KFactory Limited

KFactory @Smart Manufacturing Week

KFactory Limited — 10/04/2026

📅 Have you added it to your calendar yet?

Smart Manufacturing Week is just around the corner! Join us on 3–4 June at the NEC, Birmingham.

Stop by Booth 5/K112 to see how KFactory's AI-powered analytics are driving smarter manufacturing decisions. We look forward to seeing you there!

#SmartManufacturingWeek #KFactory #SmartManufacturing #Industry40 #NEC #Birmingham

Improving Manual Assembly Lines Efficiency and Quality Control with Computer Vision

KFactory Limited — 25/03/2025

The system has been successfully implemented at the client's organization

Introduction

The customer is a successful German business operating in the electrical engineering industry, specialising in the creation and distribution of aesthetic and functional connection points, connector strips, power distribution options, and high-performance power distribution units for various applications. The client wanted to improve the speed and quality control of their manual assembly lines, so they looked for a solution that would let them monitor the production in real time and automate data collection and reporting.

Challenges

The customer has thousands of product categories, some of which differ just by color or the brand printed on them. The production is done in small batches that are repeated at regular intervals of weeks or months.

■ Data on production and quality was collected on paper, then on Excel, with reports arriving in the ERP system with delays and potential inaccuracies.

■ There was no centralised and reliable data on efficiency, and using the in-hand procedure yielded no findings. Defects were often hand-noted on paper.

Overall, there was no real-time visibility into the performance and quality processes of the assembly lines, which inhibited decision-making and limited the optimisation potential.

Solution

KFactory created a system that can precisely identify and track every product as it is manufactured while having no impact on actual operator work.

A cutting-edge computer vision model that employs cameras strategically positioned along the line to capture real-time images of the products was successfully developed.

The backend infrastructure is Microsoft Azure, which provides the security and power required to support a real-time manufacturing process such as this one.

It was kept in mind that, due to the large number of product categories, there were no pictures of all products; thus, the images captured in real time are compared to the known product database. If the products are not detected, the line supervisor is notified, who can identify the product code linked with the unknown product photos with the help of a local tablet application. Then, using the platform’s sophisticated infrastructure in Microsoft Azure and algorithms, we retrained the new model to recognize the newly added product categories in minutes.

The model is employed immediately in production, which means that the time between detecting an unknown product and starting to recognize it automatically is only a maximum of 30 minutes.

The local application allows operators to logon and classify actual defects, eliminating all paperwork required for quality monitoring and keeping track of actions per employee.

Results

The system has been successfully implemented inside the client organization, with all roles, from operators to supervisors and managers, seamlessly using it.

The degree of automatic product recognition is more than 99%, which is an outstanding result.

The managers have complete visibility over the process: reports are sent automatically after each shift, and the business analytics platform is fed daily with new data, updating KPIs and breaking down daily activities, improving overall efficiency and productivity.

New product categories are added daily, creating an image database that is becoming more precise every moment.

Due to automation, manual data collection is reduced to zero, and potential errors are eliminated.

"By implementing a system that can precisely identify and track every product without impacting operator work, we were able to overcome the challenges of no real-time visibility and no centralised data on efficiency. Real-time image capture and automated classification, coupled with backend automation and data consolidation, have allowed us to create a secure, reliable, and scalable solution that has drastically improved our production and quality processes, Adrian Dima, Co-founder and Technical Lead KFactory.

Conclusion

This is a successful case involving the use of Artificial Intelligence in manufacturing.

The quick feedback loop built by KFactory is a plus, making it one of the few software platforms in the worldwide market that is introducing and teaching new categories in near real-time, expanding the platform’s value to enterprises with short-series manufacturing and manual assembly procedures.

By partnering with KFactory, the Client successfully improved its overall activity, and by proving itself as an early adopter of technology, it gained market leverage over its competitors.

"Collaborating with the client in the electrical engineering industry was a great opportunity for KFactory to showcase our expertise and provide them with a solution that addressed their need for real-time monitoring and data automation. By partnering with us, the client was able to improve their overall activity, and by being an early adopter of technology, they have gained an edge over their competitors", Vlad Cazan, co-founder and Sales Lead KFactory

Finally, this case study highlights the power of computer vision in tackling manufacturing-related challenges. Companies can increase their productivity and remain competitive in today’s fast-changing industrial world by embracing cutting-edge technologies.

From reactive to predictive: building the business case for Industry 4.0

KFactory Limited — 26/06/2026

Most manufacturers already know digital transformation matters. The hard part is the business case. Here is a practical framework for building one your board will sign off, plus a free 10-minute way to find your starting point.

Across the Midlands, manufacturers face the same squeeze: rising input costs, tighter margins, a stubborn skills shortage, and customers who expect more visibility and faster delivery. Industry 4.0, smart factory, IIoT, automation, data analytics - the labels keep changing, but the boardroom question stays the same. Is it worth it, and where do we actually start?

The honest answer is that digital transformation tends to fail when it starts with technology, and succeed when it starts with a clear business case. Here is how to build that case.

Current state: manual, disconnected, reactive

Most factories run on a mix of experienced people and spreadsheets. Machines hold data they never share. Planning is done the night before and reworked by lunchtime. Maintenance happens after something breaks. Quality issues are found at the end of the line, not the moment they occur. None of this is a failure of effort. It is simply the ceiling of what a disconnected, reactive operation can do.

Future state: connected, automated, predictive

A digitally mature operation looks different. Machines, sensors and business systems share a single source of truth. Schedules are optimised in seconds, not overnight. Maintenance is predicted before failure. Quality variance is caught in real time. Leaders model "what if" scenarios before committing capacity. The goal is not technology for its own sake, it is fewer surprises and better decisions.

The five questions every leadership team asks

1. What is the ROI on digital initiatives? ROI comes from three places most factories can measure today: reduced unplanned downtime, higher Overall Equipment Effectiveness (OEE), and increased throughput from the assets you already own. The key is to spend where return is fastest, which is why a maturity baseline matters before any capital is committed. KFactory reports outcomes such as up to 35% operational cost reduction and a 23.4% throughput increase across deployments.

2. How does this fit with our existing systems? This is a connectivity question, not a rip-and-replace one. The right approach integrates with what you run now, including PLC, OPC UA, Modbus and MQTT on the shop floor, and ERP, WMS and PLM in the back office. You are adding an intelligence layer on top of existing investment, not throwing it away.

