Decision Support · Side-by-side

Deep Genomics vs Tempus. Side by side.

Compare pricing, strengths, and use cases so it is easier to pick the right fit.

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Deep Genomics

Tempus

Best overall

Neither Deep Genomics nor Tempus is built for everyday users—they are enterprise-grade platforms for specialized medical and genomic research. Deep Genomics wins for deep drug discovery and RNA-targeted design, while Tempus is better for clinical diagnostics and trial matching. The single biggest difference is that Deep Genomics focuses on early-stage therapeutic development, whereas Tempus integrates directly with hospital systems to guide patient treatment.

Deep Genomics

#4200 of 3,826 Web

Tempus

#2440 of 3,826 Web

Scores at a glance

Deep GenomicsTempusPractical Versatility

Onboarding Ease

Ecosystem Fit

Market Value

Choose Deep Genomics if

You are a pharmaceutical company designing antisense oligonucleotide therapies for rare genetic diseases
You have a team of computational biologists and access to large genomic datasets (FASTA, VCF, BAM)
You need to predict RNA splicing effects of non-coding variants with high accuracy
You are willing to enter a multi-step strategic partnership with no upfront pricing transparency

Choose Tempus if

You are a hospital or cancer center looking to match patients to clinical trials using genomic and clinical data
You have an existing EHR system and can integrate Tempus One for data exchange
You need AI-powered diagnostic reports that combine pathology images, genomic profiles, and ECG data
You are a researcher generating real-world evidence from de-identified patient records

Key differences

Deep Genomics is for early-stage drug discovery; Tempus is for clinical treatment and trial matching
Deep Genomics requires raw genomic files (FASTA, VCF); Tempus works with clinical records and images
Tempus integrates with hospital EHR systems; Deep Genomics has no integrations listed
Deep Genomics focuses on RNA-targeted therapeutics; Tempus covers broader oncology diagnostics
Neither has a mobile app or public API, so both are inaccessible to everyday users
Pricing for both is unpublished and enterprise-only—no free tier or self-service option

Facts side by side

	Deep Genomics	Tempus
Free plan
Mobile app
API access

Deep Genomics: strengths & weaknesses

Unmatched accuracy for predicting effects of non-coding genetic variants
End-to-end drug design from variant to ASO candidate
Proven partnerships with top pharmaceutical companies
No mobile app, no API, no public pricing—completely inaccessible to individuals
Requires specialized genomic data (FASTA, VCF, BAM) and a team of biologists
Proprietary models with limited transparency make it hard to evaluate independently

Tempus: strengths & weaknesses

Integrates genomic, clinical, and imaging data into one platform
AI-powered clinical trial matching can save time for oncologists
Real-world evidence generation helps refine treatment recommendations
No mobile app, no public API, and pricing is opaque—enterprise-only
Steep learning curve and complex setup (requires EHR integration)
Data privacy concerns when sharing patient records with a third party

Common questions

Can I use Deep Genomics or Tempus on my phone?

No. Neither tool has a mobile app. Both are enterprise platforms accessed via web portals or direct partnerships.

Which tool is better for a small clinic or individual doctor?

Neither is suitable. Tempus is designed for large hospital systems with dedicated IT teams, and Deep Genomics is for pharma R&D. Small clinics should look at simpler clinical decision support tools.

Is Deep Genomics better than Tempus for finding clinical trials?

No. Tempus is specifically built for clinical trial matching. Deep Genomics does not offer trial matching—it focuses on drug design.

How much do Deep Genomics and Tempus cost?

Both have unpublished pricing. You must contact their sales teams and likely sign an enterprise contract. There are no public plans or free tiers.

Can I upload my own DNA data (like from 23andMe) to these tools?

No. Deep Genomics requires specialized formats like VCF and BAM from whole-genome sequencing. Tempus requires clinical-grade genomic profiling and EHR integration. Consumer genetic data is not supported.

Deep Genomics and Tempus are powerful but inaccessible to everyday users—both are enterprise-only, lack mobile apps, and have opaque pricing, making them irrelevant for non-specialists.

If you are a regular person or small business, skip both of these—they are enterprise-only tools for specialized medical and genomic research. For everyday AI needs, look at consumer-friendly options like ChatGPT or Claude. If you work in a hospital or pharma, Tempus is the more practical choice for patient-facing decisions, while Deep Genomics is better for early-stage drug design.

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Detail pages: Deep Genomics · Tempus

Deep Genomics

Tempus

Free plan

Mobile app

API access