Can you reduce our OpenAI API costs?

Often, yes. A cost and latency pass is a common sprint: tighter prompts, the right model per task, and moving work out of the model where a query will do.

Build with

Production the OpenAI API, shipped in 14 days.

We are not religious about model providers. If your stack runs on the OpenAI API, we build there, with the same discipline we bring to any AI feature: a tight boundary and a real eval harness.

Model-agnostic by design

A well-built AI feature does not depend on which provider answers the call. We put the model behind a thin interface so the feature is testable, swappable, and not held hostage to one vendor’s pricing or one model’s quirks.

If you are on the OpenAI API today, we work there. If a sprint would benefit from comparing providers, we will say so and make the swap a config change, not a rewrite.

The discipline is the same

Whatever the provider, the rules hold. The model does a bounded job. There is a confidence gate. There is an eval set, and half of it is designed to make the feature fail so we can prove it refuses cleanly. AI never touches money math or security boundaries.

What an OpenAI API sprint typically covers

A new AI feature built on the OpenAI API with an eval harness.
A refactor to put an existing feature behind a provider-agnostic interface.
A retrieval layer with citations and a hard refusal gate.
A cost and latency pass on an existing OpenAI integration.

FAQ

the OpenAI API questions.

No. We build on the OpenAI API, the Claude API, and others. We design features to be provider-agnostic where it helps.

A the OpenAI API feature to ship?

Send a one-page brief. A fixed price and a ship date back by morning.

Send a brief Or book a 20-minute call