AICentralResources
AI Tool Comparison

Comparing as AI Medical Research & Clinical Decision Support
Viz.ai vs Freed AI

Viz.ai

Viz.ai

VS
Freed AI

Freed AI

Verdict by Category

Detailed category analysis is not available for this comparison.
View Viz.ai View Freed AI

Detailed Comparison

Feature
Viz.ai
Freed AI
Pricing
CustomViz.ai operates exclusively on custom enterprise contracts with hospitals, health systems, and imaging networks. There is no published pricing or self-serve access. Pricing is negotiated based on hospital type, imaging volume, number of conditions covered, and multi-site deployment needs. Viz.ai's Medicare NTAP designation provides hospitals with an additional reimbursement of approximately $1,040 per qualifying patient encounter, partially offsetting platform costs. Contact Viz.ai through viz.ai to schedule a demo and begin enterprise procurement discussions.
PaidFreed publishes clear, tiered pricing, unlike some enterprise-focused competitors that require a sales call. The AI Scribe has four tiers: Starter at $39/month (billed annually) or $59/month (billed monthly) for 1 clinician and up to 40 notes/month; Core at roughly $59-79/month for unlimited notes and Clinical Evidence; Premier at $104/month (annual) or $119/month (monthly) for the full suite including EHR push, dictation, and ICD-10/CPT coding; and custom Groups pricing for multi-clinician clinics with admin dashboards, SSO, and volume discounts. Freed Front Desk, the separate AI receptionist product, starts at $149/month per block of 250 calls. All AI Scribe plans include a 7-day free trial with no credit card required, and residents, students, and trainees can get the Core plan free through Freed's pilot program.
Categories
AI Healthcare ToolsAI Research & Education Tools
AI Healthcare ToolsAI Productivity ToolsAI Chatbots
Summary
AI care coordination platform for stroke, PE, and aortic disease — FDA-cleared algorithms alerting care teams in minutes
Affordable AI medical scribe and front desk for independent clinics, starting at $39/month
Viz.ai

Viz.ai Pros & Cons

Pros

  • 12 FDA-cleared algorithms — broadest acute-condition AI portfolio in its class
  • Medicare NTAP reimbursement pathway — unique among AI imaging platforms
  • 44% reduction in DIDO times for stroke patients — peer-reviewed clinical evidence (ISC 2026)
  • 1,000+ hospital deployments across U.S. and Europe
  • Backed by Google Ventures, Kleiner Perkins, and Tiger Global — $289M raised
  • Simultaneous mobile alerts to full care team — no phone-tag delays
  • Expands from neurology to cardiology and pulmonology in one unified platform

Cons

  • Enterprise-only pricing — no self-serve or small clinic access
  • No published pricing — all contracts are custom
  • Primarily focused on acute/time-sensitive conditions — not general radiology reads
  • Requires integration with existing hospital imaging infrastructure
  • Implementation and onboarding take time for large multi-site systems
Freed AI

Freed AI Pros & Cons

Pros

  • Transparent, published pricing starting at $39/month, unusually clear for the AI medical scribe category
  • Purpose-built for independent and small-to-midsized clinics rather than enterprise health systems
  • Combines scribing, cited clinical Q&A, and coding suggestions in one affordable tool
  • High reported accuracy (98% recall on medical terms) and accessible US-based human support
  • New Front Desk product extends the same AI to patient calls and messaging, not just documentation
  • 7-day free trial with no credit card required, plus free access for residents and students

Cons

  • No native EHR API write-back for most systems; EHR push works only with browser-based EHRs, not deep two-way integrations like Epic or Oracle Health
  • Front Desk is still in beta with a waitlisted 'Advanced' tier, so scheduling and insurance verification aren't yet automated
  • Higher tiers (Premier, Groups) are needed to unlock EHR push, coding, and multi-user features, which adds up for growing clinics
  • Built for browser-based, ambulatory workflows, so it's a weaker fit for large hospital systems already standardized on Epic or Cerner
  • Audio is only temporarily retained during processing, so there's no persistent recording to fall back on after a note is finalized