Target to define — Cut diagnosis time on recurring failures.
Possible deployment — We connect an agent to your history and procedures to propose hypotheses and checklists — validated by your technicians.
Give technicians faster access to operational knowledge and absorb repetitive exceptions — without bypassing your systems or their expertise.

Procedures, field experience, machine history: critical know-how lives in heads and files.
Without MES/ERP/CMMS wiring and operator adoption, Automation stays a slide.
Teams handle too many exceptions manually; useful signal drowns in noise.
Illustrative scenarios — every deployment is scoped with signed KPIs before production.
Target to define — Cut diagnosis time on recurring failures.
Possible deployment — We connect an agent to your history and procedures to propose hypotheses and checklists — validated by your technicians.
Target to define — Speed handling of documented non-conformities.
Possible deployment — We automate pre-qualification and dossier synthesis, with human review and audit traceability.
Target to define — Turn a vision / LLM POC into daily usage.
Possible deployment — We re-run deployment through SIGNAL: systems integration, guarantees, normalization, line-level outcome tracking.
Yes. We design architectures that respect network segmentation and security policy — Agents do not bypass your stack.
No. We are agnostic: on-prem, sovereign cloud or hybrid by criticality, latency and data policy.
From scoping: business indicators (diagnosis time, rework rate, quality lead times) — not demo metrics.
As needed: embedded missions, dedicated agent pods, skills transfer to plant and IT teams.
In one hour, we frame repetitive work, data constraints and the gains to measure — with a partner, not a salesperson.