Your own private ChatGPT
A secure, company-private assistant that answers from your data — with access control and audit logging, and your data never used to train anyone else's model.
What this means for your business
Your team already wants a ChatGPT for work — but pasting confidential data into a public tool is a real risk. A private GPT gives them the same conversational power, grounded in your company knowledge, inside a boundary you control.
We build it as a RAG system: the assistant answers from your documents and systems with citations, respects who is allowed to see what, and logs every interaction. Your data stays yours — it is not used to train external models, and we can deploy in your own cloud where required.
This is the same production discipline behind our own customer-facing AI products — grounding, access control, observability and cost control — applied to an internal assistant your whole company can rely on without leaking secrets.
What we build
Company-grounded chat
A conversational assistant that answers from your documents and systems with citations.
Data stays private
Your data is not used to train external models; deploy in your own cloud where needed.
Access control
Per-user and per-document permissions so the assistant respects who can see what.
Audit logging
Every conversation and source is logged for security and compliance review.
Multi-source knowledge
Connects to wikis, drives, ticketing and SaaS tools as a single answer surface.
Cost control
Model routing and caching so an org-wide assistant stays affordable at scale.
Implementation details
| Capability Parameter | System Specification |
|---|---|
| Privacy | Your data not used for external model training; in-VPC deployment available |
| Grounding | RAG over your sources with citations and abstention |
| Access control | SSO, per-user and per-document permissions enforced in retrieval |
| Sources | Wikis, drives, ticketing, CRM and SaaS connectors |
| Security | Audit logging, encryption in transit and at rest, SOC2-conscious design |
| Typical budget | ₹25L–₹50L / $25k–$60k depending on sources and hosting |