About
We believe factories deserve better AI.
Manufacturing is the backbone of the global economy. It powers everything we build, ship, and consume. Yet most factories still make critical decisions based on static dashboards, manual inspections, and gut feel. We are here to change that.
Our Mission
To make autonomous manufacturing intelligence accessible to every factory. Not as an expensive, multi-year consulting engagement, but as a platform that deploys fast, learns continuously, and proves its value in dollars, not slide decks.
Our Vision
A world where every manufacturing operation has an AI partner that monitors, predicts, and optimizes. Autonomously, transparently, and accountably. Where the distance between a sensor reading and a business decision is measured in seconds, not weeks.
Our Values
Principles that shape everything we build
Manufacturing First
We build for the factory floor. Every design decision starts with the question: does this solve a real problem for the people running production?
Radical Transparency
Every prediction comes with an explanation. Every model publishes its accuracy. Every data source is labeled. If our AI is unsure, it says so.
Real Data, Real Models
No toy demos. Our models are trained on NASA turbofan data, SECOM semiconductor lines, Bosch production records, and Scania truck systems. We earn credibility with evidence.
Human-in-the-Loop
AI augments. It does not replace. Operators set thresholds. Managers approve actions. Executives define value. The platform amplifies human judgment.
Our Journey
Built in phases. Each one earned.
Foundation
8-layer architecture designed. Core agents built: RUL, anomaly detection, equipment health. TimescaleDB + Kafka infrastructure established.
Intelligence
28+ ML models trained on real industrial datasets. Cognitive Semantic Layer with 47 capabilities. Knowledge graph and learning engine operational.
Autonomy
16 autonomous prediction loops running 24/7. Multi-agent orchestrator coordinating 35+ agents. ARIA copilot with natural language queries across the entire platform.
Value
Counterfactual ROI analysis. Executive briefings. Compliance frameworks. Prescriptive control with closed-loop recommendations. Enterprise-grade security.
Leadership
Avanish Mehrotra
Founder & CEO
Digitillis was founded with a clear conviction: manufacturing intelligence should be autonomous, transparent, and built on real data. The platform reflects that conviction in every layer, from the OPC-UA connectors at the edge to the counterfactual ROI analysis in the boardroom.
We are building the platform we wish existed when we first walked a factory floor and realized how much operational intelligence was being left on the table.
Join the team
We are looking for engineers who care about manufacturing, think in systems, and want to build AI that does real work in the physical world.
Get in Touch