We believe every manufacturer — not just the Fortune 500 — deserves access to AI that actually works on the factory floor.
Every year, unplanned equipment failures cost manufacturers an estimated $50 billion in lost productivity. Most of that is preventable with the right data and the right intelligence applied at the right time.
Intuigence AI was founded to close that gap — making industrial AI as accessible and practical as the equipment it monitors.
Moe Tanabian and Priya Nair founded Intuigence AI in a Chicago loft, having met while working on industrial IoT systems at a major automation firm.
Deployed the first SensorBridge prototype on a single stamping press at a Tier 2 auto supplier in the Chicago area. Caught its first anomaly in week two.
Launched the full Intuigence AI platform with all four core modules. First three paying customers signed within 60 days of launch.
Raised a SEED round led by Recursive Ventures to expand the team, deepen integrations, and accelerate deployment capacity.
Active deployments across automotive, electronics, and aerospace manufacturers in the US Midwest and growing into new regions.
We build for the factory floor, not the demo stage. Every feature is validated in real production environments before it ships.
AI recommendations come with explainability. Operators understand why the system flagged something, not just that it did.
Our average time-to-first-value is 11 days. Manufacturers can't wait 18 months for an AI project to bear fruit.
We're a small team building something significant. If you care about manufacturing and AI, we want to talk.