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Companies

Siftwell

Member risk prediction for Medicaid and Medicare plans

Raised to date

$104K

of $104K offered across 1 Form D filing

Investors
4
Last filed
Apr 21, 2026

About

Siftwell Analytics is a Charlotte, NC digital health company that builds AI-driven predictive analytics for community health plans and managed care organizations. Its platform combines clinical claims data with social and environmental determinants of health to predict which members are at risk and to recommend interventions the plan can actually staff and execute. The company was founded by Trey Sutten (CEO), Chuck Hollowell (President and General Counsel) and Eben Esterhuizen (CTO), and serves Medicaid, Medicare and dual-eligible plans across states including Idaho, Montana, Wyoming and North Carolina. It raised a $5.8 million venture round from AlleyCorp, Arkin Digital Health, Tau Ventures and The Charlotte Fund.

Rather than emitting generic risk scores, Siftwell contextualizes its predictions against the health plan's real operational capacity and the member's real-world obstacles (transportation, food access), so the output is a ranked list of interventions the plan can act on; the founding team are former health plan operators and clinicians rather than pure data scientists.

Funding

  • Option to acquireFiled Apr 21, 2026Form D
    $104K/ $104K

Product

Siftwell whole-member intelligence platform

Healthcare payer analytics software

An AI platform that ingests a health plan's clinical, claims, social and environmental data and returns whole-member profiles, risk stratification, member cohorts and specific recommended actions, typically within days of onboarding.

  • Predictive member risk models combining clinical patterns with social determinants of health
  • Whole-member profiles surfacing hidden risk and real-world barriers to care
  • Recommended interventions scaled to the plan's actual staffing capacity

Built for

Community health plans, managed care organizations and health cooperatives serving Medicaid, Medicare and dual-eligible populations

People on file