GPT and OpenAI models integrated into your product

We start with a fast audit of product context, codebase and business priorities.

Then we run a shared backlog with short iterations and frequent deliveries.

Yes. We audit the current stack, fix critical issues and restore delivery flow.

The objective is to stabilize quickly without freezing your roadmap.

Yes. We act as an extension of your team with transparent technical steering.

Decisions, backlog and rituals are shared end to end.

We plan costs from scoping: volume estimation, model selection (GPT-4o vs mini), response caching, prompt compression, production monitoring.

The goal is a readable bill that grows predictably with usage.

Grounding on your data (RAG), structured outputs to constrain responses, automatic validation, human fallback when confidence is low.

A reliable AI integration combines multiple guardrails, not blind trust in the model.

Each provider has its strengths. OpenAI shines on multimodality and tooling, Anthropic on long-form reasoning and safety, Mistral on European sovereignty.

We decide based on your product, regulatory and budget constraints, and design abstraction layers to limit lock-in.