Lattice Health GTM brain

Lattice Health helps hospitals monitor deployed clinical imaging AI and produce governance evidence for clinical, IT and compliance leaders.

category

Clinical AI monitoring and governance

market profile

  • text: Hospitals operate clinical AI from multiple vendors without a shared view of drift, subgroup performance and vendor updates.
  • text: Post-deployment oversight and evidence production are emerging responsibilities for imaging departments and health systems.

personas

  • title: Chief medical information officer
    pains:
    • Cannot see whether imaging models drift or underperform for patient subgroups across vendors
    • Needs clinical evidence without relying on another dashboard
  • title: Radiology AI or imaging director
    pains:
    • Reader concerns about AI results are difficult to aggregate
    • Silent model updates can change performance without a clear signal
  • title: Hospital compliance officer
    pains:
    • Reconstructing model behavior for a regulatory or legal inquiry takes weeks
    • Needs defensible evidence and chain of custody
  • title: Hospital IT director
    pains:
    • Fragmented vendor signals and latency alerts complicate oversight
    • New monitoring must fit existing HL7 and DICOM workflows

icp

  • text: Hospitals and health systems operating multiple clinical AI models, especially radiology and imaging deployments.
  • text: US health systems with dedicated clinical informatics, IT and compliance stakeholders are a likely initial fit, given the site's named roles and US standards.

message pillars

  • text: Inventory and monitor clinical AI across vendors.
  • text: Give each accountable leader an actionable daily report.
  • text: Bring frontline radiologist feedback into oversight.
  • text: Integrate alongside existing infrastructure.

objections

  • objection: Our vendors already monitor their own models.
    response: Position Lattice as a cross-vendor view with shared drift, fairness and reader feedback, and validate coverage in a pilot.
  • objection: Integration and patient-data exposure will slow procurement.
    response: Review the existing HL7 and DICOM feeds and security design with IT; the site says no PHI travels on the wire.
  • objection: We do not need another dashboard.
    response: Show the role-specific signed report and the evidence packet rather than asking leaders to adopt a new dashboard.

competitors

  • name: Ferrum Health
    why: Clinical AI platform with deployment, validation and monitoring capabilities.
  • name: CARPL.ai
    why: Radiology AI platform includes validation and post-deployment monitoring.

influencers

  • name: Christine Park
    url: https://www.linkedin.com/in/christine-park-642011230
    why: Founder with clinical and research background who can explain the governance problem.

keywords

  • radiology AI monitoring
  • clinical AI governance
  • medical imaging model drift
  • AI fairness hospital
  • radiology AI post deployment monitoring
  • clinical AI audit evidence

voice

  • Direct and problem-led
  • Clinically grounded
  • Skeptical of dashboard clutter

signals

  • text: A health system is deploying imaging models from several vendors or expanding its AI portfolio.
  • text: A radiology or clinical informatics team is establishing post-deployment monitoring or responding to governance reviews.

stack

  • HL7
  • DICOM
  • PACS
  • EHR

pricing

model: unknown

motion

sales_led

channels

  • YC directory
  • LinkedIn
  • pilot requests

confidence

medium

Founders

  • name: Christine Park
    title: Founder/CEO
    role: CEO
    bio: I'm the founder/CEO of Lattice Health. Previously, I trained in neurosurgery at the University of Washington and obtained my MD/MEng at Duke. Currently, I'm pursuing a CS PhD at Stanford.

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