The board wants an AI plan and nobody has one.
Vendors are calling. The team has twenty ideas. We rank them by value and difficulty and come back with the three worth funding.
AI R&D for companies that need it to work.
We find the problems worth solving with AI, prove them on your data, and build the systems. Our engineers work inside your team until it runs without us.
Who we are
Most companies don't need another AI vendor. They need a research and engineering team pointed at their own problems.
NexGen AI Ops is that team. We staff every program with senior people and leave the capability inside the company.
40+R&D programs across six industries
6 weeksFrom kickoff to a prototype on your data
100%Of the code, models, and documentation stays with you
What we do
Five services. Start anywhere.
Most clients begin with a study and go from there.
-
01
Feasibility studies
Where AI could change a process, what data you have, and what it would take. A written answer in weeks, including when the answer is no.
Study -
02
Research and prototypes
We test the candidate approaches on your data and show you a prototype that works on real inputs.
Study -
03
LLM and agent systems
Document processing, knowledge assistants, agents with tool access. Built with evaluation suites and guardrails.
Build -
04
Machine learning models
Forecasting, risk scoring, anomaly detection, optimization. Trained on your data, documented for your team.
Build -
05
Production and handover
Pipelines, deployment, monitoring. Your engineers pair with ours and take it over.
Build
When companies call us
Four situations we see most.
If one of these is you, we should talk.
The pilot worked in the demo and died on real data.
Accuracy dropped, cost went up, or nobody owned it. We find the cause and fix it, or tell you to stop.
A core process runs on expert judgment.
Underwriting, document review, inspection, scheduling. We study how your experts decide and build systems that take the routine share.
You want the capability in-house.
Our engineers work beside yours from week one. When we leave, your team runs the system.
How we work
Four phases. Each ends with something you can test.
The same sequence on every program.
Phase 1
Frame
Agree the problem, the metric, the data, and the constraints.
Output: problem briefPhase 2
Investigate
Run experiments on real data. Report what worked and what didn't.
Output: findings and prototypePhase 3
Build
Turn the winning approach into a tested, documented system.
Output: production systemPhase 4
Transfer
Deploy, monitor, train your team. Then step back.
Output: your team runs it
About the firm
Built by people who have shipped AI.
Our founders spent years building machine learning systems inside large companies. Most of the AI initiatives they saw stalled somewhere between the pilot and production.
We started NexGen AI Ops to close that gap. Senior people do the work on every program.
"A model is not a system. A demo is not a result."Founding principle, NexGen AI Ops
Contact
Tell us about the problem.
A few lines on what you're trying to do, the data you have, and where you are in the decision. We reply within two business days.
- Phone
- +1 833-553-2700
- Office
- 44330 Mercure Circle, Suite 314
Sterling, VA 20166