hipaa-compliant-ai
(5)
Synthpop - Healthcare AI
Synthpop is a Cambridge, Massachusetts healthcare AI company building agentic automation that eliminates administrative bottlenecks across payer, provider and patient operations. Its platform combines document intelligence, payer-aware reasoning and conversational voice agents into one coordinated system that automates as much as 80% of healthcare back-office processes - referrals, prior authorizations, eligibility checks and claims follow-ups - by integrating directly with EHR, billing and e-prescribe systems. Founded in 2023 by Elad Ferber and Jan Jannink, the company has raised $23M total, including a $15M Series A in February 2026.
Sully.ai
Sully.ai is a Mountain View healthcare technology company that builds a 'superhuman team of AI employees' for hospitals and clinics - autonomous AI agents that handle front-desk reception, triage, ambient clinical scribing, medical coding, prescriptions and clinical decision support. The agents plug into existing EHRs like Epic and Athenahealth, aiming to cut administrative load and clinician burnout while keeping documentation HIPAA-compliant. Founded in 2023 and backed by Y Combinator, the company reached seven-figure ARR within ten months and raised a ~$21.8M Series A in January 2025.
Notable Systems
Notable Systems is a Denver-based AI automation company that helps durable and home medical equipment (DME/HME) providers turn messy paperwork - faxed orders, handwritten referrals, degraded scans - into clean, billable claims. Its intelligent document processing and claims-validation tools combine OCR, NLP, machine learning and human-in-the-loop review to cut manual data entry, speed up order intake, and reduce claim denials, all under SOC 2 Type II and HIPAA-compliant controls.
WisdomAI
WisdomAI is a San Mateo-based enterprise software company building a new category it calls agentic analytics. Founded in 2023 by a team of former Rubrik engineers, its platform lets business users ask questions of their structured, unstructured, and even messy data in plain language. Rather than letting a language model write answers (where it might hallucinate), WisdomAI uses LLMs only to generate the queries that pull real data from warehouses like Snowflake, Databricks, and BigQuery. An Adaptive Context Engine governs metrics, definitions, permissions, and business logic so insights stay accurate and consistent. The company has raised $73M total and grown from two enterprise customers to roughly 40, including Cisco, ConocoPhillips, Patreon, and Descope.
Dyania Health
Dyania Health builds Synapsis AI, a medically trained large language model that reads unstructured electronic medical records - physician notes, pathology reports, imaging notes - and answers complex clinical questions with roughly 95% accuracy in under a second per record. Deployed inside health systems' own firewalls, the platform automates clinical trial pre-screening, chart abstraction, observational studies, and registry reporting, turning weeks of manual nurse and physician chart review into minutes. Founded in 2020 by former Morgan Stanley dealmaker Eirini Schlosser and headquartered in Jersey City with a team in Athens, the company raised a $10M Series A in 2024 and counts Cleveland Clinic among its earliest enterprise partners.