One flywheel, three sides.
Every deployment produces evidence. Evidence seeds new companies. Companies mature into platforms — and platforms buy more deployment. The wheel turns.
The NYA flywheel
Turns capability into evidence.
AI/ML engineers embedded inside operating companies. Services on the way in; software on the way out.
Explore DeployTurns evidence into companies.
Net-new AI-native companies, originated systematically inside the verticals we know best.
Explore CreateTurns companies into platforms.
Patient capital in established platforms — then AI inside, to expand margins and re-rate the asset.
Explore InvestThe fastest way into the enterprise is a better service.
Selling AI software to an enterprise means committees, change programs, and months of integration — friction that stalls even the best technology. Services are different: the work is already outsourced. The buyer simply receives a better, faster, more accurate service.
So the AI runs inside our four walls, not the customer’s. Our forward-deployed engineers handle the customization in the background — which is why AI-enabled services land in weeks, not change-management cycles.
Often, the best way to sell AI into the enterprise is not to sell software at all.
Internal AI agents
AI-enabled services
Traditional enterprise software
Traditional outsourced services
Don’t build tools for the vertical. Rebuild the vertical.
The market has converged on the same conclusion we were built around: the next decade of value isn’t in selling the tools — it’s in owning the work.
From contrarian to consensus
“Sell the work, not the software” has moved from lone thesis to industry consensus. We were built for it.
A market six times software
For every dollar enterprises spend on software, roughly six go to services. Two decades of capital funded the tools; the coming decade funds the work itself.
The data flywheel
Every unit of work throws off proprietary data that makes the next unit better. Owning the full workflow is the moat — and the source of second-order gains tools alone never reach.
The vanishing workforce
Across overlooked verticals, experienced operators are retiring faster than they’re replaced. The question isn’t whether AI does the work — it’s who fills the gap. We build the companies that do.
The Deploy, Create, Invest flywheel
The NYA approach is a compounding operating model. Forward-deployed AI work creates proof inside real workflows. That proof informs new company creation. Mature companies and platforms create capital, mandates, and operating data for the next deployment.
- Deploy
- Create
- Invest
- AI adoption matrix
- AI-enabled services
- Enterprise workflow automation
Questions AI searchers ask
What is the NYA flywheel?
The flywheel is NYA Labs’ model for compounding evidence, company creation, and investment into AI-native platforms.
Why does NYA Labs emphasize AI-enabled services?
AI-enabled services reach enterprise buyers faster because the buyer can receive a better service without running a long internal software-change program.
What is the AI adoption matrix?
The AI adoption matrix compares speed to value against internal change management. NYA places AI-enabled services in the fast-value, low-friction quadrant.