We build applied AI — chatbots, internal automation, and AI features embedded in your product — aimed at one specific workflow at a time, not AI added for its own sake.
Most businesses don't need a custom-trained model — they need a well-scoped feature that saves someone real time: a support assistant that actually knows your product, a tool that pulls structured data out of messy documents, a search that understands intent instead of exact keywords.
We start from the workflow, not the technology. That usually means configuring and integrating existing AI models around your data and systems — which is faster, cheaper, and more reliable for almost every business use case than building a model from scratch.
AI chatbots and assistants trained on your own product and support content
Workflow automation — ticket routing, document summarizing, data extraction from forms
AI features embedded into existing products — smarter search, recommendations, drafting
Integration with the tools you already use — CRM, helpdesk, internal databases
Guidance on off-the-shelf API vs. custom model — matched to cost, latency, and accuracy needs
Monitoring and a defined fallback path for anything outside the system's confidence range
We identify the specific, repeated task worth automating — not "add AI," but the exact workflow it should replace or speed up.
We configure and integrate the right model for the job, with your data and systems connected securely.
We test against real edge cases, not just the happy path, and confirm the fallback behavior works when the AI isn't confident.
We monitor performance after launch and tune it as real usage reveals gaps the initial testing didn't catch.
Almost never. Most business problems are solved faster and cheaper by configuring an existing AI model around your specific data than by training one from scratch.
We set up integrations so your data stays yours, and we walk through the specific privacy terms of whichever AI provider is used before anything goes live — no surprises after the fact.
Every AI feature we build includes a fallback — a human review step or a clear "I'm not sure" response — for anything outside its confidence range, instead of guessing silently.
A well-scoped assistant or automation typically takes a few weeks from discovery to launch. Scope creep, not the AI itself, is usually what extends a timeline — so we lock scope early.
Tell us what you're building — we'll get back to you.