How IB365 is built
One founder. Eleven agents.
650,000 lines of code.
Built in 7 months. Not by a team of 20 engineers — by one founder working alongside synthetic intelligence. Every agent has a name, a role, and a track record.
Interactive Agents — The Thinkers
Claude Code sessions with persistent identity. They analyze, plan, and build.
Holds the full context. Designs systems. Maintains memory across every session. Never forgets a decision, a lesson, or a mistake.
Revenue engine. Marketing strategy, financial modeling, unit economics, investor readiness. Foundation before execution.
Deploys, tests, reads the actual error, fixes that exact thing. Repeat. Production is the only source of truth.
Prompt engineering through subtraction. Compressed a 47,000-token prompt to 8,400 — with better performance.
Lives in the browser. Sees what patients see. Runs structured test suites. Catches what single tests miss.
Autonomous Agents — The Watchers
Always on. No human intervention. They monitor, analyze, and act 24/7.
The immune system. Monitors heartbeat every 5 minutes. Diagnoses faults. Escalates or auto-heals. Posts daily ops reports.
Watches every call and chat. 985+ analyses logged. Scores quality, flags HIPAA issues, curates training data.
ElevenLabs ecosystem expert. Daily sweep analysis. Knowledge accumulates — every lesson persists.
Production AI — The Workers
Customer-facing. Answering real calls and real chats for real practices right now.
Answers every call. English and Spanish. Schedules, routes, triages. 4,700+ patient conversations and counting.
Patient portal chat. Same intelligence, 45x cheaper than voice. Scheduling, questions, follow-ups.
By the numbers
What 764,000 lines looks like
Not one codebase. An ecosystem.
The Stack
Production-grade. Not a prototype.
Scale comparison
What takes teams of hundreds takes us months.
Not a comparison of features — a comparison of velocity. Same problem space. Radically different approach.
| Platform | Employees | Funding Raised | Time to Build | IB365 |
|---|---|---|---|---|
| Tebra (Kareo) | 1,069 | $322M | ~13 years | 7 months |
| SimplePractice | 508 | ~$50M+ (est) | ~14 years | 1 founder + 11 agents |
| Luma Health | 186 | $159M | ~12 years | $70K total capital |
| Klara | 103 | $32M | 6 yrs → acquired | In production month 3 |
| Spruce Health | 53 | ~$10M+ (est) | ~10 years | Same feature depth |
The real math
22,000+ engineering hours. One paycheck.
Development Velocity
We ship faster every month.
What we learned building agents
Hard-won. Not theoretical.
Where we're going
If we built this in 7 months with one founder,
imagine what happens with capital.
We're not slowing down. Every month the agents get smarter, the platform gets deeper, and the moat gets wider.
Voice-to-chart clinical documentation. Speak naturally. Chart writes itself.
After-hours intelligence. Finds uncaptured revenue while you sleep.
Custom medical voice model. Faster, cheaper, ours.
From 3 to 1,000. Same architecture. Zero refactoring needed.
Ready to see what we built?
Same-day setup. No contracts. Your practice could be live by tonight.