3. What skills do we need on our team? Digital maturity is as much about people as platforms, which is why team digital literacy, leadership mindset and change readiness should be assessed honestly at the start. Modern platforms also reduce the reliance on scarce specialists through AI agents and "virtual engineers" that handle analysis your team would otherwise need a data scientist for.

4. What is the implementation risk? Risk is highest when transformation is treated as one big-bang project. It drops sharply when you start with a diagnostic, prove value on a single line or cell, and scale from evidence. KFactory cites implementation in around 4 weeks rather than the typical 4 to 12 months, precisely because the rollout is phased.

5. How do we scale beyond a pilot? A pilot becomes a programme when it is modular and measurable. Connect one priority line, prove the OEE and downtime gains, then extend the same connected-and-predictive model across lines and sites, adding planning, analytics and autonomous optimisation as maturity grows.

A realistic roadmap

Phase 0 - Diagnose. Establish a baseline of where you are across connectivity, analytics, people and process. This is the assessment here.
Phase 1 - Connect. Get data flowing from one high-value line or cell.
Phase 2 - Operate. Add real-time monitoring, OEE analysis and predictive maintenance on that line.
Phase 3 - Plan and Analyse. Optimise scheduling, run what-if scenarios, and roll out across the plant.
Phase 4 - Accelerate. Introduce AI agents and autonomous optimisation, then extend across sites.

Investment versus value

Phased delivery means each stage funds the next. The early wins in downtime and OEE typically pay for the deeper rollout, so you are not asking the board for a single large bet with a distant payback. You are asking for a first step with a measurable return, then a decision to continue based on evidence.

Risk mitigation in one line

Start small, integrate rather than replace, set a measurable milestone for every phase, and track progress against the baseline from your diagnostic so the gains are never in doubt.

Proof from similar manufacturers

KFactory's published results with manufacturers include:

Dacia-Renault (SILDVB), automotive stamping - 10% productivity increase
Sauter, precision engineering - 5% OEE increase

You can read more of these on the KFactory website.

Start with the free 10-minute assessment

The lowest-risk first step is to find out exactly where you stand. KFactory's free Operational Maturity Diagnostic is a short, scenario-based assessment - 12 questions across four pillars (Connectivity & Data Collection, Analytics & Intelligence, People & Culture, and Process & Governance), each scored from "Informal" through to "Optimised".

You get your scores for every pillar, a gap analysis showing your highest-leverage improvement areas, and the option of a personalised readiness report with prioritised recommendations and a suggested roadmap delivered as a PDF.

Take the assessment and let's talk about the score!

- Cristina Dima, team KFactory

KFactory Customer Collaboration AI Agent

KFactory Limited — 14/04/2026

How much time does your team spend on routine customer requests - order status checks, document requests, and complaint follow-ups?

We've built the KFactory Customer Collaboration Agent to handle exactly that:

◾️ Automated feedback collection - systematic gathering and analysis, with trends surfaced automatically
◾️ Early warning system - flags at-risk customers before the relationship deteriorates
◾️ SLA monitoring - real-time tracking with automatic escalation when thresholds are breached

It integrates with your ERP, and deploys alongside your existing systems.

Want to see more? Book a demo: 👉 Here

Knowledge as a Service and AI Agents: A Solution to the Skilled Worker Shortage in Manufacturing

KFactory Limited — 25/06/2025

The manufacturing sector is grappling with an escalating skilled-worker shortage. As veteran technicians retire and fewer young professionals enter the trade, factories face a widening skills gap. Eurostat reveals that nearly 40 % of manufacturers in the EU struggle to find qualified staff, while the figure exceeds 60 % in the UK. This shortage threatens productivity, innovation, and global competitiveness.

KFactory tackles this crisis with Knowledge as a Service delivered through advanced AI agents—its “Virtual Engineers.” These intelligent co-workers do far more than automate tasks; they transform complex production data into real-time, actionable guidance that supports operators on the shop floor. By embedding expert knowledge directly into daily workflows, these AI agents bridge the skills gap and provide a scalable solution to the skilled-worker shortage in manufacturing.

The Skills Gap: A Pressing Challenge

Modern factories are becoming increasingly sophisticated, with advanced machinery, interconnected systems, and complex workflows. This evolution demands a highly skilled workforce capable of navigating these technologies. However, the reality is stark:

Retirement of experienced workers: The manufacturing workforce is aging, and replacing retiring experts has proven difficult.
Decline in technical training: Many educational systems are not producing enough graduates with the technical skills needed in manufacturing.
Rising operational complexity: As factories adopt smart technologies, the level of expertise required to manage operations continues to increase.

This shortage doesn’t just slow down production—it impacts innovation, quality, and the ability to remain competitive in a global market.

How KFactory’s Virtual Engineers Fill the Gap

KFactory addresses these challenges head-on by integrating AI agents into factory operations. These Virtual Engineers don’t replace human workers; they complement them, acting as intelligent co-workers that make knowledge accessible, actionable, and practical.

Real-Time Guidance for Workers

One of the biggest hurdles for less experienced workers is accessing the right information quickly. Virtual Engineers solve this by providing real-time insights and instructions tailored to the situation.

For example, a Maintenance Virtual Engineer can guide a technician through a complex repair process, providing step-by-step instructions, troubleshooting advice, and instant access to documentation. This eliminates the need for extensive training or searching for information, enabling workers to perform tasks typically requiring higher expertise.

Automating Knowledge Delivery

Factories generate massive amounts of data, but raw numbers alone aren’t helpful to workers on the floor. Virtual Engineers process this data, analyze it in context, and deliver knowledge that’s easy to act on.

A Quality Virtual Engineer doesn’t just highlight a defect—it explains the root cause, suggests corrective actions, and even recommends process adjustments to prevent future occurrences. This ensures that even less experienced workers can make informed decisions.

Supporting Continuous Learning

Virtual Engineers act as mentors, providing on-the-job learning opportunities. As workers interact with these AI agents, they gain practical knowledge and develop skills that improve their performance over time. This creates a cycle of continuous improvement, empowering workers to grow alongside the technology.

The Impact of Knowledge-Driven AI Agents

Bridging the Gap Without Compromising Quality

With Virtual Engineers, factories can operate effectively even with fewer skilled workers. By handling routine tasks, analyzing data, and providing clear instructions, these agents enable teams to maintain high levels of productivity and quality.

Empowering the Workforce

Rather than replacing workers, Virtual Engineers empower them. They reduce the cognitive burden of complex tasks, allowing workers to focus on problem-solving and innovation. This makes manufacturing jobs more accessible to a broader range of people, including those with less formal training.

