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Siftwell Analytics

2 viewers · 30d

Total raised

$104K

1 filing since 2022 · latest Options filed

Cumulative raised
LAST ROUND
Options · $104K
ROUNDS
1
INVESTORS
4
FOUNDED
2021
HQ
Charlotte, NC
SECTOR
Healthcare
EMPLOYEES
N/A
30D VIEWERS
2

AI overview

Updated

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.

What sets it apart

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 history

1 round
OptionsNov 1, 2022
Form D
+$104K$104K total

Latest SEC filings

via EDGAR · CIK 0001926185
Form D · Nov 1, 2022View on EDGAR

Products

1 tracked

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
  • Member cohort identification and risk stratification

Links

WebsiteLinkedInSEC EDGAR filings