Monitor, predict, and adapt manufacturing processes in real time with AI copilots that operate inside your existing systems, not just on dashboards.
Existing machines, sensors, vision systems, and control software
Real-time monitoring, defect prediction, and process intelligence during production
Alerts, parameter recommendations, process adjustments, and audit-ready records
Any machine. Any sensor. One adaptive AI layer.
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 directly where production decisions happen.
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 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 production layers.
Vision transformers and temporal models transform raw sensor data into defect predictions, process regimes, and risk scores across regions of the build or part.
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 directly into advanced manufacturing and smart fabrication workflows.
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, mobility, or industrial equipment 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 on pilot and early production deployments. Let's explore how AI copilots can integrate into your production line.