Boosting Factory Resilience

Factories equipped with Virtual Engineers are more adaptable to workforce changes. Whether it’s onboarding new employees or addressing unexpected challenges, these AI agents ensure that critical knowledge is always available when and where it’s needed.

A Vision for the Future

The shortage of skilled workers is a challenge, but it’s also an opportunity for transformation. By leveraging knowledge-driven AI agents, manufacturers can build factories that are not only efficient but also inclusive and resilient.

Virtual Engineers are more than tools—they are partners in creating smarter, more adaptable workplaces. They bridge the gap between human expertise and the complexity of modern manufacturing, ensuring that factories can thrive even in the face of workforce shortages.

Conclusion: Knowledge as the Key

Knowledge as a Service and AI Agents from KFactory exemplify the power of knowledge in addressing the manufacturing skills gap. By making expertise accessible, actionable, and scalable, these AI agents provide an innovative alternative to traditional workforce strategies.

In a world where skilled labor is scarce, the ability to deliver knowledge in real time is a game-changer. With Virtual Engineers, factories can not only overcome today’s challenges but also lay the foundation for a smarter, more sustainable future in manufacturing.

The new version of the KFactory 2 platform with AI agent systems - Automating routine tasks to empower humans

KFactory Limited — 28/05/2025

KFactory^®’s new version uses AI agent systems and advanced computer vision to enhance shopfloor operations - production, maintenance, quality, and sustainability

KFactory® announces the official launch of the new version of the KFactory platform—the next-generation solution dedicated to comprehensive innovation in the manufacturing industry. The update delivers major improvements through the native integration of advanced AI-agent systems - advanced AI agent systems seamlessly integrated within Microsoft Teams - empowered to autonomously manage workflows, schedule resources, and deliver complex insights.

KFactory 2 has been reengineered as a next-generation platform designed to drive comprehensive manufacturing innovation, now fully extending its capabilities to include machine and tool maintenance, quality assurance, and sustainability processes.

By automating these routine processes, Virtual Engineers enable human teams to dedicate their expertise to high-value, creative, and customer-facing activities.

Key innovations in KFactory 2:

▪ AI agents continuously oversee operations, monitor performance trends, manage routine administrative tasks, flag anomalies, and deliver actionable insights 24/7. By automating these routine processes, KFactory enables human teams to dedicate their expertise to high-value, creative, and customer-facing activities.

▪ AI continuous process improvement: The AI agent systems monitor results, propose continuous improvements, and then monitor their implementation and effectiveness.

▪ "What if" analysis: Leveraging real historical data to allow managers to predict how potential changes will influence performance.

▪ Advanced computer vision: Real-time product counting, object recognition, dynamic surface area measurement, and intelligent detection of dynamic bin loadings, significantly enhancing operational accuracy.

▪ Sensor-based condition monitoring: Proactive alerts triggered by energy, pressure, or vibration thresholds, preventing downtime before it occurs.

▪ Intelligent internal logistics: Computer vision-driven replenishment notifications optimize inventory management and fill labor gaps effectively.

▪ Digital quality control: Automated validation of technician-reported quality checks with conformity report creation.

▪ Maintenance optimization: Digital checklists for routine maintenance ensure early detection of issues and rapid response.

▪ Access to entire company documentation: Instant access to manuals, procedures, and instructions via multiple channels by simply querying in natural language.

"The new KFactory 2 version is a huge step forward; it’s one of the first B2B platforms in the world to natively embed advanced AI agent systems at its core." said Adrian Dima, KFactory® Co-founder. "Our Virtual Engineers are an incredible productivity tool for any company, not only in manufacturing."

"By incorporating comprehensive AI capabilities, KFactory 2 transforms data into real-time actions," said Vlad Cazan, KFactory® Co-Founder. "Our customers are experiencing rapid ROI by unlocking human potential and gaining immediate, deep visibility across their entire operational landscape."

Availability:

KFactory 2 and the AI Agents are now available globally. Existing customers will receive the update gradually in the next three months.

Visit us at Smart Manufacturing Week 2026

KFactory Limited — 26/02/2026

We’d like to invite you to join us at Smart Manufacturing Week 2026, taking place from 3 - 4 June at the NEC, Birmingham.

This year’s event brings together the UK’s largest community of manufacturers, engineers, and innovators – offering insights into the latest technologies, supply chain solutions, and strategies shaping the future of industry.

We’ll be exhibiting at the event, and I’d be delighted for you to stop by our stand 5/K112 to see what we’ve been working on and discuss how we can support your upcoming projects.

You can find out more about the show and register for free here.

Looking forward to seeing you at the event.

KFactory® has been accepted into the Innovate UK Global Business Innovation Programme: AI-Enhanced Manufacturing USA!

KFactory Limited — 23/01/2026

We’re excited to share that KFactory® has been accepted into the Innovate UK Global Business Innovation Programme: AI-Enhanced Manufacturing USA!

Last week, the Get Ready workshop marked the start of our journey on this Innovate UK Global Business Innovation Programme. We immersed ourselves in the AI-enhanced manufacturing landscape, exploring new insights and identifying fresh opportunities to harness the power of AI to drive productivity and innovation across the manufacturing sector.

It was also a great opportunity to connect and collaborate with fellow innovative UK companies, fostering a strong community where shared ideas and partnerships can unlock real potential.

A big thank you to the Innovate UK Business Connect team for the support and for bringing together such a valuable opportunity for us. We’re excited to continue this journey and explore how Innovate UK can support us in driving global opportunities.

KFactory visit in Boston, at the MIT

KFactory Limited — 31/03/2026

Last week, our co-founder Vlad Cazan spent some truly memorable days full of unique experiences in Boston.

From visiting the British Consulate-General Boston to engaging with leading innovation hubs such as the MIT Initiative for New Manufacturing (INM) and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), this journey has been both inspiring and eye-opening.

One of the highlights was pitching in the living room of an MIT professor, surrounded by brilliant minds.

Visiting Massachusetts Institute of Technology is a must for anyone in the tech industry. The discussions he had were not only insightful but also validating that KFactory® is on the right path in how we approach AI in manufacturing.

Seeing firsthand the work done in advanced manufacturing at MIT made one thing very clear: integrating AI into operational processes is no longer optional; IT’S ESSENTIAL.

We are grateful for these experiences and for the people who made them possible, especially the Innovate UK team who made it all happen.

