What basys.ai does

basys.ai is a Cambridge, Massachusetts-based healthcare AI company founded in 2022 that builds an enterprise-grade agentic AI platform for prior authorization, utilization management, and payment integrity workflows. The platform uses a multi-agent architecture combining generative AI, large language models, and natural language processing to ingest prior authorization requests from EHRs, faxes, and provider portals; perform medical-necessity matching against payer policies; and output approval/denial decisions with explainable reasoning and audit trails. It is trained on more than 10 million patient records including Mayo Clinic data, is HIPAA-certified and HL7 FHIR/DaVinci-compliant, and supports containerized local deployment for data sovereignty. The company also operates a Provider AI Copilot to reduce documentation burden and a Basys-INFER module for proactive Fraud, Waste & Abuse detection that was selected as a national finalist in CMS's Crushing Fraud, Waste & Abuse Challenge.

The company sells primarily through enterprise SaaS subscriptions to health plans, payers, healthcare providers, and federal program contractors, with quote-based annual contracts and no publicly disclosed pricing. Its go-to-market is sales-led and field-sales-driven, supplemented by strategic channel partnerships with MedeAnalytics (payer analytics), Smart Data Solutions (clearinghouse integration), and ePathUSA (CMS AI Medical Record Review pilot prime contractor). It has also joined the NCQA AI in Healthcare Working Group to shape standards for trustworthy clinical AI, contributing to its regulatory positioning and federal procurement credibility. Backed investors include Nina Capital, Eli Lilly & Co., Mayo Clinic, and AriseHealth, with total disclosed funding of approximately $2.4 million in a 2023 seed round plus a 2024 Healthworx Accelerator award.

The company is founder-led by Harvard alumni Amber Nigam (CEO) and Jie Sun (co-founder/COO), with Srinidhi Moodalagiri as CTO, John L. Brooks III (formerly of Insulet and Joslin Diabetes Center) as CCO, and Arpan Saxena as CIO. Its strategic advisory bench is unusually deep for an early-stage company: Dan Roth (Oracle Chief AI Scientist) chairs the Scientific Advisory Council, and strategic advisors include Sachin Jain (SCAN CEO), Ruth Williams-Brinkley (former CEO of CommonSpirit and Ascension), James Roosevelt Jr. (former Tufts Health Plan president and ACA co-author), and Beth Ginzinger (BCBS Arizona transformation lead). The company has received Gartner 2025 Hype Cycle for U.S. Healthcare Payers recognition, CMS FWA Challenge finalist status, Rock Health Top 50 Digital Health Builder recognition, and Harvard Business Review editorial features.

Name

basys.ai

Legal name

basys.ai

Website

https://basys.ai

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

11–50 employees

Short description

basys.ai builds an agentic AI platform that automates prior authorization, utilization management, and fraud detection for health plans, providers, and federal healthcare programs, using LLMs and NLP trained on 10M+ patient records including Mayo Clinic data.

Ownership category

akta.pro rank

Product category

Healthcare AI Prior Authorization and Utilization Management

NAICS

Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG)

akta.pro secondary industries

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Medical Imaging AI (HDAAAEAH)

Keywords

• Prior authorization automation
• Utilization management software
• Healthcare AI platform
• Fraud waste abuse detection
• Risk adjustment coding

Headquarters

HQ city

Cambridge

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Enterprise SaaS Subscription for Payers: Recurring enterprise software licensing/subscription sold to health plans and payers to automate prior authorization and utilization management workflows. Quote-based, enterprise contract model with success metrics including 5x lower administrative cost, 95% faster turnaround, and 93% automated approvals.
2. Provider AI Copilot Solution: Subscription-based AI copilot for providers that surfaces prior authorization requirements, reduces documentation time, and lowers appeal rates. Sold as an enterprise solution supporting the provider workflow.
3. Fraud, Waste & Abuse (FWA) Detection Module: Basys-INFER multi-agent AI platform sold as a standalone FWA detection capability to payers and federal program integrity teams (e.g., CMS via ePathUSA).
4. Risk Adjustment and HCC Coding Automation: Capability that reviews member charts to identify missed HCC codes, validating against CMS regulations; sold as part of the enterprise platform offering to health plans.

