From prototype to production: retrieval over your own data, open models served inside your AWS account, and GPU platforms on Kubernetes, with cost, privacy and quality under control.
The demo impressed everyone; nobody trusts it with real customers.
Every request calls the biggest model, and the invoice grows faster than the value.
Privacy or compliance rules block public AI APIs.
Without evaluations, every prompt or model change is a gamble.
Assistants and search over your documents, tickets and code, with answers that cite their sources.
Llama, Mistral, Qwen and other open models served with vLLM or KServe inside your own account.
One entry point that routes to the right model, caches answers and enforces budgets per team.
Test sets, regression evaluations, filtering of personal data and defenses against prompt injection.
GPU node pools with autoscaling, scheduling and Spot, so expensive hardware never sits idle.
Pipelines for fine-tuning, a model registry, and monitoring for drift once it is live.
You keep your cloud provider and your accounts. Every line we write lands in your repositories, reviewed and documented, so your team can run it without us. If we part ways tomorrow, nothing stops working.
We pick what fits your team, and we are just as happy keeping what you already run.
Use case, data, risk and cost model per request, with a production architecture.
One use case live, with a gateway, evaluations and guardrails, in your account.
GPU node pools and open models served on EKS, with cost per model.
Least privilege, no long-lived keys, every change through your Git.
A free 30-minute call with a senior engineer. No sales pitch.
Book a free call