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Medisight AI

Advanced agentic automation for compliant healthcare.

health AIdigital healthmedtechclinician decision support
StageNo funding
Raised$0
Founded2024
Employees3
LocationUnited States, US
Valuation$1,700,000

About

Physicians are overworked, reviewing records for 15-30+ patients daily—labs, medications, histories, imaging. It's overwhelming. We built AI that automatically aggregates patient data and interprets lab results in context of each patient's complete health profile, delivered as a concise report in Epic. No workflow disruption. This makes precision medicine actually scalable—tailored interpretation for each patient, not population averages. We've achieved 94%+ accuracy in cardiovascular disease prediction, and 97%+ accuracy in diabetes across multiple datasets (pending publication) . The key is earlier disease detection, which is where real healthcare cost savings happen. Physicians save time, patients get personalized care, health systems reduce costs.

Product

Value proposition
Agentic clinical platform that transforms laboratory and EHR data into personalized, longitudinal insights with doctor-friendly, literature-grounded decision support and automated workflows.
Target customers
healthcare teams in hospitals/clinics using EHRs, healthcare organizations
Regulatory
Not FDA-cleared diagnostic device; enterprise EHR integration; regulatory pathway described as non-FDA-cleared

Founders

  • Roland Probst — Chief Executive Officer
  • Bikal Lamichhane — Co-Founder, Chairperson Of The Board

Products

My AssistantMy PatientsMy RecordsMy LabsMy ColleaguePlatformAgentic automation workflowsTORAG-powered literature retrievalClinical decision support with IHL mentions (HL7/FHIR integration)Shared data layer for real-time chart sync

Key features

Personalized longitudinal baselinesNatural-language search across full recordReal-time chart summariesAutomated multi-step workflowsAudit trails and provenance for AI outputsEHR integration via HL7/FHIRReference-backed outputs with source linksEvent-driven, Kafka-backed async processingLiterature-grounded retrieval system (TORAG)Shared data layer across agentsPopulation-independent insights (personal baselines)Retrieval and escalation pathways for clinician review

Technologies

HL7/FHIRKafkaTORAGAI-assisted decision supportEHR integrationNatural language processingKnowledge-grounded retrievalAudit trailsmulti-tenant cloud architecture

Integrations

Epic (HL7/FHIR)EHR systemsPlatform.medisight.aiMedisight platform interfaces

Certifications

HIPAA-alignedHIPAA compliancemulti-tenant architecture

News

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Profile updated Jul 12, 2026. Sources: medisight.ai, platform.medisight.ai, calendly.com

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