Five kinds of teams, sorted by AI engineering maturity, not industry.
Technical leaders now control 72% of enterprise AI purchasing power. We organize around that: how mature a team's AI engineering already is and what's actually blocking production, not which industry vertical they sit in.
Where you might fit.
Five profiles, each defined by company size, AI maturity, and what's actually blocking production.
How we qualify fit.
Instead of qualifying by industry, we qualify by engineering signals.
Who's actually in the room.
Technical leadership has become the center of AI purchasing decisions, with engineering evaluation typically preceding commercial approval.
Champion
- Platform Engineer
- AI Engineer
- ML Engineer
Technical Buyer
- Head of Platform Engineering
- VP Engineering
- Head of AI
Economic Buyer
- CTO
- Chief AI Officer
- CIO
Approvers
- Security
- Enterprise Architecture
- Procurement
- Legal
What we engineer, across all five.
The same eight pillars apply to every profile above, scoped differently depending on where a team stands.
Common questions.
Not sure which profile fits? We'll tell you in 30 minutes.
Bring us where your team actually stands, engineering size, AI maturity, what's blocking production, and we'll tell you honestly whether we're a fit before we recommend anything.
No hype · No forced roadmap · Just a clear view of whether we're the right fit