THE COMPARISON / A CLOSER LOOK

Glass AI vs Regard

Compare the listed plans, useful capabilities, and practical tradeoffs.

Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.

Glass AI

🟡Low Code

AI Development Assistants

Clinical decision support AI that assists healthcare professionals with differential diagnosis, medical knowledge search, and evidence-based clinical reasoning.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Freemium

Regard

Clinical AI

Regard maps EHR data to clinical concepts, recommends diagnoses with supporting evidence, and powers documentation, revenue, HCC, and screening workflows.

SOURCE-CHECK COVERAGE

No scoped source-check record shown. Check current pricing and vendor terms before buying.

Starting Price

Custom enterprise pricing; exact starting price not public

Feature Comparison

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FeatureGlass AIRegard
CategoryAI Development AssistantsClinical AI
Pricing Plans3 listed plans1 listed plan
Starting PriceFreemiumCustom enterprise pricing; exact starting price not public
Key Features
  • • Ambient AI scribing
  • • Differential diagnosis generation
  • • Clinical decision support
  • • EHR ingestion and mapping to clinical concepts
  • • Diagnosis recommendations with supporting evidence
  • • Clinical note generation with diagnostic context

Glass AI - Pros & Cons

Pros

  • ✓Bundles ambient scribing and clinical decision support in one subscription, replacing what would otherwise require two separate tools (typically $150-$400/month combined)
  • ✓Pro tier at $90/month is competitive against standalone AI scribe products and includes unlimited usage of both scribing and decision support
  • ✓Available on iOS, Android, and web, letting clinicians capture encounters on a phone in the exam room and review notes from a desktop later
  • ✓Evidence-based diagnostic suggestions are grounded in current medical literature, helping clinicians consider comprehensive differentials for atypical or complex presentations
  • ✓Educational value for medical residents and students — the structured problem-representation-to-differential workflow mirrors how clinical reasoning is formally taught
  • ✓Max tier ($200/month) adds direct EHR integration so AI-generated notes flow into the chart without copy-paste

Cons

  • ✗Restricted to licensed healthcare professionals — patients and non-clinical users cannot access the platform for self-diagnosis or general health questions
  • ✗Specialty depth varies: well-suited to general internal medicine, family medicine, and emergency medicine, but may underperform on rare diseases or narrow subspecialties (e.g., advanced oncology subtypes, rare genetic disorders)
  • ✗EHR integration is gated behind the $200/month Max tier — Pro users must still copy notes manually into their charting system
  • ✗Output quality is bounded by the quality of clinician input: incomplete histories or vague problem representations produce weaker differentials
  • ✗HIPAA and institutional compliance review is typically required before clinics can deploy ambient scribing on real patient encounters, adding rollout friction

Regard - Pros & Cons

Pros

  • ✓Reviews broader EHR context than an ambient scribe alone.
  • ✓Can support both clinical and administrative workflows.
  • ✓Surfaces evidence behind recommended diagnoses.
  • ✓Vendor publishes concrete case-study outcomes for evaluation targets.

Cons

  • ✗Pricing requires a sales process and full implementation quote.
  • ✗Clinical and coding errors can create patient and financial harm.
  • ✗Published outcomes may not generalize to every health system.
  • ✗Deployment requires extensive EHR integration, validation, and governance.

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🔒 Security & Compliance Comparison

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Security FeatureGlass AIRegard
SOC2——
GDPR——
HIPAA——
SSO——
Self-Hosted—❌ No
On-Prem——
RBAC——
Audit Log——
Open Source—❌ No
API Key Auth——
Encryption at Rest——
Encryption in Transit——
Data Residency—Not publicly specified in the provided content
Data Retention—Not publicly specified in the provided content
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