AI that does specific work for your business, not generic chat.

AI integration has become a category full of demos and short of production work. The pattern: a vendor shows a chat interface, the team gets excited, six months later nothing has shipped because the integration was never specified at the workflow level. We work the other way. We start with the specific operational job you want AI to do, design the integration around that job, and ship something measurable inside ninety days.

We build with Anthropic Claude API as our primary model, OpenAI when the use case fits, and custom RAG layers for retrieval over your data. We ship AI agents for project management (PM Agent), customer support workflows, content generation pipelines, document parsing, voice-first interfaces (Registrar), and bespoke automation systems. The AI is invisible inside the product. The user just gets faster, cleaner, more accurate output.

We also integrate AI into existing products that already have users. The harder problem is not the model call. It is the surrounding software architecture: caching, fallback paths, observability, prompt versioning, evaluation harnesses. That is the part we know how to build.