The AI-native medical billing operation
Voice agents that call payers, a denial agent over a 4.7M-row knowledge base, and an RCM core: one operation rebuilt AI-first.
Technical founder
My companies run on AI. Literally.
Not a metaphor. Four businesses whose daily operations are carried out by an autonomous AI fleet I designed and built, running in regulated industries around the clock.
Nabbil Khan · Founder, operator
The operation, measured
Most founders describe their work. This is the telemetry of mine. Every number traces to a command output on one always-on machine.
0
commits across every repository
0
autonomous agents in the fleet
0
hourly snapshots without a gap
0
days of continuous operation
The how
One founder. 16 agents. Zero idle hours.
16 autonomous agents handle communications, monitoring, scheduling, and recovery, with 40 services in production across regulated industries.
Insights
One operator, many industries. What the real work reveals.
Not opinion. Patterns pulled from what actually shipped across healthcare, voice AI, model training, compliance, and more, written from inside the operation.
Four industries, one operator
I hold equity in four businesses and run them with a fleet I built.
Selected work
Systems that do real work, not demos that generate content.
A self-improving training methodology
Agents that diagnose their own failures and promote only statistically defensible wins, overnight, for the cost of electricity.
Frontier models on a 7.7-pound box
Hand-written C and Metal engines that run 397B and 671B open-source models on consumer Apple Silicon. A research paper to match.
Validatable pharma-compliance automation
57 minutes of manual closeout work reduced to 3, built to pass a 21 CFR Part 11 audit, with a local model so data never leaves the building.
The operator
Built by hand. Run by machines. Owned end to end.
Writing
Field notes from inside the operation.
Latest signal · I don’t hire ‘AI people’ first anymore.
Speaking
I do not pitch with slides. I pitch with telemetry.
Talks on production multi-agent systems, AI in regulated industries, and building a company that runs on AI, backed by a real operation you can verify.
Topics + booking →Newsletter
Field notes from building and operating AI in production. No hype.