Tell us what you are trying to ship.

The more specific you are, the more useful the reply. What is the problem, what is the constraint you keep hitting, and what would success actually look like?

    We will only use these details to reply to you. No newsletter, no list, no third parties.

    Office

    AI Tech Partner Labs
    801 Centrum Heights
    Nr. Akhabar Nagar Circle, Nava Vadaj
    Ahmedabad 380013, Gujarat, India

    Open in Maps

    Hours

    Monday to Friday, 10:00???19:00 IST
    Enquiries answered within one business day

    Elsewhere

    LinkedIn · X · aitechpartner.com/

    01 —Routes in

    Three kinds of conversation

    They start the same way, but it helps to know which one you are having.

    Start a project

    You have a system to build, or a proof of concept that needs to become something your business can depend on.

    How we deliver

    Collaborate on research

    An unresolved problem, an academic group looking for a production partner, or a dataset that deserves a proper study.

    Active programmes

    Train a team

    The Academy curriculum comes out of our own research programmes rather than public tutorials.

    About the Academy

    02 —Before you write

    Questions we get asked first

    How quickly will I hear back?

    Within one business day, from someone who can actually discuss the technical problem.

    What is the smallest engagement you take?

    An architecture review or a scoped proof of concept. If a short advisory conversation is all you need, we would rather do that than sell you a project you do not need yet.

    Do you work with teams outside India?

    Yes. We are based in Ahmedabad and work remotely with clients in other time zones, with overlap hours agreed up front.

    Who owns the code and the models?

    You do, along with the evaluation harness and the runbooks.

    Can you sign an NDA before we get into detail?

    Yes. Send a short note about the shape of the problem, and we will get paperwork in place before the real conversation.

    We already have a model that mostly works. Is that interesting?

    Very. "Mostly works" usually means an evaluation problem rather than a modelling problem.