Turn your vision into an actionable roadmap
Build and scale solutions from idea to impact
Embed Faktion’s AI experts into your team
Augment expertise and workflows with agents
Drive smarter decisions and business growth
Streamline manufacturing and maintenance
Build armies of domain experts, 24/7 available.
Measure real progress & achieve production quality.
Make Knowledge your competitive Advantage.
Boost productivity, optimise operations, and enhance safety through industrial-focused AI applications.
Predicting and preventing production errors in fiber manufacturing with Machine Learning.
Glanzstoff:
Real-time vehicle health insights via AI, sensor data, and mobile integration
Bridgestone:
Automated stock classification using 3D-based synthetic data and color detection AI
Belgoprism:
Data-driven analysis uncovers hidden inefficiencies in polymer extrusion processes.
Beaulieu Group:
Atlas Copco leveraged tailored AI workshops to identify high-AI opportunities
Atlas Copco Specialty Rental:
Automated computer vision solution ensures consistent quality control at scale.
Atlas Copco Airtec:
Since 2023, Faktion and TOMRA Food have built a global MLOps platform that scales deep learning across a connected fleet of food sorting machines.
Faktion and TOMRA Food Partner to:
Learn how to transform raw IoT telemetry into actionable insights with our ML pipeline for industrial machinery usage detection. Unlock hidden patterns today.
IOT data to insights:
Transforming 3M+ IoT sensor files into a query-ready dataset with a serverless Azure pipeline delivering sub-second insights at low cost.
Process Modelling can replace manual trials, enabling precise, data-driven input optimisation.
How AI reshapes the process industry through real-world impact and scalable solutions.
Explains the EU AI Act’s business impact and how Faktion helps clients navigate compliance.
How deep learning powers image generation, anomaly detection, and structured vision tasks.
High Fidelity Synthetic Images Using GAN:
How synthetic anomalies enable early fault detection in time series without labeled failures.
How AI-driven energy management reduces costs, emissions, and complexity in manufacturing.
