AI-powered precision medicine, genomic testing, and clinical data analytics
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Tempus is a precision medicine company that uses AI and large-scale clinical data analysis to support cancer treatment decisions, drug development, and clinical research. It combines genomic sequencing, digital pathology, EHR data, and machine learning models to provide actionable insights to oncologists, health systems, and pharmaceutical companies. The platform operates globally across 50+ countries and has recently expanded into digital pathology through its acquisition of Paige.
Pros
One of the largest multimodal clinical datasets combining genomics, imaging, and EHR data
FDA-cleared AI products (ECG-Low EF software) add regulatory credibility
Generative AI co-pilot (David) integrates directly into hospital EHR systems like at Northwestern Medicine
Cons
No publicly available pricing — requires enterprise-level sales engagement
Primarily focused on oncology, limiting utility for non-cancer healthcare applications
Complexity of offerings may be overwhelming for smaller clinics or independent practitioners
Best for:Oncologists, health systems, and pharma companies needing genomic data-driven insights
Clinical AI solutions turning medical data into actionable insights for healthcare providers
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Aidoc is a clinical AI platform for hospitals and health systems that analyzes medical imaging and clinical data to flag critical findings, prioritize worklists, and coordinate care teams across radiology, cardiology, neurovascular, and vascular specialties. Deployed in over 1,600 hospitals with 17 FDA clearances, it integrates with existing healthcare IT infrastructure through its proprietary aiOS operating system.
Pros
Most FDA clearances (17) of any clinical AI company, covering multiple specialties
Integrates with existing PACS, EHR, and VNA systems via standard protocols with minimal IT effort (2-3 weeks deployment)
Covers 75% of patient population across radiology, cardiology, neurovascular, and vascular service lines
Cons
Enterprise-only pricing with no self-service option, requiring sales consultation
Primarily focused on acute care and imaging—not suited for outpatient-only or non-imaging clinical needs
Requires healthcare IT infrastructure (PACS, EHR) to function, limiting use outside hospital settings
Best for:Hospitals and health systems seeking FDA-cleared AI to accelerate clinical workflows
AI medical scribe that saves clinicians 2+ hours daily on clinical notes
From $59/mo
Freed is an AI medical scribe that listens to patient-clinician encounters and automatically generates clinical notes, which can be pushed directly to EHR systems. It supports specialty-specific templates, learns individual clinician documentation preferences, and provides features like ICD-10 coding and patient instruction generation. Used by over 20,000 clinicians across 1,000+ health organizations, it is HIPAA-compliant with end-to-end encryption and no audio retention by default.
Pros
Purpose-built for clinicians rather than adapted from general transcription tools
Learn my format feature adapts to individual clinician documentation styles over time
No audio retention by default with HIPAA-compliant U.S.-based infrastructure and no PHI used for AI training
Cons
Starter tier lacks EHR push, Learn my format, and ICD-10 coding — core features most clinicians would need
Pricing starts at $39/month annually and goes up to $119/month, which adds up for multi-provider practices without group pricing
Shared patients feature is still in alpha, limiting multi-provider collaboration
Best for:Clinicians and medical practices wanting to eliminate after-hours charting
AI-powered healthcare and speech recognition solutions, now part of Microsoft
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Nuance, now part of Microsoft, provides AI-driven healthcare solutions for clinical documentation and radiology, as well as Dragon speech recognition software for general productivity. It primarily serves healthcare professionals and knowledge workers who need accurate speech-to-text and AI-assisted workflow tools.
Pros
Backed by Microsoft's cloud infrastructure, security, and long-term investment
Deep specialization in healthcare AI, including clinical documentation and radiology
Dragon speech recognition has decades of refinement and high accuracy for professional use
Cons
No transparent public pricing; requires contacting sales or going through Microsoft channels
Product lines are transitioning to Microsoft branding, which may cause confusion about current offerings
Primarily enterprise-focused, not designed for casual or individual consumer use
Best for:Healthcare professionals and knowledge workers needing speech-to-text solutions
Enterprise-grade AI for clinical conversations in healthcare
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Abridge is an enterprise healthcare AI platform that listens to patient-clinician conversations and automatically generates structured, billable clinical notes integrated into EHR systems like Epic. It is deployed at major health systems including Mayo Clinic, Kaiser Permanente, Johns Hopkins, and Duke Health, serving clinicians, nurses, and revenue cycle teams across multiple specialties and care settings.