The Rise of Next Frontier of AI in Manufacturing by World Economic Forum

KFactory Limited — 07/03/2025

Recent findings from the World Economic Forum shed light on a significant shift in manufacturing: the rise of “next frontier” AI agents. According to the study, these advanced systems can revolutionise production by optimising machine operations, streamlining processes, and driving down costs. At the same time, they can enhance worker safety and help companies meet sustainability goals.

What Are Next Frontier AI Agents?

Unlike traditional AI solutions, which focus primarily on data analytics and pattern recognition, next frontier AI agents interact more dynamically with real-time data. They can learn from ongoing operations, adapt to changing environments, and make autonomous decisions. This level of agility helps manufacturers quickly respond to unforeseen disruptions, such as supply chain delays, equipment failures, and fluctuating market demands.

Why Embrace These Technologies?

Cost Savings: By proactively identifying bottlenecks and recommending process improvements, AI agents enable more efficient workflows, reducing scrap and rework.
Enhanced Flexibility: As market conditions evolve, manufacturers can rapidly pivot production lines based on AI insights—staying resilient and competitive.
Workforce Support: AI agents handle repetitive or dangerous tasks, freeing human workers to focus on innovation and strategy. This collaboration improves employee satisfaction and safety.
Sustainability Goals: Smart resource monitoring helps reduce energy consumption and waste. This capability contributes to cleaner production methods, aligning with global environmental standards.

Looking Ahead

The World Economic Forum’s study highlights how next frontier AI agents can drive digital transformation within manufacturing. By integrating these cutting-edge tools, businesses can become more agile, proactive, and efficient—traits that are essential in today’s fast-paced market. As adoption grows, we expect to see accelerated advancements in productivity, profitability, and sustainability, benefiting both manufacturers and their customers.

For companies eager to remain competitive, now is the time to explore how AI agents can seamlessly fit into current operations. By doing so, they’ll be well-positioned to navigate future challenges and harness the full potential of Industry 4.0.

We're exhibiting at Smart Factory Expo, part of Smart Manufacturing Week 2025

KFactory Limited — 01/04/2025

We're exhibiting at Smart Factory Expo, part of Smart Manufacturing Week 2025, and we would love to see you there!

Smart Manufacturing Week 2025 runs at the NEC Birmingham on 4-5 June 2025. We have lots of activities planned, and there are a host of engaging seminars, workshops sessions and live product demonstrations for you and your colleagues to get involved in.

Your pass provides access to all 4 co-located events taking place on the 4-5 June 2025 at the NEC: Design & Engineering Expo, Drives & Controls, Smart Factory Expo and Maintec.

We hope to see you there. KFactory, stand 5/P73

Visitor passes are free-of-charge, please register now to secure your attendance.
Register now for your free entry badge and to receive regular show updates and news.

Register today

Location:
NEC, National Exhibition Centre North Ave, Birmingham, B40 1NT

Opening Times:

Wednesday 4 June 2025
09:30 - 17:00

Thursday 5 June 2025
09:30 - 16:00

BEYOND THE PILOT: How do we move Al from experiment to everyday operations?

KFactory Limited — 15/06/2026

Last week we finished wrapping up the infromation we got at Smart Manufacturing Week in Birmingham. Here, The Manufacturer's 2026 Manufacturing Momentum Report named the AI questions UK manufacturers are actually asking.

Its verdict was blunt: AI is no longer an emerging technology in manufacturing - it is an operational expectation. The challenge is no longer whether to adopt AI, but how.

Here is how we answer the report's five AI questions:

- Move beyond pilots? Embed AI in the daily loop, not a lab. KFactory Accelerate runs autonomous optimisation with a ratcheting guarantee - it proposes a change, measures the impact, and keeps it only if performance improves. Every change is reversible.
- Which use cases deliver measurable ROI? Real-time OEE, AI-powered predictive maintenance with remaining-useful-life estimates, and Vision AI for quality on moving lines. ROI shows up in availability, scrap and downtime.
- Is our data good enough? Connect unifies PLC, OPC UA and Modbus signals with ERP and MES into one source of truth, so AI decisions rest on live data, not stale spreadsheets.
- Planning and scheduling? Plan re-optimises a finite-capacity schedule in under 30 seconds and flags bottlenecks 14 days ahead.
- Skills and governance to scale safely? Accelerate ships with human-in-the-loop checkpoints, audit trails, role-based access and prompt-injection protection.

See AI working on the shop floor: KFactory.ai

Digital Transformation at TRISTAR STEEL with KFactory platform

KFactory Limited — 05/05/2025

Tristar Steel opted for digitalization of its production processes by implementing the KFactory^® platform

Tristar Steel, part of the Akçelik Group, a globally renowned innovative company specialising in the production of hard chrome steel bars and linear shafts, has opted for the digitalisation of its production processes by implementing the KFactory^® platform.

Previously, the company faced significant challenges in collecting and analysing production data, which indeed directly affected operational efficiency and decision-making.

Context:

The collection of production data at Tristar was done manually, using worksheets and disparate computer systems. Therefore, this was prone to errors, delays and gave an incomplete picture of production processes. Consequently, the company faced the following challenges:

■ Lack of visibility: No overall visibility on the real-time performance of production lines.

■ Incorrect data: Manual errors were also certainly affecting the accuracy of reports and analysis.

■ Delays in reporting: Reports were generated late, making it difficult to take operational decisions.

■ Difficulties in optimizing processes: Lack of accurate and up-to-date data prevents problems from being quickly identified and remedied.

■ The operational processes of quality, stock management and production order management were significantly hampered specifically by the lack of real-time data.

The Solution:

Specifically, to overcome these challenges, Tristar Steel decided to implement the KFactory^® platform. We implemented the solution on a complex production line, integrating various industrial machines. Therefore, the KFactory^® team worked closely with the company’s operational team to ensure a successful implementation.

The main reasons for choosing the KFactory^® solution are:

The need to monitor performance in real time and identify bottlenecks so that we can make quick;
The need to improve productivity and reduce downtime;
The need for improved traceability of both materials and labor;
The need of improving soon individual and group responsibilities;
The need for real-time data collection and analysis to optimize processes and reduce costs;
Flexibility and scalability;
Lastly, improving the efficiency, quality and competitiveness of production operations, ultimately contributing to higher profitability and increased customer portfolio.

"In conclusion I define working with the KFactory^® Team as follows: Effectiveness + Efficiency = Excellence.We chose KFactory^® because this solution obviously and perfectly fits our specific needs and will help us achieve our growth and development objectives. Simultaneously, that implementation was the fastest overall and most efficient implementation to date. For that reason, the collaboration with the KFactory^® team has been undeniably one that has exceeded expectations with its professionalism and efficiency." Nicoleta Dobre, CEO Tristar Steel

Features of the chosen solution, best practices:

Automated data collection: the system collects production data automatically and in real time, eliminating human error and therefore improving the accuracy of information.

