Generative AI grounded in your data, governed by your rules.
Assistants, copilots, and content systems built on retrieval from your own knowledge — private, evaluated, and integrated where your teams already work.
Why this matters now
Public chatbots leak data and hallucinate policy. Ungoverned internal experiments create shadow IT. The gap between 'employees use ChatGPT' and 'the enterprise runs on generative AI' is architecture, evaluation, and governance.
Service pillars
Retrieval-grounded systems
RAG pipelines over your documents, tickets, and telemetry with citation and freshness guarantees.
Private by default
Deployment in your cloud tenant or on-prem; no training on your data; full audit logging.
Evaluation discipline
Golden datasets, regression evals, and hallucination monitoring before and after launch.
What changes for your operation
- Institutional knowledge, on demand — Twenty years of manuals and tickets become an assistant that answers in seconds.
- Consistent output quality — Evaluated pipelines, not vibes.
- Adoption where work happens — Delivered inside Teams, Slack, and your line-of-business apps.
Stack we deploy with
- Azure OpenAI / AWS Bedrock
- Claude & open-weight models
- LangChain/LlamaIndex
- pgvector / Pinecone
- Guardrails & eval frameworks
Where this service earns its keep
- Maintenance-manual assistants for field teams
- Customer-support copilots
- Proposal and report drafting
- Multilingual knowledge bases
Where we deploy it
Questions we hear most
No. We deploy in your tenant with contractual and technical guarantees against training reuse, and can run open-weight models fully on-prem where required.
Ready to put generative ai to work?
Book a demo, or start with the AI Readiness Assessment — a 30-minute working session that maps your highest-value first deployment.
- AI that sees, predicts, and acts — not just a dashboard.
- Pilot to fleet rollout in weeks, with a go/no-go you can defend.
- Enterprise-grade security, procurement, and support from day one.
Schedule a demo
See Invexal on your own cameras and data.