Have AI integration built for your product or workflow

Embedding AI is more than just pasting an API key into your code. It’s about choosing the right models for the right tasks, making your data available to the model, and ensuring the integration works reliably at scale — even when the external API slows down.

We build AI integrations that really solve something: text generation that knows your tone of voice, classification that understands your category structure, semantic search over your own content. Not a generic wrapper, but an integration built around your use case.

AI that knows your data — not a generic wrapper

Most AI integrations are a thin wrapper around the OpenAI API. You send a query, you get a response. That’s useful, but it’s not what most companies need. What you need is AI that understands your context: your products, your customers, your internal data.

We build AI integrations where the model has access to the relevant context — via RAG pipelines, semantic search with pgvector, or direct database connections. The result: AI that provides answers specific to your situation, not generic answers that work for everyone else.

What we integrate

Text generation and summarization based on your content and data. Classification and tagging of incoming data — automated, without manual labels. Semantic search via pgvector: searching by meaning, not exact keywords. Image analysis and description. Translation preserving tone and context. And multi-step AI workflows via BullMQ — chains of AI steps that drive each other.