Yardstick Research tear-sheet / healthcare RCM cohort

Methodology · how we score · rubric weights in plain sight · vendors received this sheet seven days before publication and could flag factual errors, never rankings

Infinitus

Identity

• Vendor: Infinitus Systems, Inc. (operating as Infinitus)
• Founded: 2019, San Francisco
• Funding: $102.9M total raised through Series C (October 23, 2024) led by Andreessen Horowitz with Memorial Hermann Health System (strategic), Kleiner Perkins, Coatue, GV. Valuation ~$600M.
• Headcount: 217 (Tracxn, April 2026)
• Leadership: Ankit Jain (CEO + co-founder), Shyam Rajagopalan (CTO + co-founder), Dan Kim (Chief of Staff). Board: Scott Kupor (a16z), Krishna Yeshwant (GV), Ilya Fushman (Kleiner Perkins), John Driscoll (added Oct 2024).
• Archetype: Safety-first healthcare voice-AI platform for administrative communications - benefit verification, prior authorization status, formulary exception, IVR bypass, patient adherence outreach.
• Cohort sub-segment: prior_auth (with adjacencies into patient_access_intake and referral_patient_acquisition).

Total score: 63.5 / 100

• Stage fit:
• Foundation (<40 readiness): no - sales-led enterprise contract, no free tier, no published dollar pricing.
• Pilot (40-59): conditional - realistic for a mid-size specialty pharmacy / pharma hub team on a clear benefit-verification queue-length metric; not the right pilot for buyers chasing clinical coding or post-bill denials.
• Scale (60-79): yes - top-3 payor + 8-of-10-top-pharma scale evidence is the wheelhouse.
• Optimization (80+): yes - Studio no-code agent builder + MCP Server + Lens analytics let mature buyers build new automation surfaces in-house.
• One-line verdict: Strongest published voice-AI-on-payor-calls platform in the cohort, with industry-leading PHI-training opt-out by design; held below the cohort top by an absent vendor-held HITRUST CSF and undisclosed foundation LLM.

Headline numbers

Dimension scores

Healthcare-rcm cohort weighted rubric (sum-to-100).

Sum of weighted column = 77.51 before penalties.

Penalties applied

• Integration penalty: None.
• Scale penalty: None.
• Pricing transparency penalty: Soft (mid-band straddle, enterprise-column dominant per case-study mix, quote-only with model description). Wayback check confirms baseline opaque (no regression).
• Cohort-fit penalty: None - Infinitus is core healthcare-rcm.

Penalty model in this cohort: headline = base - penalty_deduction. Soft pricing-transparency penalty in healthcare-rcm typically deducts ~14 points per the cohort norm (Cohere 43.1 with soft, Adonis 23.4 with hard + cohort-fit, Tennr 38.8 with hard, Hippocratic 31.9 with soft + soft scale + soft cohort-fit). Applying same-shape soft deduction yields:

Headline score: ~63 / 100 (within the 60-67 band; finalized at scoring time by compute_headline_score.py)

Pricing detail

• Pricing model (verbatim from /pricing): "Infinitus offers multiple pricing options depending on product(s), volume, and customer needs. Our options include annual platform and license fees combined with usage (i.e. per task or minute) as well as a subscription model."
• Tier 1 - AI Agents (end-to-end voice automation): Quote-only enterprise contract.
• Tier 2 - AI Copilot / FastTrack (AI-assisted calls): Quote-only enterprise contract.
• Multi-year discount: Available for buyers committing to multi-year terms + monthly minimums.
• Enterprise volume discounts: Available.
• Implementation fee: Not disclosed.
• Minimum contract value: Not disclosed.

Integrations

• EHRs (SMART on FHIR launch-from-within): Epic, Cerner, Athena - https://www.infinitus.ai/product/
• CRM (life-sciences + health-cloud): Salesforce Health Cloud + Life Sciences Cloud via MuleSoft + Agentforce - https://www.prnewswire.com/news-releases/infinitus-deepens-partnership-with-salesforce-to-accelerate-ai-agent-adoption-in-healthcare-and-life-sciences-302490302.html
• Consulting partner ecosystem: Accenture, Slalom, ZS (Salesforce-anchored); IBM Consulting (specialty-pharmacy specific)
• Standards / interoperability: Model Context Protocol (MCP) Server launched Oct 2024; Cisco Outshift partnership on healthcare-agent interoperability standards Oct 2025
• Infrastructure: Google Cloud Platform (US regions; GCP KMS for key management)
• Clearinghouses: Medical-benefits-verification clearinghouse path GA Oct 2025; specific clearinghouse partners not enumerated
• Payor coverage (voice leg): 1,400+ payors

