Engineering knowledge assistant
Specifications, design reviews, test evidence and maintenance history, answered with source and revision cited.
Sector · Industry
Intelligence that survives the production floor.
Observability, deterministic control and recovery in environments where a system going quiet costs money by the minute.
Industrial estates are decades of systems layered on each other: MES, ERP, SCADA, quality, maintenance. Knowledge of how they interact sits with a few experienced engineers.
AI in this setting must be deterministic where it matters, explainable where it acts, and useless to an attacker who gets in.
What we deliver
What we deliver in industry.
Plant and supply exception handling
Exceptions across production and suppliers surfaced with context, actions proposed for professional review.
Legacy application AI-ization
A controlled service layer above existing applications, then bounded extraction and replacement with equivalence evidence.
Quality and field service
Case comparison and proposed actions, with humans approving.
Operational evidence
Traceable records of what was checked, by whom, and what the system did.
Deterministic control boundaries
AI recommends and monitors; control stays in tested, deterministic code.
Platform and governance
Built on KoLo. Governed from the first day.
Platform
Industrial systems run KoLo on institution-controlled infrastructure with local models first. External routes are governed exceptions, logged and reviewable.
Governance
Vehicle control, plant control and safety systems stay outside the AI boundary until a separate assurance track exists. That is a design rule, not a disclaimer.
Start with one workflow.Prove it, then scale it.
Every engagement begins with a bounded workflow, a named owner and acceptance criteria agreed before work starts.