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.
Transform your data into predictive insights and automated actions using sophisticated machine learning solutions.
Real-time AI detection seamlessly integrated into robotic operations and automates machinery shutdowns
Wienerberger:
Leveraging AI & synthetic data within the mobile app for faster, consistent cargo container inspections.
VRR Aero:
Smart camera solution automates brick grading, improves precision, and enables root-cause analysis
Leveraging advance digital twin and simulation techniques to increase yield by 5% and reduce energy use by 12%
Sibelco:
Real-time AI recommendations optimise energy use, throughput, and process stability for cement mills.
CCB Cementir:
AI detects anomalies before failure using synthetic data for robust validation.
Stadim and StadimData partner with Faktion to shape their path to AI-assisted real estate valuation, from inspiration to a prioritised implementation roadmap.
Stadim Partners with Faktion:
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.
Automated forecasting solution streamlines energy balancing across multiple building types.
Part 3 shows how Prompt Flow uses APE to fine-tune prompts and boost RAG response quality.
Prompt Flow in Azure ML - Part 3:
Part 2 covers how Prompt Flow simplifies RAG system design, deployment, and scalability.
Prompt Flow in Azure ML - Part 2:
Part 1 explores prompt flow’s architecture and entities for structured LLM development in Azure.
Prompt Flow in Azure ML - Part 1:
How deep learning powers image generation, anomaly detection, and structured vision tasks.
High Fidelity Synthetic Images Using GAN:
A four-step AI system transforms transaction classification and strengthens fraud detection.
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.
