About
The team behind your custom model
Our story
Why we started
Atrodious started with a pattern we kept seeing: teams would get an impressive demo out of a frontier API, then stall. Costs rose with every user, latency ruled out real-time use, and the model never quite learned the company's formats or vocabulary.
What fixed it was a model trained on the company's own data and judged against the company's own definition of correct. We built Atrodious to do that work end to end.
Mission and vision
Mission
Make custom language models practical for companies that aren't AI labs.
Vision
Specialised models, trained on proprietary data, doing the everyday work that general-purpose models can't.
Principles
How we make decisions
Measure before you train
No GPU time is booked until there's a baseline and a target. Opinions don't ship models; scorecards do.
Smallest model that clears the bar
Bigger isn't better if a 3B model meets the target. Smaller models are cheaper, faster, and easier to host.
One task at a time
Narrow, well-defined tasks are where custom models win. We'd rather nail one than half-solve five.
Engineers do the work
The people on your kickoff call are the people writing the training code. There's no account-manager layer.
Why Atrodious
What sets us apart
Platforms sell their own infrastructure; generalist consultancies rarely train models. We sit in between.
Method-neutral advice
We don't sell a platform, so we recommend retrieval or prompting when that's enough, and training only when it isn't.
Any model, any cloud
Open-weight or hosted base models, trained and served on AWS, Google Cloud, Azure, GPU clouds, or your own hardware.
You own what we build
Weights, data pipelines, and evaluation suites are handed over in full, with no licence fees.
Flexible commercial terms
Fixed-scope stages you can stop after, plus EMI financing for larger builds.
Who we work with
Mid-size companies and enterprises with valuable data
Our best fit is a team with one high-value, high-volume task and data that general models have never seen.
Working with us
Where and how we work
Remote-first
Based in India (IST), with working hours that overlap Europe, the Middle East, and Asia-Pacific.
On site when it matters
Engineers travel to you for workshops and for deployments that can't be done remotely.
Want to join us? We're always looking for ML, data, and MLOps engineers.
CareersWork with us
We take on a small number of model engagements at a time, so each one gets senior attention.
We reply within one business day (IST).