Pros
Deep Epic EHR integration from Haiku to Hyperdrive, enabling use without leaving the EHR
Proven at scale with major health systems like Mayo Clinic, Kaiser Permanente, and Johns Hopkins
Linked Evidence feature ties AI-generated outputs to source data for auditability and compliance
Cons
Enterprise-only pricing with no self-serve or individual clinician plans available
Primary EHR integration is with Epic; support for other EHRs (Cerner, Athena, etc.) is less clear
Not suited for small practices or independent clinicians without enterprise-scale needs
Best for:Large healthcare systems seeking AI-powered clinical documentation at scale
AI-powered ambient clinical intelligence for healthcare documentation
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Suki is an ambient clinical intelligence platform that listens to patient-clinician conversations and automatically generates clinical documentation, patient instructions, and orders. It integrates with major EHR systems across 100+ medical specialties and is designed to reduce administrative burden so clinicians can focus on patient care.
Pros
Supports 100+ medical specialties with specialty-specific documentation
Works across all major EHR systems with direct note syncing
Available on desktop, iOS, and Android for flexible use in various care settings
Cons
Pricing is not publicly disclosed, requiring contact with sales team
Primarily designed for healthcare organizations, not individual practitioners looking for simple tools
Limited publicly available information about specific accuracy rates or technical methodology
Best for:Clinicians and health systems looking to automate clinical documentation
Ambient AI medical scribe for clinical documentation and coding
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DeepScribe is an ambient AI medical scribe that automatically documents clinician-patient conversations into structured, specialty-specific clinical notes and syncs them to EHR systems. It is particularly strong in oncology, serving roughly 40% of all cancer visits in the U.S., and includes AI pre-charting, automated coding, and deep customization capabilities for individual clinician preferences.
Pros
Deep specialization in oncology with oncology-specific AI models and workflows
Bi-directional EHR integration with major platforms including Epic, athenahealth, and oncology-specific EMRs
Context-aware notes that pull forward past visit data, labs, imaging, and medications automatically
Cons
Pricing is not transparent — requires contacting sales, suggesting enterprise-level costs
Limited EHR integration list — may not support smaller or niche EHR systems
Heavily focused on oncology; other specialties may not receive the same depth of AI tuning
Best for:Healthcare organizations and clinicians seeking to reduce documentation burden
AI-powered pathology to improve patient outcomes and drug development
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PathAI provides AI-powered digital pathology solutions for biopharma companies and anatomic pathology laboratories. Its AISight platform enables case management, image management, and deployment of AI algorithms for histopathology analysis, biomarker discovery, drug development, and clinical diagnostics. The platform has received FDA clearance for primary diagnosis and serves major biopharma companies and hospital systems worldwide.
Pros
FDA-cleared platform (AISight Dx) for primary diagnosis, with FDA-qualified AI tools for clinical trials
Largest menu of out-of-the-box pathology algorithms covering oncology, immunology, and inflammation
Backed by 450+ board-certified pathologists and 32.5M+ annotations for rigorous AI training
Cons
Enterprise-only pricing with no self-service or transparent pricing tiers available
Highly specialized for pathology — not applicable outside healthcare/life sciences use cases
Some products remain designated 'Research Use Only' and are not cleared for diagnostic procedures
Best for:Biopharma companies and pathology labs needing AI-driven tissue analysis
AI-powered care coordination platform for faster diagnosis and treatment
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Viz.ai is a healthcare-focused AI platform that uses over 50 FDA-cleared algorithms to analyze medical imaging and auto-detect suspected diseases across neurology, cardiology, vascular, trauma, and radiology. It coordinates care teams in real time to reduce delays between diagnosis and treatment, targeting hospitals, health systems, and life sciences companies.
Pros
Over 50 FDA-cleared AI algorithms covering multiple therapeutic areas
Real-time mobile and desktop alerts enable rapid care team coordination
Dedicated 24/7 clinical support staff and customer success resources
Cons
No public pricing — requires contacting sales, likely expensive for smaller facilities
Primarily focused on hospital/enterprise use, not suitable for individual clinicians or small practices
Implementation requires workflow assessment and integration with existing hospital systems
Best for:Hospitals and health systems seeking AI-driven disease detection and care coordination
