Generative AI

LLM applications grounded in your own documents, with evaluation and guardrails so answers can be trusted.

Overview

Generative AI lets people ask questions of documents, draft reports and work in their own language. We build assistants on large language models connected to your knowledge through retrieval (RAG), so answers cite their sources. Every system is tested with automated evaluation before release and protected by guardrails in production.

What we build

Document assistants
Ask questions across policies, manuals, records and reports, with answers that cite the exact source.
Summarisation and drafting
Turn long records, reports or case files into structured summaries and first drafts for review.
Multilingual assistants
Assistants that understand and reply in Marathi, Hindi, English and other Indian languages, by text or voice.
Evaluation and guardrails
Test suites with DeepEval and Ragas, hallucination checks, PII protection and content filters.

Generative AI: case studies & projects

Filter all case studies

How we deliver

  1. Discover

    A short workshop to understand the problem, the data and what success looks like.

  2. Prototype

    A working proof of concept on a sample of your data, so you can judge results early.

  3. Build

    The full solution, tested against your data and integrated with your systems.

  4. Deploy and support

    Production deployment on your cloud, with monitoring and continuous improvement.

Questions

Will our data be used to train public models?

No. We use enterprise model endpoints that do not train on your data, or open models hosted in your own cloud.

How do you reduce wrong answers?

Answers are grounded in your documents with citations, measured with automated evaluation, and the assistant says when it does not know.

Can it run inside our network?

Yes. We can deploy open models within your cloud account or on-premises hardware.

Explore generative ai for your organisation

Start with a free discovery call. We will tell you honestly what is possible with your data.