Monitor your process in real-time, predict defects as they form, and give your systems the ability to respond—not just report.
Join Dr Isil Berkun at Formnext 2025 to explore how AI copilots are transforming quality control in real-time manufacturing.
Existing sensors, machines, and control systems
Real-time monitoring, defect prediction, quality scoring
Alerts, process adjustments, audit trails
Most production lines treat quality control as a post-production activity. By the time inspection finds something wrong, the part and the time are already gone. DigiFab AI moves quality into the loop, embedded in your process.
Monitor process stability, thermal signatures, and quality indicators at high resolution so you can pause, adjust, or intervene early instead of discovering problems days later.
Our models learn representations that transfer across materials, parameter sets, and even machine types, reducing the cost of deploying AI at scale across your facility.
Structured logs, explainable alerts, and clear audit trails make it easier to plug into MES, PLM, and certification workflows instead of creating yet another silo.
We work with the sensors and control interfaces you already have. The copilot ingests your signals, learns your process, and surfaces actionable insights without forcing you to re-architect the line.
Connect cameras, photodiodes, pyrometers, acoustic emission, and log streams. We align and synchronize signals from microseconds to layers.
Vision transformers and temporal models transform raw sensor data into predictions of pore formation, spatter regimes, and risk scores for each region of the build.
The copilot can trigger alerts, flag regions for inspection, or send parameter nudges through your existing control systems, enabling gradual automation instead of a big bang.
Founder, DigiFab AI • LinkedIn Top Voice
Isil is a former Staff AI Software Engineer at Intel with a PhD in Electrical Engineering. She has built production machine learning systems for semiconductor, electronics, and manufacturing lines and teaches AI and predictive analytics through LinkedIn Learning and Columbia, Portland State and Michigan State universities.
DigiFab AI is her focused effort to bring trustworthy, multi-sensor AI copilots to advanced manufacturing and smart fabrication environments.
If any of these sound like you, let's explore how DigiFab AI can add value to your operations.
Builders who want differentiated monitoring and AI options on their platforms without standing up a full internal ML research team.
Semiconductor, aerospace, energy, or mobility suppliers who live with tight specs, increasing audit pressure, and the cost of scrap in high-mix environments.
Teams running advanced materials, parameter development, or qualification campaigns that need richer process data and better tools for experimentation.
DigiFab AI is currently working with a select group of manufacturing partners. Let's explore how AI copilots can integrate into your production line.
