LLM features & extraction
Summarization, classification, and structured extraction from documents, tickets, email, and other messy inputs.
AI
Automate the parts of the workflow that deserve it.
For products with repetitive review, search, extraction, classification, or internal ops—where AI should remove friction, not add a demo chat box.
What we do
AI inside the product, not pasted on top.
We build features where models assist a workflow: grounded search, extraction into your schema, classification with review, and copilots that know product state.
Retrieval & search
Semantic search and RAG on proprietary data—with fallbacks, citations, and boundaries so answers stay trustworthy.
Human-in-the-loop flows
Review queues, escalation paths, approval steps, and audit trails when automation needs a human checkpoint.
Product integration
Model routing, prompting, caching, streaming UX, cost controls, and the glue to your existing auth, data, and permissions.
How we work
Workflow first, model second.
We start with the step humans repeat today: what they read, what they decide, and what record or action comes next. The model fits that path—or the feature should not ship.
Every integration gets explicit failure behavior: what the user sees when confidence is low, when the API times out, or when the output needs review.
You get a feature your team can operate—observable, cost-bounded, and tied to product state—not a prototype that breaks under the first edge case.
Engagement shapes
Prove value on one workflow before scaling AI everywhere.
01
Audit sprint
Map the highest-friction workflow, data access constraints, and whether AI is the right tool before building.
02
Scoped build
One automation slice—extraction, classification, search, or internal copilot—with review, permissions, and production monitoring.
03
Ongoing support
Iteration on prompts, model choice, evaluation, and new workflow steps as usage and edge cases surface.
Start
Name the workflow, not the model.
Share the repetitive work, the data involved, and what “done” looks like. We will identify the first automation worth shipping.