Inferscience, Inc

What Inferscience, Inc does

Inferscience, Inc is a physician-founded, privately held healthcare AI company headquartered in Newton, Massachusetts, operating since 2014 under CEO Dr. Sunil Nihalani. It sells a unified AI-powered clinical intelligence platform that uses advanced natural language processing, clinical logic, and OCR to analyze structured and unstructured patient data drawn from EHRs, health information exchanges, and claims, then surfaces risk-adjustment insights at the point of care. The product suite comprises four core modules — HCC Assistant for real-time NLP-driven HCC coding guidance, Quality Assistant for care-gap identification and closure, HCC Validator for MEAT-compliance and RADV-readiness validation, and AI Chart Assistant for AI-generated patient summaries and clinician chatbot queries — plus a Claims Assistant add-on for retrospective claim-file analysis.

Technology foundation spans text NLP, structured data processing, OCR on scanned PDFs/images, multimodal fusion across EHR and external sources, and a payer-facing JSON API. The platform embeds natively inside six major EHR systems (Epic, athenaOne, Veradigm, Elation, eClinicalWorks, and Cerner), positioning it inside provider documentation workflows rather than as a stand-alone portal. Disclosed performance metrics include 98% coding precision, 97% diagnosis-suggestion accuracy, 11% Medicare-funding lift among users, and a 35% average RAF-score improvement across practices.

The business model is enterprise SaaS with annual contracts and quote-based pricing; distribution is direct enterprise sales plus inside-sales demo funnels, supported by a content engine (blog, Care Decoded podcast, white papers, webinars). The company targets four customer segments — health plans/payers and providers/physician groups as primary, plus ACOs and vendors/third-party partners as secondary — all anchored in the Medicare Advantage risk-adjustment and value-based-care workflow. The company is self-funded, Delaware-incorporated, and operates with a disclosed leadership team of roughly five individuals plus two advisors.

Name

Inferscience, Inc

Legal name

Inferscience Inc.

Website

https://inferscience.com

Company type

Private

Founded year

2014

Operating status

Operating

Headcount range

1–10 employees

Short description

Inferscience is a physician-founded AI platform that delivers NLP-driven HCC coding, risk-adjustment, care-gap, and RADV-compliance decision support embedded natively in major EHRs, serving Medicare Advantage health plans, providers, ACOs, and healthcare vendors.

Ownership category

akta.pro rank

Product category

Healthcare Clinical Decision Support Software

NAICS

Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Payer-Provider Data Exchange (X12, prior auth, claims/clinical attachment) (HLACABAK)

akta.pro secondary industries

Interoperability Standards, Profiles & Implementation (HL7/FHIR/IHE) (HLACABAA), Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO)

Keywords

• HCC coding software
• Risk adjustment solutions
• Clinical decision support
• Healthcare AI platform
• Medicare Advantage analytics

Headquarters

HQ city

Newton

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Software Subscription/Licensing: The company provides AI-powered software solutions for HCC coding and risk adjustment delivered as an integrated EHR tool. The primary revenue stream appears to be software licensing or subscription-based access to their platform, with enterprise pricing based on organization size and needs.
2. API Services for Payers: Healthcare API enabling payers and third-party vendors to harness advanced HCC coding analysis, facilitating healthcare interoperability and delivering deeper insights. API delivers analysis in JSON format.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels5 records

Core offering

Inferscience builds an AI-powered clinical intelligence platform that uses natural language processing (NLP) and clinical logic to analyze structured and unstructured patient data from EHRs, HIEs, and claims. It sells this capability as a suite of integrated products (HCC Assistant, Quality Assistant, HCC Validator, AI Chart Assistant, and Claims Assistant) that deliver real-time HCC coding suggestions, MEAT compliance validation, care gap closure, and patient summarization to health plans, providers, ACOs, and healthcare technology vendors.

Product overview

Inferscience is a physician-founded AI company offering a unified ecosystem of healthcare intelligence products for risk adjustment and quality performance. The portfolio includes four core integrated products: HCC Assistant (real-time NLP-driven HCC coding guidance), Quality Assistant (care gap identification and closure), HCC Validator (MEAT compliance validation and RADV readiness), and AI Chart Assistant (AI-powered patient summarization with chatbot). These products work together to transform complex clinical data from EHRs, HIEs, and claims into actionable insights, reducing administrative burden while improving RAF accuracy and documentation quality. An API offering enables payers and third-party vendors to integrate HCC coding analysis capabilities into their own systems. The platform serves health plans, providers, ACOs, and vendors with seamless EHR integrations including Epic, athenaOne, Veradigm, Elation, and eClinicalWorks.

Differentiator

Problem solved

Functional benefit

Brands

• HCC Assistant: NLP-driven HCC coding tool for real-time risk adjustment coding guidance with 98% coding precision and 97% accuracy
• Quality Assistant
• AI Chart Assistant
• HCC Validator
• Claims Assistant

