Pelica GTM brain

Pelica sells AI copilots and a unified member record to risk-bearing healthcare organizations managing quality, risk and care operations.

category

Value-based care operations AI

market profile

  • text: Value-based care operators coordinate work across fragmented clinical, claims and payer data under time-sensitive quality and risk contracts.
  • text: Pelica targets multiple workflows including Stars, risk adjustment, pharmacy and care management, competing with specialized point solutions.

personas

  • title: Director of Quality or Stars
    pains:
    • Quality gaps and medication adherence work are spread across payers and staff.
    • Submission deadlines make manual outreach and coordination difficult to scale.
  • title: Director of Risk Adjustment
    pains:
    • Unconfirmed HCC opportunities must be captured before submission windows close.
    • Audit defense requires documented provenance across fragmented data.
  • title: Care management leader
    pains:
    • Teams must identify transitions of care and coordinate timely follow-up across systems.
    • Disconnected member information produces duplicated outreach.

icp

  • text: US health plans, delegated IPAs and MSOs, ACOs and risk-bearing medical groups with value-based contracts.
  • text: Teams managing large member populations across claims, EHR, pharmacy, lab and ADT feeds with operational capacity constraints.

message pillars

  • text: Unify fragmented information into a shared member record.
  • text: Put specialized AI beside the teams responsible for outcomes.
  • text: Carry evidence and auditability through operational actions.

objections

  • objection: Can AI actions be audited in a regulated healthcare workflow?
    response: Review the evidence, provenance, audit trail and tenant isolation against your compliance requirements in a pilot.
  • objection: Will integrating disparate systems delay value?
    response: Scope the initial feeds and one workflow; the site reports a two-week go-live for a named customer, though results vary.

competitors

  • name: Hippocratic AI
    why: AI care coordination and patient interaction overlaps with Pelica's operational agents.
  • name: Tennr
    why: Healthcare workflow automation competes for administrative operations budgets.

influencers

  • name: Lalit Kundu
    url: https://www.pelica.com/team/lalit-kundu
    why: Co-founder and CEO writing about healthcare data and AI agents.

keywords

  • value based care AI
  • HEDIS gap closure software
  • risk adjustment HCC automation
  • Medicare Stars quality software
  • medication adherence AI
  • care management automation

voice

  • Operational and specific
  • Evidence and audit focused
  • Confident

signals

  • text: A risk-bearing organization is facing Stars or HEDIS deadlines with fragmented payer data and manual outreach.
  • text: An IPA or plan is preparing for risk adjustment audits or replacing disconnected point solutions.

stack

  • FHIR
  • HL7

hiring

  • Full-Stack Software Engineer
  • Machine Learning Engineer

pricing

model: unknown

motion

sales_led

channels

  • SEO
  • customer stories

confidence

high

Founders

  • name: Lalit Kundu
    title: Founder/CEO
    role: CEO
    bio: building healthcare's AI operating system Previously grew to Staff Engineer at Google within 6 years, where I led a 45+ engineer org to deliver $XX-B ARR solutions. Before that, I built core payments infrastructure for Google Pay India. Programmer at heart, ACM-ICPC World Finalist and coach for India’s IOI team (8 medals).
  • name: Catherine Zhao
    title: Founder/COO
    role: COO
    bio: Building Pelica. Prev Google APM & SWE (building YouTube, ChromeOS, image & video GenAI infra, enterprise AI agents). Always volunteering in healthcare (clinical research, memory care, medical assistant at a free clinic). And the first job I ever got paid to do was a caricature artist at an amusement park!

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