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Simbie AI: AI Voice Staff for SMB Medical Practices

Powering the Return of Independent Medicine

Hi YC! We’re Natalia Khosla MD and Rachel O’Driscoll from Simbie AI.

TL;DR

We build EHR-integrated AI voice agents designed for SMB practices—unlocking hospital-level efficiency without the labor overhead for the 50% of U.S. care alone delivered through independent clinics. Since launch in Jan 2025, we’ve grown revenue 83x with $0 CAC, operating nationwide with zero churn, cutting staff-to-physician ratios by one-third, and recovering 10-20% of revenue previously lost to missed calls (practices today miss 20-40% of calls!). After decades of physician burnout from hospital consolidations, doctors are desperate to stay independent: we’re the communications layer powering this movement.

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Ask: Intros! founders@simbie.ai

https://youtu.be/sobMtQJIwn0

Problem: Staff Cost Too Much, Overhead Limits SMB Scale

The average 30-clinician practice gets 2,500-3,000 calls a day and places over 1,500! This takes at least 40 full time human staff just to keep up with calls, creating overheads of 30-50% of practice revenue. Quality is still not there: 20-40% of calls are missed, and patients wait 8-30 min on hold.

Solution: Infinitely scalable, EHR-integrated AI voice agents to answer phones and call patients

We built AI voice staff that are clinically intelligent, 24/7, multilingual, and completely EHR-integrated to do both admin (scheduling, insurance) and clinical (refills, results, peri-operative calls) tasks. Simbie is designed for independent practice: frictionless, fast setup for operations without large IT teams.

Accomplished To Date:

  • Grown 83X since launching in Jan 2025
  • Used 24/7 in practices across the country
  • Zero churn
  • Established deep EHR workflow integrations in the systems used across 90% of independent practices: the moat & switching cost
  • $0 CAC thanks to 1) quick trust-gaining of SMB doctor-leadership as a doctor- and clinical operator-led team and 2) viral spread via SMB peer-to-peer networks.
  • Cut staff-to-physician ratios by one third

Team & Our Why:

Natalia and Rachel met during their undergrad days at Yale as roommates and quick best friends. They’re building this product from firsthand experiences (and frustrations) as a doctor and clinic operations manager—they can execute these EHR workflows in their sleep from clinic days.

Natalia Khosla MD MSc is a physician from UChicago, Fulbright Scholar, and LSE master’s in health economics. As a doctor herself, and from a family of docs (parents, sibling, even grandparents), she grew up watching her uncle’s private practice get threatened with acquisition by every health system in Chicago, from Advocate to Northwestern, and the financial difficulties of keeping shop open. She watched family friends’ practices get gobbled up by the giants despite doctors and patients hating it (docs make less money, no agency, patients do worse). Dinner table convos were about how we as doctors can fight back. AI was the turning point she’d been waiting for: infinitely scalable agentic staff to give independents the scale to compete with hospitals. Simbie is the vehicle powering this movement that started a long time ago, a quiet revolution waiting for its catalyst.

Rachel O’Driscoll is a clinical ops and strategy veteran with a proven track record: she built Cayaba Care, a brick and mortar and digital health practice, ground-up. As the Ops leader and de facto practice manager overseeing medical assistants and front desk staff firsthand, she saw the inefficiency of human staffing. Before Cayaba, Rachel led private practice onboarding at Formation Bio and designed partnerships with practices at Carrot Fertility. Across all roles, she’s specialized in streamlining clinic operations, improving patient experience, and building scalable systems that support independent practices.