AI

AI features that ship and stay shipped

Most AI work doesn't need a research team. It needs someone who can pick the right model, wire it into your product, and keep it accurate as the data changes. That's the part we focus on.

What we build

The kinds of ai and machine learning projects we ship

Common builds

  • LLM-powered features inside existing products
  • Custom retrieval and search pipelines
  • Classification, ranking, and recommendation systems
  • Document understanding and extraction
  • Voice, transcription, and media processing

Tech stack

  • OpenAI
  • Anthropic Claude
  • Whisper
  • PostgreSQL with pgvector
  • Pinecone
  • LangChain
  • Python
  • .NET
  • Background workers
Outcomes

What you get

Picked for the job

We choose models on cost, latency, and accuracy, not hype.

Production-stable

Caching, retries, and fallbacks so AI doesn't take your app down.

Measured quality

Evals and feedback loops so accuracy improves over time.

Cost-aware

Token budgets and routing layers that keep bills predictable.

Selected work

Projects we've shipped using this

FAQ

Frequently asked questions

Do you train custom models?

Sometimes. Most product use-cases ship faster and cheaper on a tuned hosted model with good prompting and retrieval.

How do you handle privacy?

We pick providers with the right data agreements, and for sensitive workloads we route through models that don't train on your data.

Industries

Where this work fits best

Ready to scope a ai and machine learning build?

Tell us what you're trying to ship and we'll come back with a clear plan, timeline, and cost.

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