Cravings is an AI enablement consultancy. We work with founders, CTOs, and operations leaders who are tired of the AI conversation never finishing — and want one accountable team to take them from readiness audit to production system to a confident in-house owner. Increasingly, they don’t want a copilot at all — they want the service itself delivered by agents, and we build that too.
Why we exist
The bottleneck on AI right now is not models. It is everything around them. Most teams can spike a prototype in a week. What stops them is the data nobody has cleaned up, the eval suite nobody has written, the on-call rotation nobody has trained, the buy-in nobody has earned from the people whose work the AI is supposed to change.
That gap is what Cravings exists for. Not the prompt — the production system. Not the demo — the on-call rotation. Not the slide deck — the team that can run the system in twelve months without us.
How we are different
- Readiness before features. Every engagement starts with a two-week diagnostic that produces a written brief and a no-surprises proposal. You keep the brief whether you hire us or not.
- One team, one contract. AI engineers, applied-AI PMs, designers, and the software engineers who build the systems around the AI sit on the same standup. No relay race.
- Senior by default. The person you meet on the sales call is the person on the project. No bait-and-switch staffing.
- Built to hand back. Every artefact lives in your repos, on your accounts, under your team’s names. When we leave, your team owns the system end-to-end.
- Outcomes, not hours. We quote against written briefs. If the brief is wrong, we say so before we start, not after. And where the work is a defined, high-volume process, we will go further — pricing on the result and standing the service up to run against an SLA.
- Service, not just software. The spend on services dwarfs the spend on software, and most of it is already a process someone signs off on. When that is the prize, we build the AI-native service that does the job rather than a tool that assists it — and we can run it until your team takes it over.
What we believe about AI
The interesting work is not at the frontier — it is at the seams. Between a model and your knowledge base. Between an agent and a CRM. Between a prototype and an on-call rotation. Between an executive briefing and a product roadmap your engineering lead can actually deliver on.
Those seams are unglamorous. They are also where every AI project actually succeeds or fails. We have learned to plan for them up front, budget for them honestly, and treat the team operating the system as a first-class deliverable — not an afterthought.
Who is behind this
A small team of senior practitioners — former platform engineers, ML researchers, applied-AI product leads, and growth heads. We have shipped things at scale before and we have also been the founders chasing the agency to ship faster. We are remote-first across EU and APAC hours, and we keep the studio small on purpose. If a project would force us to hire someone we would not also want to work with, we say no.