AI for industrial manufacturing
Manufacturers use AI Router to make LLMs work alongside existing SCADA/MES — not replace them. Operators get an assistant, engineers get fast analysis, leadership gets a shift summary.
Use cases in production
Four places in the manufacturing cycle where AI delivers real effect.
Predictive maintenance
LLM augmentation of sensor signals: anomaly clustering, similar-incident retrieval, maintenance-order draft.
Quality control and defectology
Conveyor photo and video analysis, comparison to reference, defect classification. QMS integration via API.
Operator SOP navigator
Shop-floor assistant: the operator asks in natural language, gets an answer with a SOP reference. Worker-language support.
Incident analysis and shift summaries
Automatic shift-log summary, anomaly surfacing, report draft. The foreman spends 10 minutes on a report instead of an hour.
Integration with the production stack
What we do so AI slots in alongside already-installed systems.
API-first integrations
Our gateway is called from MES, SCADA, QMS over standard HTTP. No agents on industrial controllers.
On-prem deployment
For sensitive sites — self-hosted open-weight models at the plant perimeter. Data never leaves the site.
Worker-language UI
Assistant in the operator's language. Industry terminology support via custom system prompts.
SLA for critical processes
Contractual 99.9% SLA with monetary credits. 30-second failover to a backup route — operations continuity.
Line pilot
Start with one workshop or one line, measure impact, scale to the plant.