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PRANINNOVATIONSProduction Specialists

Enterprise AI SaaS · VectraGPT

Document-grounded enterprise chat with audit trails

VectraGPT answers questions from a company's own documents. Every answer carries its sources and every exchange is logged. We built the retrieval stack end to end, including multi-tenant serving.

Multi-tenant

isolated serving per customer

Sourced

citations on every answer

GDPR / SOC 2

audit trails and data handling

The challenge

Enterprise buyers will not accept answers they cannot trace, and cannot accept one customer's documents influencing another's answers. Both constraints had to hold at the architecture level, not as features.

What we did

  1. Ingestion and chunking pipeline across the document formats customers actually hold
  2. Retrieval with citation tracking, so every claim resolves to a source passage
  3. Guardrails on what the system will answer and when it declines
  4. Tenant isolation enforced in the data layer rather than the application layer

Outcome

A production platform serving multiple enterprise tenants, with the audit trail and data-handling posture their procurement teams require.

vectragpt.com

Start with a call, then a costed plan

Thirty minutes on the problem, the site and the constraints. If it looks like a fit, the next step is a four-week AI Pilot at a fixed price, with acceptance criteria signed before any code is written.