Growth on your P&Lnot in a PDF
teiō is an AI transformation partner built for mid-market enterprises ready to operate leaner, move faster, and compete above their weight
You know AI matters.
You just need someone to build it.
The situation
You're a growing company with real budget for AI — but no internal team to make it happen. You know the opportunity is now.
The struggle
Big consultancies sell you hours and slide decks. Software vendors sell you tools you can't implement. Neither delivers the actual outcome.
What you actually need
A team that builds working AI systems on your data — in production, delivering measurable results, in weeks not months.
The full stack of AI transformation
Every layer builds on the one below it. We start at the foundation and work up — delivering outcomes at every stage.
Everything builds up
We start with your data foundations — the base of the pyramid. Then we layer on hackathons to bridge business and data, AI workflows to automate, and AI applications at the top. Each layer compounds value from the one below.
Pricing based on output
AI transformations don't fit legacy pricing models. We built a third way.
- ✕Pays for access, not results
- ✕One-size-fits-all — no customization to your data or workflows
- ✕You still need services to implement and configure
- ✕Pays for hours, not outcomes — incentivizes slowness
- ✕Scope creep and budget overruns are the norm
- ✕Knowledge walks out the door when the engagement ends
AI accelerators and reusable components mean we deliver in weeks, not months — like deploying software, not running a consulting engagement.
Every deliverable is a discrete, measurable unit of business value — scoped, fixed-price, and independently verifiable. You pay for outcomes.
The faster we deliver, the more efficient we are. You get outcomes quicker, we earn through velocity. No one benefits from dragging things out.
Agentic data engineering.
12 months → 8 weeks.
Built by the team behind 5X — the #1 data platform on G2, used by Nissan, Novo, and Monica Vinader. Five AI agents work in concert to automate what used to require large consulting teams.
Learn more→AI accelerators at work
Every AI initiative starts with the same bottleneck: the data isn't ready. Our AI accelerators deploy five specialized agents that automate the entire data engineering lifecycle — from infrastructure assessment to production-ready data.
Each agent builds on the work of the one before it. Infrastructure informs ingestion. Ingestion feeds quality checks. Quality shapes modeling. And the recommendation agent continuously improves the entire stack.
Where does your
organisation stand?
Take our AI Readiness Assessment and see how you score across 6 key dimensions — plus a clear roadmap of what to prioritise first.