Real-time visibility: the platform provides, without doubt, a clear and up-to-date picture of equipment and operator performance.

Advanced analytics: KFactory^® Analytics enables customized reporting and data analysis to identify trends, anomalies and opportunities for improvement.

Integration with ERP system: the platform integrates with the Navision ERP system to take production orders and automatically transmit the collected data.

Results:

The implementation of KFactory^® has had, without doubt, a significant impact on Tristar Steel’s operations:

In the first 3 months of implementation there was a 20% increase in production efficiency.
Now the rules and execution times for orders can be set correctly.
Real-time visibility on order execution status.
Improved data quality: the data collected is more accurate and reliable, allowing more accurate performance analysis.

“As a result, in the first 3 months after implementation we have seen a 20% increase in production efficiency; all operators (50 people) are using the KFactory^® platform, all equipment in the production flow is monitored with it. The solution is also the daily tool for the management team (middle and top level) to help optimize scheduling and workflow, reduce delivery times and improve on-time delivery performance. KFactory^® gives operators and managers easy access to information and tools, allowing them to take control of their work processes and contribute to continuous improvement. It promotes better communication and collaboration between different departments, teams and locations, leading to a cohesive production process” Nicoleta Dobre, CEO Tristar Steel

Tristar Steel continues, without doubt, to exploit the potential of the KFactory^® platform. The next project milestones include:

Monitor energy consumption to reduce costs and improve sustainability.

Carbon footprint calculation to comply with environmental regulations and demonstrate the company’s commitment to sustainability.

Your purchasing is reactive. Your competitors' won't be.

KFactory Limited — 25/03/2026

Too much stock locks up capital. Too little stops production. And manual purchasing decisions never quite get the balance right.

KFactory's Purchasing Planning Agent uses AI to generate smart purchase recommendations based on real demand forecasts, supplier lead times, and inventory targets - so you order exactly what you need, when you need it, from the right supplier.

Manufacturers using it are seeing:
◾️ 18% lower procurement costs
◾️ 98% material availability on time
◾️ 30% less excess inventory

And because it's fully self-hosted, your data never leaves your infrastructure.

Ready to see it with your own procurement data? Book a live demo, and we'll show you.

See How It Works

Operate smarter, every shift. And turn data into decisions in minutes

KFactory Limited — 13/07/2026

The Manufacturer's 2026 Manufacturing Momentum Report reframes productivity well: it is no longer about adopting lean tools, but sustaining lean behaviours. Manufacturers know the theory yet struggle with engagement, leadership capacity and workforce readiness.

Answering the report's productivity questions:

Make lean stick beyond consultants? Embed it in daily work. Real-time OEE and downtime analysis make the waste visible every shift, not just during an audit.
Engage the workforce in continuous improvement? Digital CAPA and 8D workflows put structured problem-solving in operators' hands, with results everyone can see.
Close productivity gaps from inexperienced graduates? Virtual Engineers and AI knowledge management give newer staff instant access to best-practice answers grounded in your data.
Balance standardisation with human variability? Statistical process control with Cp/Cpk separates real signal from normal variation, so you standardise what matters.
Shift leaders from firefighting to coaching? When dashboards surface issues early and Plan flags bottlenecks 14 days out, leaders coach improvement instead of chasing fires.

Operate smarter, every shift: Operate
And turn data into decisions in minutes: Analyse

What stops lean from sticking in your plant - tools, time or culture?

KFactory new website launch

KFactory Limited — 01/06/2026

Last month, our Platform got a makeover! 🎨 We've rolled out a structured, AI-based layout that prioritises clarity and speed. 5 pillars are now the base of our Platform: Connect, Plan, Operate, Accelerate, Analyse - so you get the full picture of your operations at a glance.

As the companies' operations gets more mobile, we've brought desktop-level functionality to phones and tablets. Clarity shouldn't depend on screen size, or where you’re checking data from. Credit to our design team for making it happen! 🙌

Check out now our new website, for a full immersion in the industries we're approaching and the functionalities we're bringing! LINK

Integrating AI Agents into factory operations

KFactory Limited — 10/02/2025

Integrating AI Agents, like Virtual Engineers from KFactory, into factory operations significantly enhances productivity by leveraging their ability to summarise internal procedures, respond quickly to queries, generate reports with historical data, interpret data, and seamlessly connect with third-party systems like ERP and WMS.

Here’s how they contribute to productivity gains, along with specific numbers and benefits:

Rapid Information Access and Knowledge Management:

Up to 50% reduction in time spent searching for internal procedures and documentation.
Virtual Engineers provide instant access to summarised procedures and policies, enabling employees to resolve issues without delay.
Benefit: Accelerates task completion and reduces downtime caused by information gaps.

Automated Reporting and Historical Data Analysis:

Decrease in manual reporting efforts by up to 60% through automated data aggregation and report generation.
Virtual Engineers compile historical data into actionable insights, saving time on data gathering and analysis.
Benefit: Frees up staff to focus on strategic initiatives rather than routine reporting tasks.

Data Interpretation and Decision Support:

Improvement in decision-making speed by up to 40% due to real-time data interpretation.
They analyse complex datasets to provide understandable summaries and recommendations.
Benefit: Enhances the quality and speed of managerial decisions, leading to more agile operations.

Integration with Third-Party Systems (ERP, WMS, etc.):

Reduction of data silos leading to a 35% increase in data accuracy and consistency.
Virtual Engineers seamlessly connect with existing systems to synchronise data across platforms.
Benefit: Ensures all departments operate with the most current information, reducing errors and miscommunication.

Enhanced Data Collection and Analysis in Factory Scenarios:

Up to 25% improvement in operational efficiency through real-time data collection and analysis.
They monitor equipment and processes, identifying anomalies or inefficiencies immediately.
Benefit: Proactive issue resolution minimises downtime and maintains optimal production levels.

Efficient Communication and Collaboration:

Reduction in inter-departmental communication delays by up to 30%.
Virtual Engineers facilitate instant messaging and information sharing between teams.
Benefit: Streamlines collaboration, ensuring faster project completion and problem-solving.

Predictive Maintenance and Downtime Reduction:

Decrease in equipment downtime by up to 40% via predictive analytics.
They predict maintenance needs before failures occur, scheduling repairs proactively.
Benefit: Extends equipment life and maintains continuous production flow.

