What we do · AI agents

AI agents that do real work, with people in charge.

We build AI agents, automation and LLM applications for clients outside India: agents that answer customers, read documents and run back-office steps.

Each agent we build for you is tested before release, hands over to a person when it should, and belongs to you.

How we work

Map, build, deploy, operate.

  1. Map

    We find one job worth handing to an agent, write down what a good answer looks like, and collect real examples to test against.

    You receive

    • A written scope and a quote
    • A test set built from your own cases
  2. Build

    We build the agent against that test set and show you its answers, right and wrong, as we go.

    You receive

    • Regular demos with test results
    • Access to the code and prompts
  3. Deploy

    It meets a small share of real work first, with a person reviewing, and widens only as the results hold.

    You receive

    • A staged rollout
    • A hand-over path to your team
  4. Operate

    We watch its answers, re-run the tests whenever the model or your data changes, and report every month.

    You receive

    • A monthly quality report
    • Tests re-run on every change

An example

It checks the facts, and waits for a person.

How an agent we'd build for you handles a routine case: it looks things up itself, and anything that moves money waits for a person to approve.

A double charge, checked and handed over (an illustration, not a real conversation)Illustration
  1. Customer: I was charged twice for my subscription this month.

  2. Tool call: find_payments customer C-1042 · two charges of AED 29 on 3 March · same plan

  3. Agent: I can see two charges of AED 29 on 3 March for the same plan, so one of them is a duplicate. I've asked a colleague to approve a refund of AED 29.

  4. Tool call: request_approval refund AED 29 to C-1042 · waiting for a person

  5. Customer: Thanks. Will I hear back?

  6. Agent: Yes. Once the refund is approved you'll get an email, and the money goes back to the card you paid with.

Where it runs

Our cloud, yours, or your premises.

Our cloud

We host it and run it for you.

Your cloud

Deployed into your own cloud account, under your access controls.

Your premises

Run inside your own network, where your data has to stay.

Evaluation and safety

Tested before it ships. Watched after.

Tested on your cases

Each agent runs against a test set of real cases before release, and again after every change to the model, the prompts or your data.

People stay in the loop

Agents hand over to a person, with the conversation attached, when they are unsure. Refunds, cancellations and anything that can't be undone wait for a person to approve.

Everything is logged

Each step an agent takes is recorded, so you can see what it did and why.

The team

Who you work with.

You work directly with Naveen Davuluri, Founder, and the engineers who build and run our own products, BuddyCinemas and DrBell.

Ownership

You own the result.

The code, the prompts and the evaluations are yours. If you later bring the work in-house or move to another team, everything we built moves with you.

Scope

What we take on, and what we don't.

We take on

Jobs with a clear right answer, such as customer support, document handling and back-office steps, where a test set can tell a good answer from a bad one.

We don't take on

Agents that make medical, legal or credit decisions without a person reviewing them, or foundation models trained from scratch. We build on established models.

Which job would you hand to an agent?

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