17 NYC startups to know
Health & Clinical AI
Clinical operations, payer workflows, patient communication, healthcare payments, and AI front-office products.
Why this category matters
Healthcare AI breaks out when it reduces administrative drag while keeping clinicians, payers, and patients inside trusted workflows.
Startups to know in Health & Clinical AI
Submit a startupAnterior automates clinical workflows for health plans, including prior authorization, payment integrity, and risk adjustment
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Voice agents for healthcare communications
Clarion builds AI front-office agents for healthcare practices, handling patient calls, scheduling, referrals, prescriptions, and administrative workflows within existing clinical systems.
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Eligibility automation for behavioral health
Sohar Health is an AI-driven front-end revenue cycle management solution that automates insurance verification for healthcare providers with 95% automation, 6-second median latency, and 99% eligibility accuracy.
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Healthcare payments operations for clinics
Camber is a healthtech startup transforming healthcare payments by reducing administrative burden on clinics and families.
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AI support for navigating health benefits
Granted provides AI-native healthcare solutions with autonomous, end-to-end agentic systems that reason over insurance and billing workflows for navigating health benefits, disputing denials, and helping consumers access care.
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The patient-clinician conversation can anchor clinical and financial workflows, capturing useful context during care instead of reconstructing it afterward
Abridge turns clinical conversations into documentation and care intelligence, connecting clinicians’ workflows with coding, reimbursement, and evidence-based treatment inside health systems.
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AI denial management for healthcare providers
Amperos builds AI agents for insurance collections, helping healthcare providers investigate denials, follow up on claims, and recover unpaid revenue.
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Bevel turns wearable and health data into personalized AI-powered health insights
Bevel combines wearable measurements, health records, and personal context in an AI health coach that helps people understand patterns and make daily decisions.
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AI infrastructure for psychiatric care
Blossom Health builds an AI-native psychiatry platform, using language models and workflow automation to support clinicians, patients, and the operations behind mental healthcare.
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AI operations for housing and healthcare
EliseAI automates housing and healthcare operations with conversational agents that handle leasing, resident communications, scheduling, intake, and other workflows in one integrated system.
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Jimini Health builds AI-backed infrastructure for mental health care delivery
Jimini develops clinician-supervised AI infrastructure for behavioral health providers, helping care teams support patients between visits while retaining professional oversight.
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AI revenue recovery for healthcare providers
Joyful Health combines an AI claims engine with revenue-cycle specialists to resolve unpaid healthcare claims, explain denials, and prevent recurring revenue losses.
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Clinical AI infrastructure connected to health systems
K Health integrates AI patient intake, medical-record-based answers, and clinical orchestration into health systems, connecting digital engagement with licensed clinicians and longitudinal care.
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Clinical AI should fit established care workflows, converting conversations and dictated notes into documentation without pulling clinicians away from patients
Nabla embeds ambient documentation, medical dictation, and coding support into clinical workflows, helping health systems reduce administrative work around patient encounters.
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AI guidance for employee health and wealth
Nayya connects health and financial benefits data to guide employee decisions, identify overlooked coverage, and help people take action on benefits throughout the year.
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Physical AI for patient monitoring and care rounds
Norbert develops investigational AI modules for care robots, combining contactless sensing, contextual memory, and clinical documentation to support monitoring and routine patient rounds.
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Keep every patient moving through referral-based care
Tennr uses purpose-built language models to process referral documents, verify coverage, and coordinate patient intake, helping providers resolve paperwork before care is delayed.
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