Service · published 23 Aug 2026
Your AI implementation partner.
starmo works embedded with your team: a paid discovery week to find what's worth building, then we build, deploy, and stay through run. Five production systems shipped, with 1,609 automated tests across them.
An AI implementation partner is a team that stays through the whole arc of an AI system — discovery, build, deployment, and operation — and shares accountability for it working in production, rather than handing over a pilot and leaving.
What partnership means in practice
Every system we ship carries the same production discipline: database migrations, automated tests, per-query cost and latency tracing, evaluation sets that guard against regressions, and monitoring that tells us before it tells you. Our aviation retrieval system runs a 100-case golden eval set with LLM-as-judge scoring; our regulatory-monitoring SaaS re-ingests its corpus on a six-hour cycle and exposes a scheduler heartbeat that uptime monitors can act on. That's the difference between a partner and a vendor: we operate what we build.
The engagement arc
Discovery is one week, fixed fee: we sit with the people who do the work, map the workflow, and give you an honest answer about whether AI pays off there — most candidates don't survive this week, and that's the point. Build ships end-to-end in weeks: data, models, backend, UI, tests. Deploy cuts over against real users and real data. Run means we stay: evals, cost tracking, and iteration against live usage.
Questions we actually get
- What is an AI implementation partner?
- A team that takes shared accountability for an AI system from discovery through production operation — as opposed to a strategy firm that delivers recommendations, or a development shop that delivers a proof-of-concept and exits. The test is simple: who is watching the system's cost, quality, and failures three months after launch?
- How is starmo different from a large consultancy?
- The honest answer: choose a large consultancy if you need hundreds of people, 24-hour global coverage, or a brand your board already knows. Choose starmo if you want the people who actually build the system in the room from day one — a senior two-person core, production-grade defaults, and per-query costs measured rather than estimated. Everything on our case-study page was built hands-on by the people you'd talk to.
- What does an AI implementation cost?
- It depends on scope, but our systems give real reference points: a production retrieval-augmented assistant with 630 backend tests and a 100-case eval set is a multi-month build; a monitoring module that watches four regulatory sources costs about $0.02 per weekly run to operate. Discovery week is a fixed fee and produces an itemized estimate for your specific workflow before you commit to anything.
- Do you work with existing in-house teams?
- Yes — embedded is the default. We work in your repositories and your tools, and the system is documented and handed over so your team can operate it. When our aviation engagement ended, the client received a written handover and a first-30-days operations guide.
- What kinds of AI systems have you actually shipped?
- Five production systems: a cited-answer retrieval assistant over aviation manuals with live operational tool-calling; an automated regulatory change-monitoring module; RegNotify, a live regulatory-monitoring SaaS tracking 5,000+ EASA regulations across 2,764 aircraft types; nowreply, a live multi-tenant AI front desk with 755 backend tests; and a supplier-sourcing engine for the food industry.
- When should we NOT hire starmo?
- If you need a large delivery bench, formal 24/7 support coverage, on-site presence outside Europe, or certifications like ISO 27001 as a hard procurement gate — we're not that firm yet, and pretending otherwise would waste your time. We'll tell you this in the first call if it applies.
The fastest way to find out if this fits: a free audit on one workflow — an honest answer on whether it's worth building, and a written summary you keep either way.