Pricing tiers

Go-to-market motion4 records

Distribution channels4 records

Marketing channels8 records

Core offering

basys.ai provides an enterprise-grade, HIPAA-certified agentic AI platform that automates prior authorization, utilization management, payment integrity, fraud/waste/abuse detection, and risk adjustment coding for U.S. health plans, provider systems, and federal healthcare programs. The platform ingests requests from EHRs, faxes, and portals; performs medical necessity matching, evidence correlation, and approval/denial decisions; and exposes a Provider AI Copilot alongside payer modules including a branded Basys-INFER FWA detection platform. Built on HL7 FHIR-compliant APIs, generative AI, NLP, and computer vision, and trained on more than 10 million patient records including Mayo Clinic data, with explainable decisions, full audit trails, and human-in-the-loop oversight.

Product overview

basys.ai offers a single unified enterprise-grade agentic AI platform for healthcare, anchored around Prior Authorization and Utilization Management and extended through a set of integrated modules. The core platform is the basys.ai Agentic AI engine, which delivers Prior Authorization automation for payers (Payer Solutions) and an AI Copilot for providers (Provider Solutions). Built on top of this core platform are two named modules: (1) Utilization Management AI, which handles concurrent review, discharge planning, length-of-stay optimization, and retrospective audit, and (2) AI-Powered Fraud, Waste & Abuse Detection (branded as Basys-INFER), a multi-agent platform for proactive FWA detection in claims and prior authorization workflows. The same payer-facing surface also exposes Risk Adjustment (HCC coding with RAF optimization) and Medical Necessity/Care Management capabilities. The platform is HIPAA certified, HL7 FHIR-compliant with an API-first architecture, runs in a secure containerized environment, and targets payers, providers, and federal healthcare programs (CMS).

Differentiator

Problem solved

Functional benefit

Brands

• Basys-INFER: Multi-agent AI platform for detecting wasteful medical services, recognized as a CMS finalist in the Crushing Fraud, Waste, and Abuse Challenge.

Products and services

• Payer Prior Authorization and Utilization Management Solution End-to-end enterprise AI platform sold to health plans (commercial, Medicare Advantage, Medicaid, ACA) that ingests prior authorization requests from EHRs, faxes, and portals; performs real-time medical necessity matching against patient charts and policy requirements; outputs approval/denial decisions with evidence documentation and compliance audit trails. Includes risk adjustment / HCC coding automation and medical necessity/care management modules. Reported metrics: 5x lower administrative cost, 95% faster turnaround, 93% automated approvals.
• Provider AI Copilot for Prior Authorization Provider-facing AI assistant that analyzes payer policies and patient conditions to identify required documentation for approval, reducing denials and documentation time, and lowering appeal rates. Human-in-the-loop oversight ensures providers retain control while AI acts as a supportive copilot. For hospitals, health systems, and physician groups.
• Utilization Management AI AI module that streamlines concurrent and retrospective review by understanding clinical context, reducing unnecessary admissions and denials. Capabilities include concurrent review automation, discharge planning assistance, length-of-stay optimization, and retrospective audit support.
• Basys-INFER AI-Powered Fraud, Waste and Abuse (FWA) Detection Multi-agent AI platform that proactively identifies potential fraud, waste, and abuse in healthcare claims and prior authorization workflows. Includes intelligent pattern detection, real-time risk scoring, policy-aware analysis, and automated insights and explanations. Sold to payers and federal program integrity teams.

Quantifiable outcome

• 98% clinical accuracy of automated decisions
• +8 more outcomes

Named customers1 record

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability12 records

Feature7 records

Partnerships

Seven partnerships are on record, tiered flagship federal channel partner, core commercial partner, flagship standards-body partnership, minor channel partner, minor media partner, academic affiliation and minor clinical partner.

