AI Tool Comparison
Comparing as AI Medical Research & Clinical Decision SupportTempus AI vs Nabla

Tempus AI
VS

Nabla
Verdict by Category
Detailed Comparison
Feature
Tempus AI
Nabla
Pricing
CustomTempus operates multiple revenue streams with different access models.
Clinical genomic tests (xT, xG, xR, xF, xE) are ordered by physicians through the standard laboratory test ordering process. Pricing varies by test type and is typically covered by insurance for oncology patients. Tempus works directly with health systems to integrate ordering into EHR workflows.
Enterprise data platform access, Algos population health analytics, and biopharma research partnerships are priced through custom enterprise licensing agreements. Biopharma companies license Tempus's de-identified patient datasets and analytical services for drug development and clinical trial design.
Tempus is publicly traded on NASDAQ (ticker: TEM) since June 2024. Investor and enterprise partnership inquiries can be directed through tempus.com.
FreemiumNabla does not publish exact pricing on its official website; the primary calls-to-action are a free trial (via app.nabla.com) and "Talk to our team" for enterprise sales. Third-party sources consistently report a free tier with usage limits, with paid individual/clinician plans starting around $119/month per provider and higher tiers reported near $239/month per provider. Larger health-system deployments — Nabla's core market, spanning 130+ organizations — are sold via custom enterprise contracts with volume-based pricing, with independent estimates placing typical enterprise rates in the $150-$400/month per provider range depending on scale, EHR integration depth, and features. Exact costs require a sales conversation with Nabla.
Categories
AI Healthcare ToolsAI Research & Education Tools
AI Healthcare ToolsAI Productivity ToolsAI Developer APIs & Platforms
Summary
AI precision medicine platform — genomic profiling, clinical insights, and trial matching for personalized cancer care
Ambient AI that turns patient visits into clinical notes, dictation, and coding — right inside the EHR
Tempus AI Pros & Cons
Pros
- Publicly traded (NASDAQ: TEM) — one of the most credible precision medicine AI companies
- 7M+ de-identified patient records — one of the world's largest clinical-molecular datasets
- Comprehensive genomic testing across 6 test types covering all major oncology applications
- Tempus One AI provides real-time clinical insights at the point of care
- TIME Trial dramatically improves clinical trial matching and enrollment rates
- 3,800+ employees and $8.79B total capital raised since founding
- Expanding beyond oncology into neuropsychiatry, cardiology, and infectious disease
Cons
- Enterprise and institutional pricing — not accessible to individual clinicians or small practices
- Focused primarily on oncology and genomics — not a general-purpose clinical AI tool
- Genomic test turnaround requires laboratory processing time
- Data platform access and licensing requires formal agreements
- Some AI insights require institutional genomic data infrastructure to fully leverage
Nabla Pros & Cons
Pros
- Fast note generation, roughly five seconds, that closely mirrors real clinical documentation in independent tests
- Deep native integration with Epic and other major EHRs rather than copy-paste workflows
- Broad specialty and language coverage suited to large, diverse health systems
- Strong compliance posture (HIPAA, SOC 2 Type 2, ISO 27001, GDPR) with configurable data retention
- Backed by peer-reviewed evidence, including a NEJM AI randomized trial showing documentation-time reductions
- Combines documentation, dictation, and coding in one platform instead of separate point tools
Cons
- Pricing isn't published; individuals and smaller practices must go through a sales conversation or rely on third-party estimates to budget
- Primarily built for hospitals and health systems, so solo clinicians and small practices may find it less tailored than SMB-focused scribes
- Relies on ambient recording, so encounters where a patient or clinician can't or won't be recorded aren't well supported
- Some independent reviews note limited customization and quality drop-off on complex, multi-problem visits
- Mobile app store ratings are mixed and based on a relatively small number of reviews compared to the platform's overall clinician base