Revenue cycle · Prior authorization and revenue cycle services
Infinx
Infinx is a revenue cycle management company, with headquarters in Cupertino, California, and Mumbai, India, that combines AI software with billing specialists to handle prior authorizations, eligibility checks, coding, claims, and denials for hospitals, surgery centers, physician groups, and other providers.
Strong fit
- Hospitals, imaging centers, and specialty groups with heavy prior authorization volume
- Providers that want software and outsourced revenue cycle staff from one vendor
- Organizations short on billing staff that need work taken off their teams
Weak fit
- Health plans looking for payer-side tools
- Small practices that want a simple self-serve billing tool
- Buyers who want published prices
Bottom line
Infinx sells AI software and outsourced revenue cycle staff to providers, and prior authorization is its strongest product. It suits hospitals and specialty groups that want authorizations, claims, and denials worked by one vendor that combines automation with people who call payers when software cannot finish the job. Practices wanting a self-serve billing tool should look elsewhere.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Infinx is bought by hospitals, rural hospitals, ambulatory surgery centers, physician groups, long-term care pharmacies, and dental groups, about 800 customers in all, co-founder and managing director Sudeep Tandon told Mergermarket in July 2025. It is strongest in prior authorization for imaging, surgery, rehabilitation, cardiopulmonary, sleep, and bariatric services, and it also handles eligibility checks, coding, claims, and denials.
Infinx sells software, services, or a mix of the two, and does not publish prices. With a revenue run rate above $200 million in 2025, it is larger than most AI-first revenue cycle startups and much smaller than Waystar. Among companies we review, Waystar and Experian Health sell prior authorization and claims software to providers, AKASA uses generative AI to automate revenue cycle work, and SamaCare focuses on specialty drug authorizations. Sudeep Tandon listed Zotec Partners, Access Healthcare, AGS Health, and GeBBS Healthcare Solutions as other players in revenue cycle services.
Jaideep Tandon, the chief executive, founded Infinx in 2012 with his brothers. The family had been doing back-office technology work when a contact asked for help with medical transcription, he told HIStalk, and that request led them into health care. KKR took a significant minority stake in 2024, and Infinx has made six acquisitions, including prior authorization software maker Glidian and the health care revenue cycle business of i3 Verticals, bought for $96 million in 2025.
The software is organized as a Healthcare Revenue Operating System with modules for patient access, document capture, and revenue cycle work, plus a catalog of AI agents. On its prior authorization page, Infinx says an agent decides whether an authorization is needed with over 98% accuracy, submits cases electronically where payers allow it, and hands complex cases or fax-and-phone payers to its own specialists, who follow up until there is a decision.
In September 2026 Black Book Research ranked Infinx first for provider-side prior authorization automation, and Infinx said its Patient Access Plus product processes more than 6 million authorization requests a year across more than 1,400 health plans.
What customers say
What people like
"Their system tells our schedulers whether a procedure needs an authorization at all, which cut out a lot of time spent checking payer portals."
"When a payer only takes faxes or phone calls, the Infinx team works the case, so our staff do not have to."
What people don't like
"A lot of the work is done by their offshore team, so we spent time agreeing how cases get handed back and forth."
"Pricing was not published, and the quote changed depending on how much work we gave their staff."
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Infinx prior authorization overview, HIStalk interview with Jaideep Tandon, and Infinx Black Book announcement.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Waystar | 8.0 | 7.7 |
| AKASA | 7.5 | 7.0 |
| Infinx | 7.3 | 7.0 |
| SamaCare | 7.1 | 7.0 |
| Experian Health | 7.0 | 6.7 |
Pricing
| Item | Detail |
|---|---|
| Model | Software subscriptions, outsourced revenue cycle services, or a combination, sold to hospitals, surgery centers, physician groups, and other providers. |
| What usually drives cost | Volume of authorizations, claims, or accounts, which modules are licensed, and how much work is handed to Infinx's specialists. |
| What to ask before you buy | Ask Infinx which work is automated and which is done by its staff, how fees change with volume, and which results are guaranteed. |
| Published pricing | Not published. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Infinx to function | |
| Scheduling and EHR access | Infinx works orders and authorizations from your systems. |
| Payer portal credentials | Specialists and agents submit to payers for you. |
| Clear handoff rules | Defines which cases your staff keep. |
| Security review | Outsourced staff touch patient data. |
| What will maximize your value | |
| Start with prior authorization | Infinx's strongest product shows results first. |
| Agree on outcome measures | Approval rates and turnaround time. |
| Add denials work later | Builds on the same data connection. |
| Deal-breakers | |
| No access to scheduling data | |
| Payer-side buyer | |
| Refusal to share work with outside staff | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | System connection and setup | 4-8 weeks |
| 2 | Authorizations flowing through Infinx | 1-3 months |
| 3 | Claims and denials work added | 3-6 months |
Leadership
Jaideep TandonChairman and CEO- Sudeep TandonCo-founder and Managing Director
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.