Inventory Management and Supply Chain Optimization:

Inventory holding costs reduced by up to 20% through better demand forecasting.
Virtual Engineers analyse trends to optimise stock levels and reorder points.
Benefit: Balances inventory investment with service levels, improving cash flow.

Quality Control and Compliance:

Reduction in defect rates by up to 30% due to constant monitoring and immediate feedback.
They ensure processes adhere to quality standards, flagging deviations instantly.
Benefit: Enhances product quality, customer satisfaction, and reduces waste from rework.

Why Productivity Increases with Virtual Engineers:

Streamlined Access to Information: Employees no longer waste time sifting through manuals or databases; Virtual Engineers provide answers instantly.
Automation of Routine Tasks: By handling data entry, reporting, and monitoring, they reduce the burden of repetitive tasks on staff.
Improved Data Utilisation: They turn raw data into actionable insights, enabling smarter decisions at all organisational levels.
Enhanced System Integration: Bridging disparate systems eliminates redundancy and ensures everyone works with the same accurate data.
Proactive Operations Management: Predictive analytics and real-time monitoring prevent issues before they impact production.

Overall Benefits:

Productivity Gains: Overall productivity can increase by 20% to 50%, depending on the extent of Virtual Engineer integration.
Cost Savings: Significant reductions in labor costs associated with manual data handling, reporting, and error correction.
Competitive Advantage: Faster, data-driven decision-making processes position companies ahead of competitors.
Employee Satisfaction: By eliminating tedious tasks, employees can focus on more engaging work, improving morale and retention.

Example Scenario:

A manufacturing plant implemented Virtual Engineers to assist with maintenance and production. They experienced:
A 45% reduction in unplanned downtime, saving approximately $1 million annually.
An increase in production output by 25%, meeting customer demands more effectively.
A 35% decrease in inventory costs due to better demand forecasting and inventory management.

Conclusion:

Virtual Engineers act as a powerful catalyst for productivity enhancement in factory environments. By providing quick access to information, automating routine tasks, integrating systems, and interpreting data, they enable organisations to operate more efficiently and effectively. The quantifiable benefits demonstrate a compelling return on investment, making them an essential component of modern industrial operations.

Production scheduling in seconds, not hours.

KFactory Limited — 12/03/2026

If your production planning still relies on spreadsheets, whiteboards, or that one person who "just knows" the schedule - you're not alone. Most factories we talk to started exactly there.

The problem? It works until it doesn't. A machine goes down, a rush order comes in, a supplier is late - and suddenly the whole week needs to be replanned from scratch.

KFactory® Generative Scheduling was built for exactly this.

It's a production planning platform that handles sequencing, machine assignment, and timing automatically to generate feasible, optimised schedules in seconds - not hours. And when things change (they always do), you re-run the solver and get an updated plan immediately.

We'd love to show you how it works with your actual production data. No generic demo - your machines, your products, your constraints.

Book a meeting here: KFactory Generative Scheduling

Live Production Reports at Teconnex

KFactory Limited — 04/02/2025

Teconnex factory obtains live production reports using the solution implemented by KFactory

Teconnex Europe, a manufacturer of technical coupling solutions for the automotive industry, following the completion of a digital transformation project alongside Orange Business, can analyse real-time information related to the production flow through a solution delivered by a start-up grown in the Orange Fab incubator, a solution also used by dozens of other factories.

Context:

Teconnex Europe was founded six years ago and is part of a group of companies that has factories in seven countries. In Romania, the Teconnex Europe factory produces technical coupling solutions for the automotive industry and has over 230 employees, growing from the initial 40 employees when actual production began. Teconnex sought an experienced partner to immediately benefit from the efficiency of digital transformation by digitizing the traditionally manual production processes in the factory. Teconnex initially chose Orange Business for the implementation of infrastructure services – mobile phone services, fixed internet, structured cabling.

As development progressed, Teconnex’s needs grew, and Orange Business began delivering other services, such as managed Wi-Fi services in the production hall and offices, as well as presenting solutions to address real-time production analysis needs. One of these solutions, KFactory, was already „grown“ in the Orange Fab business incubator and perfectly suited Teconnex’s needs to monitor production, to see the rate of defective products or those requiring special attention. Orange Business, together with the start-up KFactory, created a long-term digital transformation plan, as a result of which Teconnex Europe will have complete visibility over all processes on the production line to intervene immediately in case of deviations from the production plan.

The solution chosen:

The solution selected was KFactory, an Industry 4.0 solution to automate data collection and analysis from industrial production equipment. The KFactory solution is part of the Orange Fab incubator, managed by Orange Business. It allows real-time analysis of data from industrial processes and provides live production reports so managers can easily identify areas where intervention is needed for efficiency.

Features of the chosen solution, good practices:

The implementation of the KFactory solution within Teconnex had several specificities related to factory operations and the need to ensure cybersecurity in the production flow alongside the digitization process.

„ In terms of specificities, because we are talking about something different from other customers, we had the opportunity to implement the solution in a spot-welding production flow, which we had never done before. A large part of Teconnex’s production flow consists of spot welding. This was a challenge for us – to come up with a different approach and ensure that our platform can be implemented on any type of equipment, on any type of production flow.“ Vlad Cazan, Co-founder of KFactory

„A very important aspect in implementation was cyber security. We took this global threat very seriously, which is why the solution implementation was done in parallel with securing all components by those involved in the project and with user training to reduce the risks of cyber-attacks.“ Ciprian Foghis, ICT Business Development Manager at Orange Business

Results for the Live Production Reports at Teconnex:

40% of employees, out of a total of 230, use the KFactory app as part of the production process. As a result of this process, monthly production has reached 280,000 units, marking a significant 12% increase compared to 2022.
4% increase in production efficiency, as a result of using the KFactory system.

„In addition to the results we see and feel, we also have positive feedback from employees who interact daily with this system.“ Ovidiu Gavriş, General Manager, Teconnex Europe

Implementing the industrial process data analysis system will enable Teconnex to leverage AI and machine learning for predictive maintenance and risk pattern recognition, helping managers foresee potential situations.

Benefits of Live Production Reports:

■ Access to real-time data.
■ Rapid adoption of the system.
■ High level of user satisfaction.

Automation questions that keep operations leaders up at night

KFactory Limited — 06/07/2026

The Manufacturer's 2026 Manufacturing Momentum Report surfaced the automation questions that keep operations leaders up at night - and they are mostly about data, not robots.

