Sift Healthcare
Payments AI and analytics for the revenue cycle
Our take
Sift Healthcare, founded in Milwaukee in 2017, applies machine learning to the full stream of a health system's payments data: claims, remits, denials, authorizations, coding, and patient payments. Its RevProtect product pushes payer-specific denial prevention guidance to utilization review, clinical documentation, and coding staff before the bill goes out, while its recovery tools score denials by how likely they are to be overturned and how much cash working them will actually produce. The goal is fewer avoidable write-offs and staff effort pointed only at work that converts.
The company raised a $20M Series B led by B Capital in May 2024, bringing total funding past $40M, and in 2026 landed Hartford HealthCare as a named strategic partner. Its annual Denials Insights research has become a credible read on payer behavior. For buyers, Sift sits in the growing category of AI layers that make an existing revenue cycle team sharper rather than replacing systems; the payoff is real but arrives only after you connect your data and change how work is prioritized.
What it does
- Unifies clinical, authorization, coding, and payment data
- Pre-bill denial prevention recommendations (RevProtect)
- Scores denials by overturnability and expected cash
- Guides UR, CDI, and coding staff in workflow
- Payment forecasting and patient payment intelligence
Where it's strong
- Genuine data science depth: models are trained on unified payments data and delivered inside existing pre-bill workflows rather than another standalone portal.
- Its annual Denials Insights report, now in its fourth year, shows real research muscle on payer behavior trends.
- The Series B led by B Capital in 2024 gives it runway to keep investing in its AI products.
What buyers should weigh
- Few publicly named customers; Hartford HealthCare is the notable reference, so demand more references during diligence.
- Value depends on integrating with your claims and clinical data feeds, which is a meaningful implementation lift.
- It is analytics and intelligence, not outsourced staffing, so you need a revenue cycle team ready to act on its recommendations.
Latest
In early 2026 Sift announced a partnership with Hartford HealthCare and published its fourth annual Denials Insights report identifying nine payer trends shaping 2026 reimbursement risk.
Also in Payment Integrity & Underpayments
Anomaly
AI payment intelligence across payers and providers
Rivet
Estimates, underpayment recovery, and denial workflows
MD Clarity
Underpayment detection and patient estimates for provider groups
Track this market
First Pass covers Payment Integrity & Underpayments and the rest of the getting-paid stack every week.