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QSafe beta is open to banks and public-sector teams.

Generative AI and agents

We build generative AI assistants and autonomous agents that work on your own data and systems. Typical results are knowledge assistants, customer support agents and document automation, deployed with evaluation, guardrails and cost controls from day one.

Grounded in your data

Retrieval-augmented generation connects models to your documents, databases and APIs, with citations so users can verify every answer.

Measured, not guessed

Every assistant ships with an evaluation set, so quality is measured before and after each change. Guardrails block unsafe output and protect personal data.

What we do

Knowledge assistants

Chat over policies, manuals and tickets with source citations.

AI agents

Multi-step agents that call tools and complete tasks.

Document AI

Extraction from invoices, KYC documents and forms.

Indic language AI

Assistants that work in Hindi and other Indian languages.

How we deliver it

  1. Define

    Pick one workflow and agree how success is measured.

  2. Prototype

    Working prototype on real data in three to four weeks.

  3. Evaluate

    Test sets, red-teaming and human review.

  4. Deploy

    Secure rollout with monitoring and cost alerts.

Last updated

Questions people ask

Can generative AI run without sending data outside our network?

Yes. Open models can be deployed inside your own cloud account or data centre, so prompts and documents never leave your environment.

How do you stop AI assistants from making things up?

We ground answers in retrieved documents, require citations, and measure accuracy against a test set before every release.

Talk to us about generative ai and agents

A senior engineer will reply within one working day.

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