General-purpose AI knows everything about everything and nothing about your shop.

The problem

ChatGPT can write poetry. It cannot tell you the optimal feed rate for 7075 aluminum on your specific machine. General-purpose AI models are trained on internet text. They have no sensor data, no telemetry, no material characterization.

Industrial AI from Siemens or Fanuc is locked to their ecosystem, priced for Fortune 500, and designed to sell more of their own products. A small shop with a mixed fleet has no AI option at all.

The data problem is circular: you need data to train useful AI, but you need useful AI to justify collecting it. Small shops don’t have the volume, and nobody shares learning without extracting data to a cloud.

The answer: RigidAI

RigidAI is a proprietary industrial intelligence platform trained on ecosystem data — sensor telemetry, machine performance, material behavior, production outcomes. Not internet text. Real data from real machines.

Runs locally on dedicated edge compute. No cloud inference. No foreign model dependencies. No PRC-origin code. NDAA-compliant by architecture, not policy.

The network effect is the moat: every machine that joins makes the AI smarter for every other machine. A new shop on day one benefits from every cut the network has ever contributed.

Ecosystem connection: RigidSense generates training data. RigidVault stores it with consent. RigidPulse consumes recommendations. RigidForge uses intelligence for toolpaths. RigidFlow uses it for matching. RigidTrust governs what the AI can do.

See RigidAI details → Talk to us All problems we solve

The problem

The answer: RigidAI

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