AI Integrations
Making your product smarter without rebuilding it.
We integrate AI capabilities into existing products and build AI-native features from scratch. From LLM-powered features to intelligent automation - we design integrations that are actually useful, not just impressive demos.
AI that ships to production
We've built AI-powered search, automated content pipelines, document intelligence systems, recommendation engines, and conversational interfaces. We know the gap between an impressive prototype and something that works reliably in production - and how to bridge it.
"AI should feel like a natural extension of your product, not a bolt-on."
The best AI integrations are invisible to the user. They don't see 'AI' - they see a product that understands them better, surfaces the right thing at the right time, or saves them ten minutes they didn't know they were wasting. We build for that experience, not the press release.
Use-case first
We start with the problem, not the technology. What decision does the user need to make? What task are they completing? The answer determines whether you need RAG, fine-tuning, embeddings, or something simpler.
Build and evaluate
AI features need evaluation frameworks, not just unit tests. We define quality metrics before we build, run prompt experiments and model comparisons, and set acceptance criteria that reflect real-world performance.
Deploy reliably
Production AI requires guardrails, fallbacks, monitoring, and cost management. We wire all of this up before launch - not as an afterthought when something breaks at 2am.