Our take on each:

Meaningful IT-OT convergence without disruption? That is exactly what Connect is built for - a bridge between industrial protocols (PLC, OPC UA, Modbus, RS232/485) and business systems (ERP, WMS, PLM, CRM), with real-time REST APIs and event-driven webhooks.
What does a realistic single source of truth look like? Not one giant database - one consolidated, live view of machines, sensors and business systems that every role can trust.
Prepare data foundations for AI without rebuilding everything? Connect to what you already run. The foundation is unified live data, not a new factory.
Tackle decades of industrial data debt? Bring legacy equipment online alongside modern IoT, then standardise the data model centrally.
Standardise across sites without killing local agility? A shared backbone with local control - common definitions, local execution.

See how we connect everything: https://kfactory.ai/platform/connect-overview

What is the oldest machine you would want connected tomorrow?

If you want a demo of how the KFactory platform works, feel free to email us: cristina.dima@kfactory.ai

KFactory accelerate digital transformation at YASA ’s UK e-motor development facility

KFactory Limited — 20/02/2025

KFactory^®, a leading Industry 4.0 platform specializing in advanced data collection and analysis, is proud to announce the successful deployment of its innovative solution at YASA, a wholly owned subsidiary of Mercedes-Benz, renowned for its pioneering axial-flux electric motor technology.

This swift implementation enhances YASA’s quality department by providing deep insights into machine performance and product quality. By collecting and analyzing complex data from machines, KFactory®’s platform reveals critical correlations between various production parameters, empowering YASA’s quality teams to better understand and optimize their processes.

YASA, headquartered in Oxford, UK, has been at the forefront of electric motor innovation for 15 years. The integration of KFactory’s platform aligns with YASA’s commitment to engineering excellence and continuous innovation.

“The manufacturing industry is one of the most undigitalised in the world; however, those with the openness to move to Industry 4.0 and digitalise their factories will gain a significant competitive edge,” said Vlad Cazan, Co-founder of KFactory®.

Adrian Dima, Co-founder of KFactory®, added “Our collaboration with YASA demonstrates how quickly deployed digital solutions can drive meaningful improvements in operational efficiency and product quality by uncovering hidden data relationships.”

Advanced Manufacturing Director at YASA, Kai Bunde, commented, “Implementing KFactory®’s platform has enhanced our quality department with comprehensive data analytics, allowing us to make informed decisions with greater confidence. This advancement further supports our mission to lead in electric motor innovation.”

The deployment of KFactory®’s platform at YASA underscores the importance of digital transformation in manufacturing, particularly within high-stakes research environments. By leveraging complex data analysis, YASA is poised to enhance its production processes, ensuring the highest standards in electric motor development.

About KFactory®

KFactory® is an Industry 4.0 platform that automates data collection from machines and delivers in-depth analysis to enhance operational performance. By integrating advanced analytics and virtual engineering support, KFactory® enables manufacturers to optimize processes, reduce downtime, and improve product quality through a deeper understanding of production parameters.

About YASA

YASA, a wholly owned subsidiary of Mercedes-Benz Group since 2021, is redefining the future of Electric Vehicle performance. YASA design and manufacture high performance electric motors and power electronics for the premium automotive industry, employing 450 people across sites in Oxford, Bicester and Welshpool. YASA’s revolutionary axial-flux electric powertrain technology brings the highest power/torque densities in its class for the smallest size and weight.

Media Contacts:

For KFactory Limited:

Innovation Centre Gallows Hill

Warwick, CV34 6UW, United Kingdom

Email: cristina.dima@kfactory.eu

For YASA:

YASA Limited

Oxford, United Kingdom

Email: media@yasa.com

Exclusive pilot platform testing opportunity for Made in the Midlands members!

KFactory Limited — 28/04/2025

KFactory® offers Made in the Midlands members the opportunity to test its platform for shop floor real-time data collection and advanced analytics of key performance indicators (KPIs), including OEE, energy consumption, and direct CO2 emissions.

KFactory® is a cutting-edge platform designed to enhance operational efficiency in the metal industry by leveraging Industry 4.0 technologies like IIoT and AI.

The pilot will include the following:

Deployment of the KFactory® platform for real-time data collection from industrial machines, enabling real-time OEE calculations, energy consumption monitoring, and direct CO2 emissions measurement.
Deployment of the KFactory Analytics (a Business Intelligence platform) to analyze the collected data and key performance indicators (KPIs), such as OEE, energy consumption, MTTR, MTBF, and CO2 emissions.
One-month period of full platform usage to evaluate its effectiveness and benefits.

For more details please contact us at vlad.cazan@kfactory.ai or at +44 7438 199931

Building Supply Chain resilience: how KFactory answers The Manufacturer’s 2026 Momentum Report

KFactory Limited — 21/07/2026

The Manufacturer's 2026 Manufacturing Momentum Report describes today's supply chain strategy as an exercise in defence - prioritising resilience, localisation and risk reduction over pure optimisation, in a world of tariffs, geopolitical tension and power imbalance.

How KFactory helps answer the report's questions:

Reduce exposure to geopolitical and trade risk? The Analyse what-if engine models Best, Base and Worst scenarios across operations, purchasing and inventory, so you stress-test disruption before it hits.
When does reshoring genuinely improve resilience? Run the numbers, not the narrative - model cost, capacity and lead-time trade-offs side by side.
Manage tariffs and cross-border complexity? AI forecasting with measurably better accuracy than spreadsheets helps you plan around shifting landed costs.
Smaller manufacturers navigating OEM power imbalances? Plan re-optimises capacity in under 30 seconds, so you can say yes to rush orders with confidence and protect margin.
Reliable Scope 3 data from complex supply chains? Connect captures supplier data through bidirectional ERP and API sync - auditable figures, not estimates.

Resilience or efficiency - which is winning the argument in your boardroom?

The antidote to manufacturing change fatigue: Rapid integration with KFactory

KFactory Limited — 23/06/2026

At Smart Manufacturing Week, The Manufacturer's 2026 Manufacturing Momentum Report captured an honest mood: digital transformation has become unavoidable and uncomfortable. Manufacturers are no longer chasing innovation - they are managing integration, complexity and change fatigue at scale.

