Pelica unifies your claims, EHR, pharmacy, lab, and ADT data into one live record, and puts an AI copilot next to every team that depends on it. Risk adjustment, Stars, pharmacy, network, care management. Real-time.
Three layers. Each addressable on its own. Deployed together, the equivalent of 8 to 15 point vendors in a single platform.
Each copilot is independently useful. Because they read and write to the same record, an HCC captured by Risk informs the Network agenda; a Part D gap closed by Pharmacy updates the Stars projection.
Real-time HCC capture, RADV-defensible.
Unified gap closure across every payer.
PDC lift on the three triple-weighted measures.
EMR overlay. Providers get credit for care already delivered.
ADT-driven TOC worklists. No duplicate calls across teams.
Plain-English answers from the canonical record.
| Member | HCC | Action | Lift |
|---|---|---|---|
|
MR
M. Ruiz
MBI-•••4821
|
HCC 37 · DM w/ comp | PCP recapture | $1,847 |
|
DA
D. Adler
MBI-•••0193
|
HCC 36 · DM uncontrolled | Care mgmt TOC | $1,212 |
|
TT
T. Truong
MBI-•••7340
|
HCC 18 · CHF | Specialist note | $1,054 |
|
RV
R. Vasquez
MBI-•••2718
|
HCC 111 · COPD | PCP recapture | $908 |
|
SO
S. Okeke
MBI-•••5562
|
HCC 85 · CHF chronic | Encounter review | $842 |
|
JN
J. Nguyen
MBI-•••9104
|
HCC 38 · DM w/o comp | Outreach · A1C | $711 |
|
AP
A. Patel
MBI-•••3027
|
HCC 22 · Morbid obesity | Documentation fix | $612 |
Quality, risk, and care leaders across MA plans, ACOs, IPAs, and medical groups describe the same three pains. They're structural, not vendor-specific, and each one gets fixed at a different layer of the work.
DR
Director of Risk Adjustment
SM
Stars Program Manager
VQ
VP of Quality
A physician-led IPA managing 175,000 commercial, Medicare, and Medicaid members across New York. Here's what changed when their teams started working from one shared record.
A physician-led IPA serving 175,000 commercial, Medicare, and Medicaid members across New York. Risk adjustment ran out of one set of files. Quality and Stars ran out of another. Pharmacy adherence lived in the PBM portal. Provider performance was assembled in spreadsheets.
Patients fell through the seams between teams. The same member got three calls in the same week: one from risk, one from quality, one from the practice. Sometimes in a language the member didn't speak. Submission windows closed before suspect HCCs surfaced.
One shared record across risk, quality, pharmacy, and care management. Outreach in the right language, only once. RADV-defensible chain-of-custody on every captured HCC. No new headcount.
"We were calling the same member three times. Risk, then quality, then the practice. Sometimes in a language they didn't even speak. Now one outreach goes out, in the right language, and the patient actually comes in."
If your margin moves with clinical and quality outcomes, your team is the buyer. We work across health plans, IPAs and MSOs, ACOs, and risk-bearing medical groups.
MA · Dual-SNP · Regional Blues
Delegated risk-bearing
MSSP · REACH · CINs
Primary care · Multi-specialty · DSOs
Two ex-Google AI engineers, embedded directly with VBC operators.
Led Google AI work on Gemini and enterprise AI agents. Clinical AI researcher at Stanford School of Medicine. Front-line patient care at clinics in California and New Hampshire.
Built software for regulated industries at Google and YouTube. Engineering and ML lead on YouTube Payments, running a 45+ person team in Commerce Billing. Wharton MBA. ACM-ICPC World Finalist.
Backed by Y Combinator and operators from healthcare and AI companies.
Tenant isolation, encryption end-to-end, full audit trail, and contractual zero-retention with every LLM provider in use. Available on request: SOC 2 Type II report, BAA template, subprocessor list, pen-test history.
Visit our Trust Center →
30-minute walkthrough. We'll run the copilots live on a redacted book of business from a real risk-bearing org.
Book a Demo →