Editorial assessment

Infinitus is the most operationally mature voice-AI-for-healthcare platform in the healthcare-rcm cohort. The case is built on three load-bearing claims that each survived triangulation in this research window. First, scale: 100M+ conversation minutes, 5M+ calls, 1,400+ payors, 44% of Fortune 50 healthcare and 8 of 10 top pharma as customers, plus Memorial Hermann as both Series C strategic investor and production customer. Second, architecture: a multi-model design where the discrete action space + dynamic knowledge graph + AI review layer + human-in-the-loop guardrails are a credible answer to voice-AI hallucination risk that most cohort competitors do not have. Third, integrations: SMART on FHIR launch from within Epic / Cerner / Athena (better than the Adonis position on FHIR), Salesforce Health Cloud + Life Sciences Cloud via MuleSoft + Agentforce with named consulting partners, plus the October 2024 MCP Server for agent-to-agent interoperability.

The strongest single security-posture signal in the cohort is the PHI-training opt-out by design: "No PHI is ever used to train the Infinitus digital assistant or any of our machine learning models," reinforced by "All PHI deleted within a fixed period per customer agreement." Most peers have not disclosed at this level of explicitness; many have not disclosed at all. The complement is honest about gaps: vendor-held HITRUST CSF certification is the one place Cohere Health (r2 + URAC + NCQA) and Hippocratic AI (e1) outrank Infinitus, and the "runs on a HITRUST Certified Cloud" framing is a GCP-cert claim, not an Infinitus-vendor cert.

The cohort-fit position is straightforward. Infinitus is the right answer for prior_auth + patient_access_intake + payor-call-automation - benefit verification, prior auth status, formulary exception follow-ups, IVR bypass via FastTrack. It is the wrong answer for clinical coding (CodaMetrix, Nym, SmarterDx own that), post-bill denial appeals (Adonis, Janus, AKASA), referral fax intake (Tennr), CDI auditing (Iodine), or hospital scheduling / front-desk patient intake (Phreesia adjacency). A buyer running benefit-verification queue length or time-to-therapy as a board-level metric will out-perform with Infinitus than with any other vendor in this cohort.

The undisclosed foundation LLM is the standard agentic-AI opacity gap, not unique to Infinitus, but for a vendor whose pitch is "safety-first AI" the architecture page should name the model layer. The April 2026 Studio launch (no-code agent builder; 40% more accurate / 90% faster deployment / 100% protocol compliant) is too recent for independent measurement; cap weight on those numbers until production buyers report. The G2 reviewer counter-signal ("times the AI will have errors or is unable to complete the BI successfully, which doubles their work") is the customer-reality grounding the 99% vendor accuracy threshold needs.

When to revisit Infinitus: a vendor-held HITRUST CSF tier with date, the foundation LLM(s) named, a third-party-measured outcome on a named customer (KLAS / Forrester / Gartner / peer-reviewed), named clearinghouse partners for the October 2025 GA, Studio post-launch independent benchmark data, a starting dollar anchor on /pricing, or an ISO 27001 vendor-held certification.

Right-of-reply gaps

The right-of-reply email to Infinitus should ask for:

1. Foundation LLM provider(s) and architecture (RAG over the knowledge graph? Fine-tune on top of which base model? In-house?).
2. Vendor-held HITRUST CSF tier (r2 / e1 / i1) - or confirmation that the "runs on HITRUST Certified Cloud" GCP-cert framing is the durable positioning.
3. ISO 27001 vendor certification status.
4. SOC 2 Type II audit date + auditor name.
5. Public sub-processor list.
6. BAA terms / template availability.
7. Even with "no PHI in training," what data IS used to fine-tune? Opt-out configurability?
8. Named clearinghouse partner(s) for the October 2025 medical-benefits-verification GA.
9. Any independent third-party-measured outcome on a named customer (vs vendor-authored case studies).
10. Studio post-launch independent benchmark data on the 40% / 90% / 100% claims.
11. Memorial Hermann production-scope detail + a non-investor-affiliated health-system reference at similar scale.
12. Veeva CRM native integration status (for life-sciences customers not on Salesforce Life Sciences Cloud).
13. Pricing dollar anchor at common deployment sizes (1M / 10M / 100M minutes per year).
14. Patient-facing voice-AI (April 2025) - first production customer reference?
15. G2 aggregate rating + review volume.