Services
Pick a single capability or bring us the entire roadmap. Either way you work with senior people who have shipped AI to real customers.
From a validated idea to a launched, multi-tenant SaaS: product strategy, architecture, billing, onboarding and the AI features that make it worth paying for.
Agents that do real work — qualify leads, process documents, answer calls, update your CRM — with guardrails, human hand-off and an audit trail.
Bring your own knowledge to an LLM safely: retrieval pipelines, evaluation suites and cost controls, on OpenAI, Anthropic or open-weight models.
Infrastructure that scales with your customers, not your headcount: containerised deploys, CI/CD, observability and a cloud bill you understand.
Clean, connected data is what makes AI useful. We build the pipelines, warehouses and dashboards that turn raw events into decisions.
Interfaces that make AI feel trustworthy: research, flows, design systems and the small details — streaming, citations, undo — users notice.
Engagement models
Every engagement begins with a fixed-price discovery, so you know the plan and the budget before committing to a build.
2–4 weeks
Validate an AI idea fast: a working prototype on your data plus a build plan and cost estimate.
3–6 months
A cross-functional team — PM, design, engineering, ML — that takes your SaaS from zero to launch.
Ongoing
Engineers embedded with your team, scaling up or down as your roadmap needs.
Process
A one-week sprint to pin down the problem, the users, the data you have and what success looks like in numbers.
A working AI prototype on your real data within two weeks, so decisions are made on evidence, not slideware.
Two-week iterations with a demo at the end of each. You see progress, test it and steer — no big reveal at the end.
Launch, measure, harden. We monitor quality and cost in production and keep improving, or hand over cleanly to your team.
Tell us where you are — a napkin idea, a stalled prototype or a platform that needs to scale. We reply within one business day.