AI that does real work inside your product.

Copilots, agents and automations designed around your users and your data. The AI does the heavy lifting; your team stays in control.

What we build

From first prompt to production.

  • Copilots & assistants

    In app assistants that answer, draft and act for your users.

  • AI agents

    Agents that complete multi step tasks across your tools, with human approval where it matters.

  • Chat over your data (RAG)

    Answers grounded in your documents, CRM and knowledge base, with sources.

  • Workflow automation

    Classify, extract and route documents, emails and tickets automatically.

  • AI in existing apps

    Add search, summaries and smart suggestions to the product you already have.

  • Evaluation & guardrails

    Quality tests, cost controls and safety checks before anything reaches users.

The work

AI products we've shipped

Full portfolio →
  • ManthanMarg app home screen in Hindi and EnglishManthanMarg

    ManthanMarg

    Our own Devanagari translation model makes a pooja booking app work in 8 Indian languages.

  • AI campaign engine: a customer uploads a photo and gets a branded campaign post to shareAI campaign engine

    AI campaign engine

    Customer photos turned into on brand campaign posts with AI, for a global life sciences brand.

Your 4 weeks

How an AI build runs

  1. WEEK 01

    Use case & data

    Pick the job worth automating, audit your data, define how we measure quality.

  2. WEEK 02

    Prototype

    Working AI flow on your real data, tested against an evaluation set.

  3. WEEK 03

    Productionise

    UI, integrations, guardrails, monitoring and cost controls.

  4. WEEK 04

    Launch & learn

    Roll out to users, track quality and usage, plan the next release.

OpenAIAnthropicOpen source LLMsLangChainVector databasesPythonNode.js