Solutions·By Industry·AI / ML
AI / ML Companies.
Engineering for teams whose product is the model.
AI companies have research talent to spare and production engineering to hire. We build the serving infra, the data engines, and the product surfaces around your models, so your researchers stay researchers.
12s
Flash inference, end-to-end DICOM
96.4%
Gold-set pass on Koda
How we approach it
Inference platforms (vLLM, Triton), training-data pipelines, eval infrastructure, fine-tuning workflows, usage metering and billing, and the developer-facing docs and SDKs that make an API a product.
Inference platforms (vLLM, Triton), training-data pipelines, eval infrastructure, fine-tuning workflows, usage metering and billing, and the developer-facing docs and SDKs that make an API a product.
- Serving infra measured in cost-per-token, not vibes
- Eval harnesses your research team will actually adopt
- SDKs and docs engineered like product, not afterthought
- GPU FinOps: utilization dashboards before invoices surprise
Proof
We've shipped this before.
FAQ
Before you ask.
Will your engineers keep up with our researchers?
Our AI seniors ship production ML for a living. Several hold publications, all hold pagers. The interface between research and prod is exactly where we sit.
Can you build our public API + SDK?
Yes. API design, rate limiting, metering, Python/TS SDKs, and docs with runnable examples. Developer experience is a product surface.
Tell us the hard part.
A 30-minute call with an engineer, not a salesperson. Honest scoping, real dates.