Products and services

• HCC Assistant NLP-driven real-time HCC coding guidance tool that analyzes structured and unstructured patient chart data to surface clinically supported HCC codes during patient encounters. Targets providers and coders in health plans, physician groups, and ACOs, claiming 98% coding precision and 97% diagnosis suggestion accuracy, and helping practices improve RAF accuracy by 35%.
• Quality Assistant Care gap identification and closure tool that surfaces payer-specific care gaps (needed labs, screenings, and quality measures) directly inside the EHR workflow. Used by value-based-care providers to improve quality and STAR ratings performance, close gaps at the point of care, and reduce administrative reconciliation work.
• AI Chart Assistant AI-powered patient summarization and clinical insights tool that synthesizes diagnoses, medications, labs, imaging, notes, and external documents (referrals, hospital reports, scanned PDFs) into a unified patient view, and includes an AI chatbot for clinician Q&A. Built for providers and clinical staff to reduce chart review and prep time.
• HCC Validator Compliance and RADV readiness tool that validates HCCs against MEAT (Monitor, Evaluate, Assess/Address, Treat) criteria in real time and flags OIG high-risk ICD-10 codes. Targets health plans and providers needing audit-defensible documentation and concurrent/retrospective HCC validation.
• Claims Assistant Gap analysis tool that processes claim files to suggest HCC codes which may have been billed by other providers, helping providers achieve a complete 360-degree view of prior-year patient encounters and improving expected claims accuracy.
• Inferscience Healthcare API Enterprise/partner-facing healthcare API that enables payers and third-party vendors to integrate Inferscience's HCC coding analysis into their own systems, supporting interoperability via FHIR and delivering JSON-formatted analysis results in seconds.

Quantifiable outcome

• 35% average RAF score improvement
• +5 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability9 records

Feature8 records

Partnerships

Seven partnerships are on record, tiered minor and core.

• VBC Exhibit HallminorGTM or Marketing Partner · 19 May 2026Partnership for joint webinar hosting on risk adjustment topics. VBC Exhibit Hall co-hosted the 'Risk Adjustment in 2027: What's Changing and What to Do Now' webinar with Inferscience.
• EpiccoreTechnology or IntegrationEHR integration partnership enabling Inferscience's HCC coding solutions to operate natively within Epic workflows, including precision analytics that create targeted review tasks in Epic billing work queues.
• athenaOnecoreTechnology or IntegrationIntegration with athenaOne EHR system allowing Inferscience solutions to surface HCC coding opportunities directly in provider workflows on the athenaOne platform.
• VeradigmcoreTechnology or IntegrationEHR integration with Veradigm platform enabling Inferscience's risk adjustment and HCC coding tools to function within Veradigm's healthcare IT environment.
• ElationcoreTechnology or IntegrationPartnership integrating Inferscience solutions with Elation EHR system for point-of-care HCC coding and risk adjustment support.
• eClinicalWorkscoreTechnology or IntegrationIntegration with eClinicalWorks EHR platform enabling Inferscience's AI-powered HCC coding tools to function within the eClinicalWorks workflow environment.
• CernercoreTechnology or IntegrationEHR integration partnership with Cerner (Oracle Health) allowing Inferscience solutions to analyze patient data and provide HCC coding recommendations within the Cerner platform.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• Optum: Optum (UnitedHealth Group) is a broad incumbent in risk adjustment and HCC coding, offering analytics, coding, and RADV audit tools used by most Medicare Advantage plans. It is comparable as it targets the same payer and provider HCC/RAF workflow that Inferscience addresses, but at vastly greater scale and as part of a much larger services portfolio.
• Solventum (3M Health Information Systems): Solventum, formerly 3M HIS, is the dominant incumbent in medical coding, HCC grouping, and risk adjustment methodologies (including the APR-DRG and HCC logic used by CMS). It is comparable as it embeds HCC editing and risk adjustment workflows inside payer and provider IT environments — the same clinical-decision-support category Inferscience competes in.
• Health Catalyst: Health Catalyst is a healthcare analytics and outcomes platform used by health systems and payers, including for risk and quality performance. It is comparable as a broader incumbent in healthcare data analytics and value-based care measurement, an adjacent capability to Inferscience's Quality Assistant and RAF optimization.
• Cotiviti: Cotiviti provides payment accuracy, risk adjustment, and quality analytics to health plans and retailers. It is comparable as a broader incumbent offering HCC/RAF editing and RADV audit support, directly overlapping with Inferscience's payer-side HCC Validator and Claims Assistant offerings.

Direct peers

• CodaMetrix: CodaMetrix uses AI/NLP to automate medical coding across inpatient and ambulatory settings. It is comparable as a direct competitor to Inferscience's HCC Assistant, focused on AI-driven clinical coding and risk adjustment accuracy in provider workflows.
• AKASA: AKASA applies AI to healthcare revenue cycle workflows including coding, prior authorization, and payer-provider data automation. It is comparable as a direct competitor addressing AI-driven clinical coding and risk adjustment workflows for providers and payers, similar to Inferscience's HCC Assistant.
• Anterior: Anterior is an AI clinical decision support company focused on reducing prior authorization denials and risk-adjustment friction for payers and providers. It is comparable as a direct competitor in AI-powered payer-provider data exchange and clinical coding workflow automation.
• Cohere Health: Cohere Health offers AI-driven risk adjustment, UM, and care management solutions for health plans and providers. It is comparable as a direct competitor in payer-provider risk-adjustment and quality workflow automation, the same category Inferscience sells into with health plans and ACOs.

Emerging players

• Cedar: Cedar is a healthcare financial experience and AI patient engagement platform used by providers and payers. It is comparable as an emerging player touching payer-provider data flows and consumer-facing clinical workflows, although its primary focus is patient financial experience rather than risk adjustment coding.
• Qventus: Qventus applies AI to hospital operations including care transitions, utilization, and clinical workflows. It is comparable as an emerging AI healthcare workflow company with overlapping EHR integration and clinical-decision-support themes, though it focuses more on operations than HCC risk adjustment.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• YouTubeyoutube.com/@inferscience1390
• Xx.com/inferscience
• Facebookfacebook.com/infera2016
• LinkedInlinkedin.com/company/inferscience

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Inferscience, Inc