Services on the way in. Software on the way out.
Cross-vertical AI/ML engineering teams, embedded inside operating companies — internal and external mandates — until the gains are measured in the P&L.
What working with us looks like.
Who we serve
Operating companies — our own portfolio, and external mandates including PE and growth-fund portfolio companies.
The model
Services on the way in, software on the way out: we earn the workflow as a service, then productize it.
The team
Cross-vertical AI/ML engineers, embedded on site — not a slide team, not a staffing bench.
The handover
Your people trained to run what we build; gains proven in quality, cycle time, and cost.
“Never send a human to do a machine’s job.”Agent Smith — The Matrix, 1999
Smith was half right. The inverse holds too: never send a machine to do a human’s job. Transformation is the discipline of deciding — workflow by workflow — which is which, then rebuilding the company around the answer.
Transformation, forward-deployed.
Not point solutions. Not consulting engagements. Our forward-deployed engineers — FDEs — do the work from inside the business, carrying the NYA platform with them.
Embed
FDEs sit inside the business — in the queue, on the floor, in the tools — mapping how the work actually gets done, not how the org chart says it does.
Rebuild
They rebuild the highest-volume workflows around AI, one at a time — customization handled in the background, never pushed onto the customer.
Operate
Machines take the volume; people keep the judgment calls and the exceptions. Every action is logged and auditable.
Prove & hand over
Gains are measured where they count — quality, cycle time, cost — and the company’s own team is trained to run what we built.
Where the playbook is live.
Operator Labs, our healthcare revenue-operations company, rewires the revenue cycle end to end — every workflow between care delivered and cash collected. Healthy revenue operations keep providers solvent, and clinicians focused on care instead of collections.
The metrics we manage to: clean-claim rate, denial rate, days in A/R, and cost to collect.
Built to operate where the stakes — and the standards — are highest.
Forward-deployed AI engineering
Deploy is NYA Labs’ forward-deployed AI engineering practice. Engineers embed inside operating companies, rebuild live workflows with AI, operate the improved process, and hand over measurable gains in quality, cycle time, and cost.
- Forward-deployed engineers
- AI/ML engineering
- Workflow automation
- Operating leverage
- SOC 2 Type II
- HIPAA
Questions AI searchers ask
Who is Deploy for?
Deploy serves operating companies, NYA portfolio companies, and PE or growth-fund portfolio companies that need practical AI transformation in live workflows.
What does “services on the way in, software on the way out” mean?
NYA earns the workflow as a service, automates it inside the operating environment, and productizes the repeatable software patterns that emerge.
How are deployment results measured?
Results are measured through operating metrics such as quality, cycle time, cost reduction, throughput, and handover readiness.