AI products,
not AI theatre.
Most AI demos fail in production because nobody scoped the boring parts: data quality, evaluation, cost and failure modes. We build AI features that survive contact with real users and real bills.
What the work includes
Scope is agreed up front. No mystery line items, no work that exists only to justify a retainer.
Retrieval-augmented search
Vector and hybrid retrieval over your documents, with chunking, ranking and citation so answers can be verified.
Agents & workflow automation
Task-scoped agents with defined tools and permissions, handling work that currently lives in spreadsheets and inboxes.
Model integration
Model routing across providers, prompt architecture, streaming interfaces and cost controls per request.
Evaluation & guardrails
Test sets, regression checks, human review loops and refusal behaviour measured before launch, not after an incident.
AI in the product surface
Copilots, summarization, classification and generation features designed into the existing UX rather than bolted beside it.
AI visibility readiness
Structured, machine-readable content and data so assistants can describe and recommend your product accurately.
Timeline
How the
first 90 days run.
Frame
Pick one workflow with measurable pain. Define success and the failure cost before writing code.
Prototype
A working vertical slice in 2–3 weeks, tested against real data and a real user group.
Harden
Evaluation sets, logging, cost ceilings, fallbacks and permissioning.
Scale
Expand to adjacent workflows, monitor drift and keep the model layer swappable.
Usually yes — the value of an AI feature comes from proprietary context. If your data is scattered, we scope a short normalization phase first.
Whichever passes the evaluation for the task and budget. We keep the model layer abstracted so swapping providers is a configuration change.
Caching, retrieval narrowing, smaller models for simple tasks and hard per-request ceilings, with usage dashboards from day one.
Yes. We often pair with in-house teams — we own the AI architecture and hand over with documentation and tests.
Next step
What are we
building?
Tell us where you want to be found and what you want to sell. You will get a straight answer on scope, sequencing and what we would do in the first 30 days.
Start a project