Pear closes them.
Analytics platforms only tell you who has gaps.
We orchestrate the workflows to close them.
Lost Since You Opened This Page
$0
Prevention
$200
Complication
$75,000
Prevention
$150
Complication
$50,000
Prevention
$50
Complication
$35,000
Our system ingests EMR data, payer rosters, and claims history, then cross-references them to identify every open care gap for every patient. In seconds, not weeks.
Natural, multilingual phone conversations that reach patients where they are. Not robocalls. Real conversations that schedule appointments, confirm medications, and educate.
When a patient completes their care, our system auto-generates documentation, updates the EMR, and files claims. Zero manual data entry.
And then it starts again. For every patient. Every month.
And then it starts again. For every patient. Every month.
0
Patients Served
0+
Calls Made
>0%
Successful Call Rate
Revenue
Step-change at September (~2.3x)
Representative cohort: 3 partner clinics, March–December 2025
6
Major EMR integrations, one unified platform
Medicare patient with diabetes, hypertension, and high cholesterol. Five overdue care gaps. Her PCP sees her twice a year, not enough to close them all.
In seconds, Pear identifies every open gap: overdue A1C test, lapsed statin, missed mammogram, uncontrolled blood pressure, and an overdue eye exam.
An 8-minute natural conversation. Pear schedules her A1C test, re-orders her statin, books her mammogram, and reminds her to bring her BP cuff to her next visit.
Pear AI (Sarah)
Dorothy
Pear AI (Sarah)
Dorothy
Documentation auto-generated for each closure. APCM claim filed. Quality measures updated in real time. Eye exam scheduled for next month.
4/5
Gaps Closed
2 weeks
Time
0 min
Manual Work
Generate VBC revenue without adding headcount
Close care gaps at population scale
Reduce utilization costs through proactive outreach
Meet quality metrics with existing staff
Previously founded and scaled successful companies in the ML space. Know how to go from 0 to 1.
A team of physicians and engineers from MIT and other top institutions.
Team members from Google, Microsoft, and Mass General Hospital.
Working on LLMs since the pre-ChatGPT era. Deep AI expertise before it was mainstream.
Physicians who have worked both in clinics seeing patients and at the health plan level understanding VBC holistically.
From identifying care gaps to contacting patients to closing the loop. Built by people who understand both sides.
One Platform
We don't just meet compliance requirements. We simulate the hardest clinical edge cases so our system is battle-tested before it ever reaches a patient.
End-to-end encryption, access controls, and audit logging. PHI is never exposed to unauthorized parties.
Independently audited security controls across availability, confidentiality, and processing integrity.
Thousands of adversarial evals across high-risk clinical scenarios, before any model touches a real patient interaction.
Our Eval Pipeline
Every release goes through extensive adversarial simulations, stress-testing medication recommendations, triage decisions, and edge-case patient scenarios.
10,000+
simulation scenarios run per release
< 0.1%
hallucination rate on clinical content
100%
physician-reviewed edge cases
Join the clinics already using Pear to close care gaps, generate revenue, and improve outcomes. Automatically.