We set up private AI infrastructure that keeps your data in-house, train expert models for your domain, and curate the data that frontier models learn from.
From the server rack to the training set, we handle the parts of AI that need careful engineering.
We help companies run capable AI models on their own hardware, so sensitive data never has to leave the building.
We train domain-specific models that beat general-purpose AI at one job, like our vision models for object identification and target tracking.
We curate, annotate and quality-check training data, and work with world-leading LLM providers to make their models better.
Our agentic coding assistant plans, writes and edits code with you, built by our sister concern AI-Doer.
Most companies don't need to throw away their systems. We connect AI to the databases, documents and tools you already have, running on your own servers.

Old software and databases that only a few people know how to search.

Documents typed in, filed and looked up by hand.

Ask questions in plain language, extract data from documents automatically, and keep everything in-house.
We've built two expert vision models in-house. They show what a narrowly trained model can do that a general one can't.
Illustrative detection overlay on drone footage
We look at your data, your constraints and the outcome you need, and tell you plainly whether AI is the right tool.
We choose the hardware, the models and the security boundaries, and write it all down before anything gets built.
We deploy infrastructure, fine-tune or train models, and test them against your real cases.
You get documentation and training for your team, plus ongoing support if you want it.
AI-Doer is our agentic coding assistant. It plans, writes and edits code with you, from the web editor, the CLI or the VS Code extension. It speaks Bengali and English.
Visit ai-doer.com ↗Tell us what you're working with. We'll give you an honest view of what's possible and what it takes.