• ePathUSAflagship federal channel partnerStrategic or Co-development Partner · 23 March 2026Partnership with ePathUSA, the prime contractor for the CMS Artificial Intelligence Medical Record Review pilot. basys.ai contributes its agentic AI infrastructure for healthcare workflows and Fraud, Waste, and Abuse detection to augment human reviewers in interpreting medical records, analyzing documentation, and supporting auditable review processes. Announced March 23, 2026.
• MedeAnalyticscore commercial partnerStrategic or Co-development Partner · 8 December 2025Strategic partnership announced December 8, 2025 to transform healthcare utilization management and improve MLR (Medical Loss Ratio). The collaboration integrates MedeAnalytics' advanced analytics with basys.ai's agentic AI to enhance decision-making and optimize operational workflows across various payer lines.
• National Committee for Quality Assurance (NCQA)flagship standards-body partnershipStrategic or Co-development Partner · 17 June 2025basys.ai joined the NCQA AI in Healthcare Working Group to help shape national frameworks for trustworthy, clinically sound AI. basys.ai will contribute across clinical appropriateness/evidence-based alignment, operational timeliness, fairness/equity/bias mitigation, and user experience. Announced June 17, 2025 from Cambridge, MA.
• Smart Data Solutionsminor channel partnerChannel Partner/ Reseller/ Distributor · 9 June 2025Featured in Fierce Healthcare sponsored article (June 2025) for tackling the prior authorization challenge using basys.ai's agentic AI. Smart Data Solutions integrates basys.ai into its payer-facing solutions.
• Fierce Healthcareminor media partnerGTM or Marketing Partner · 9 June 2025Sponsored article featuring Smart Data Solutions' use of basys.ai for prior authorization. Fierce Healthcare serves as a marketing/PR distribution channel to amplify basys.ai's positioning in payer transformation.
• MIT (Massachusetts Institute of Technology)academic affiliationStrategic or Co-development PartnerMIT logo is displayed on basys.ai's homepage in the "Backed by" section, and MIT-affiliated experts including Heather Mattie (Harvard/MIT biostatistics) and Leo Anthony Celi (MIT Lab of Computational Physiology) serve as Strategic Technology Advisors. Co-founders are Harvard and MIT alumni in medical and data science.
• Joslin Diabetes Centerminor clinical partnerStrategic or Co-development PartnerPartnership referenced in basys.ai's "Silos Deconstructed" blog post as one of the renowned institutions enabling effective communication across payers, providers, and pharmaceutical companies. Connects basys.ai to diabetes clinical expertise; CCO John L. Brooks III previously led Joslin Diabetes Center.

Scale indicators14 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Cohere Health: Cohere Health is a leading AI-powered prior authorization platform for health plans, offering intelligent utilization management and provider-network decision support. It is the most direct head-to-head competitor to basys.ai's payer PA and UM solution.
• Xsolis: Xsolis applies AI to utilization management and clinical decisioning for payers and providers, automating medical necessity review and length-of-stay optimization. It directly competes with basys.ai's Utilization Management AI module.
• Anterior: Anterior is an AI clinical intelligence platform that automates prior authorization and clinical review for health plans, focusing on reducing denial rates and clinician burden. It competes with basys.ai's agentic PA solution for payer customers.
• Infinx: Infinx provides AI-driven prior authorization, eligibility, and revenue cycle management software for hospitals and physician groups. Its provider-side PA and AI automation overlap directly with basys.ai's Provider AI Copilot and payer PA offerings.
• Alaffia Health: Alaffia Health uses AI to detect fraud, waste, and abuse in healthcare claims and prior authorization workflows for payers. It is the closest direct competitor to basys.ai's Basys-INFER FWA detection module.
• AKASA: AKASA builds AI for healthcare revenue cycle operations, including prior authorization, claims, and patient access for health systems and payers. It competes with basys.ai across PA automation and adjacent RCM workflows.
• Olive AI: Olive AI built an AI platform for healthcare process automation spanning prior authorization, claims, and supply chain for hospitals and payers. Despite operational turbulence, it remains a category reference point competing with basys.ai's agentic automation thesis.

Broad incumbents

• Waystar: Waystar is a large, established healthcare revenue cycle and prior authorization platform serving thousands of hospitals and payers. It competes broadly with basys.ai's PA/UM offering as part of a much wider RCM portfolio.
• Experian Health: Experian Health offers prior authorization, eligibility, and identity management solutions as part of its broader healthcare data and RCM portfolio. It is an incumbent alternative for payer and provider PA automation.

Others

• Edifecs: Edifecs provides healthcare data interoperability, payment integrity, and value-based care software for payers and providers. It is an adjacent enabling technology provider whose interoperability and payment-integrity footprint overlaps thematically with basys.ai's FHIR-native PA and FWA offerings.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• YouTubeyoutube.com/watch?v=9yMNsKeHcF4
• LinkedInlinkedin.com/company/basysai
• Xx.com/AiBasys

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles13 records

Funding overview

Funding rounds2 records

Investors8 records

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 basys.ai