AI development that's useful in production
Most AI projects die between the demo and production. Ours don't, because we build them like software, not like experiments: evaluation before launch, guardrails against wrong answers, observability and cost control from day one. We develop LLM applications, retrieval (RAG) systems over your own data, AI agents, and workflow automations — integrated into the tools your team already uses.
What you get
- LLM features embedded in your product or workflow: drafting, extraction, classification, summarization.
- RAG and semantic search over your documents — answers grounded in your data, with citations.
- AI agents and automations that take real work off your team's plate.
- Model evaluation and fine-tuning where it pays off — and honest advice where it doesn't.
- Guardrails, monitoring, and cost control, so quality and spend stay predictable.
- Vendor flexibility: OpenAI, open-weights models, or hybrid — you're never locked in.
How we work
- 01
Find the use case
We identify the highest-ROI use case, not the flashiest one.
- 02
Prototype
We prototype on your real data, not on synthetic examples.
- 03
Evaluate and harden
We evaluate, add guardrails, and integrate with your systems.
- 04
Ship and iterate
We ship with monitoring in place and iterate on real usage.
Frequently asked questions
Where does AI actually pay off for a business like ours?
Usually in the unglamorous places: answering repetitive questions, processing documents, searching internal knowledge, drafting first versions. We start by finding the use case with measurable ROI.
Is our data safe?
Yes — we design for it: private deployments or zero-retention API agreements, access controls, and no training on your data. We'll explain the exact setup in plain language.
How much does an AI feature cost to run?
Inference costs are a design constraint we optimize from the start — caching, model routing, and prompt budgets. You get cost projections before launch, not surprises after.
Can you add AI to our existing product?
Yes — most of our AI work is integration into existing systems, not greenfield builds.
Explore an AI use case with us
Bring a workflow that eats your team's time; we'll tell you if AI can fix it.
Start the conversationHave a project in mind?
Tell us what you're building. We reply within one business day — usually with questions that sharpen the idea.
Prefer a call?
Book a 30-min call