Our short answers to the report's questions:

Integrate ERP, MES and legacy without disruption? Connect bridges OT and IT - serial, Modbus, PLC and OPC UA on one side, bidirectional ERP, WMS, PLM and CRM sync on the other. Legacy equipment stays; you add a layer rather than rip and replace.
Scale consistently across sites? A common data model and role-based dashboards give every site the same single source of truth while keeping local control.
Why do projects fail, and how do we avoid it? They fail when scope balloons and value arrives too late. KFactory targets a 4-week implementation versus 6-12 months for legacy stacks, so value lands before fatigue sets in.
Cost, complexity and change fatigue at once? Start with one line, prove the number, then expand. The ratcheting approach means changes are reversible and low-risk.
Prepare for AI without overhauling everything? Connect first. Clean, unified live data is the only real prerequisite for AI.

Start with the foundation: https://kfactory.ai/platform/connect-overview/
Or benchmark where you stand: https://kfactory.ai/assessment/

What has stalled transformation most in your business - cost, complexity or fatigue?

If you are interested on how KFactory can help you, email us at cristina.dima@kfactory.ai

Skills and culture have become either the foundation or the failure point of manufacturing strategy

KFactory Limited — 29/06/2026

The Manufacturer's 2026 Manufacturing Momentum Report puts it sharply: skills and culture have become either the foundation or the failure point of manufacturing strategy. The task is no longer just filling vacancies, but building adaptable, capable teams amid constant change.

How KFactory supports the report's people questions:

Job-ready skills when graduates arrive underprepared? Accelerate's Virtual Engineers answer plain-language questions grounded in your own data, with source references - so a new starter has a production planner, quality engineer and maintenance specialist on call.
Retain knowledge as experienced workers retire? AI-powered knowledge management captures how problems were solved, turning tacit expertise into a searchable asset that does not walk out the door.
Leadership for constant change? Real-time dashboards move leaders from gut feel to evidence, so they can steer change rather than react to it.
Break silos and blame cultures? Sequential and parallel agent workflows pass insight across operations, quality, maintenance and planning - shared facts replace finger-pointing.
Attract and retain a diverse workforce? Modern, intuitive tools make engineering roles more accessible and less dependent on decades of plant-specific tribal knowledge.

Meet your Virtual Engineers: https://kfactory.ai/platform/accelerate

What is your biggest people risk this year - the skills gap or the knowledge cliff?

KFactory Limited

KFactory @Smart Manufacturing Week

Improving Manual Assembly Lines Efficiency and Quality Control with Computer Vision

The system has been successfully implemented at the client's organization

Introduction

Challenges

Solution

Results

Conclusion

From reactive to predictive: building the business case for Industry 4.0

Current state: manual, disconnected, reactive

Future state: connected, automated, predictive

The five questions every leadership team asks

A realistic roadmap

Investment versus value

Risk mitigation in one line

Proof from similar manufacturers

Start with the free 10-minute assessment

KFactory Customer Collaboration AI Agent

Knowledge as a Service and AI Agents: A Solution to the Skilled Worker Shortage in Manufacturing

The Skills Gap: A Pressing Challenge

How KFactory’s Virtual Engineers Fill the Gap

The Impact of Knowledge-Driven AI Agents

Bridging the Gap Without Compromising Quality

Empowering the Workforce

Boosting Factory Resilience

A Vision for the Future

Conclusion: Knowledge as the Key

The new version of the KFactory 2 platform with AI agent systems - Automating routine tasks to empower humans

KFactory®’s new version uses AI agent systems and advanced computer vision to enhance shopfloor operations - production, maintenance, quality, and sustainability

Visit us at Smart Manufacturing Week 2026

KFactory® has been accepted into the Innovate UK Global Business Innovation Programme: AI-Enhanced Manufacturing USA!

We’re excited to share that KFactory® has been accepted into the Innovate UK Global Business Innovation Programme: AI-Enhanced Manufacturing USA!

KFactory visit in Boston, at the MIT

The Rise of Next Frontier of AI in Manufacturing by World Economic Forum

What Are Next Frontier AI Agents?

Why Embrace These Technologies?

Looking Ahead

We're exhibiting at Smart Factory Expo, part of Smart Manufacturing Week 2025

We're exhibiting at Smart Factory Expo, part of Smart Manufacturing Week 2025, and we would love to see you there!

BEYOND THE PILOT: How do we move Al from experiment to everyday operations?

Digital Transformation at TRISTAR STEEL with KFactory platform

Tristar Steel opted for digitalization of its production processes by implementing the KFactory® platform

Context:

The Solution:

The main reasons for choosing the KFactory® solution are:

Features of the chosen solution, best practices:

Results:

Your purchasing is reactive. Your competitors' won't be.

Operate smarter, every shift. And turn data into decisions in minutes

KFactory new website launch

Integrating AI Agents into factory operations

Rapid Information Access and Knowledge Management:

Automated Reporting and Historical Data Analysis:

Data Interpretation and Decision Support:

Integration with Third-Party Systems (ERP, WMS, etc.):

Enhanced Data Collection and Analysis in Factory Scenarios:

Efficient Communication and Collaboration:

Predictive Maintenance and Downtime Reduction:

Inventory Management and Supply Chain Optimization:

Quality Control and Compliance:

Why Productivity Increases with Virtual Engineers:

Overall Benefits:

Example Scenario:

Conclusion:

Production scheduling in seconds, not hours.

Live Production Reports at Teconnex

Teconnex factory obtains live production reports using the solution implemented by KFactory

Context:

The solution chosen:

Features of the chosen solution, good practices:

Results for the Live Production Reports at Teconnex:

Benefits of Live Production Reports:

Automation questions that keep operations leaders up at night

KFactory accelerate digital transformation at YASA ’s UK e-motor development facility

KFactory®, a leading Industry 4.0 platform specializing in advanced data collection and analysis, is proud to announce the successful deployment of its innovative solution at YASA, a wholly owned subsidiary of Mercedes-Benz, renowned for its pioneering axial-flux electric motor technology.

Exclusive pilot platform testing opportunity for Made in the Midlands members!

Building Supply Chain resilience: how KFactory answers The Manufacturer’s 2026 Momentum Report

The antidote to manufacturing change fatigue: Rapid integration with KFactory

Skills and culture have become either the foundation or the failure point of manufacturing strategy

KFactory^®’s new version uses AI agent systems and advanced computer vision to enhance shopfloor operations - production, maintenance, quality, and sustainability

Tristar Steel opted for digitalization of its production processes by implementing the KFactory^® platform

The main reasons for choosing the KFactory^® solution are:

KFactory^®, a leading Industry 4.0 platform specializing in advanced data collection and analysis, is proud to announce the successful deployment of its innovative solution at YASA, a wholly owned subsidiary of Mercedes-Benz, renowned for its pioneering axial-flux electric motor technology.