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Amazon Nova vs Flatiron Health AI

A direct comparison using the real catalog fields currently available for both products.

Last updated July 24, 2026

Tool A

Tool B

Amazon Nova

Amazon Web Services

Flatiron Health AI

Flatiron Health (Roche)

Overview

Rating

—

Amazon Nova best for

AWS-native enterprise AI inference

Cost-efficient high-volume AI inference

Multimodal document processing

AWS data residency AI

Cost-optimised AI at scale

Flatiron Health AI best for

Oncology drug development and regulatory submissions

Real-world evidence for pharmaceutical research

Cancer centre quality improvement

Treatment pattern analysis

Post-market surveillance studies

Pricing

Starting price

FreeBest value

Free

Pricing model

Usage-based

Enterprise

Free plan

Free trial

Pricing notes

Pay-as-you-go via Amazon Bedrock. Nova Micro $0.035/M input tokens. Nova Lite $0.06/M. Nova Pro $0.80/M. Nova Premier (premium, higher pricing). No free tier but AWS free tier includes Bedrock credits.

Enterprise licensing to pharmaceutical companies and cancer centres. No public pricing. Subsidiary of Roche.

Capabilities

Best for

AWS-native enterprise AI inferenceCost-efficient high-volume AI inferenceMultimodal document processingAWS data residency AICost-optimised AI at scale

Oncology drug development and regulatory submissionsReal-world evidence for pharmaceutical researchCancer centre quality improvementTreatment pattern analysisPost-market surveillance studies

Target audience

AWS ML engineersEnterprise architects on AWSCloud-native developersData scientists using BedrockEnterprises with AWS data requirements

Pharmaceutical oncology teamsRegulatory affairs scientistsCancer centre medical directorsClinical research organisationsHealth economists

AI type

Generative AI

Document Analysis LLM

Modalities

TextImageVideoCode

TextDocumentData

Technical

Model provider

Amazon Web Services

Flatiron Health

Model names

Nova MicroNova LiteNova ProNova Premier

—

API available

✓

Open source

Deployment

SaaSAPI

EnterpriseSaaS

Platforms

WebAPI

Integrations

Amazon BedrockAWS LambdaSageMakerS3AWS servicesAPI

EHR systemsClinical data systemsRegulatory submission toolsAPI

Team collaboration

Trust & security

Security

AWS security standards. SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. HIPAA eligible. AWS enterprise compliance certifications.

HIPAA compliant with BAA. SOC 2 Type II. GDPR compliant for EU deployments. IRB approval for research datasets. FDA-accepted data quality standards.

Privacy notes

Amazon processes model inference data under AWS's comprehensive data handling policies. Models accessed via Bedrock benefit from AWS's zero data retention for inference option.

Patient health data processed under strict HIPAA BAA and applicable research ethics frameworks. De-identification and IRB protocols govern research dataset access.

Verdict

Pros

AWS-native alternatives to Claude and GPT-4o simplify compliance for AWS data residency requirements
Tiered pricing from $0.035/M tokens for Nova Micro enables cost optimisation for different use cases
Bedrock integration provides unified API for switching between Nova, Claude, Llama, and Titan models
FedRAMP authorisation covers US government and regulated industry deployment requirements

9 million+ patient oncology database is one of the most comprehensive real-world oncology datasets available for pharmaceutical research
FDA-accepted real-world evidence from multiple regulatory submissions provides unmatched regulatory validation
NLP curation of clinical notes extracts structured data inaccessible through structured EHR data alone
Roche ownership provides stability and pharmaceutical partnership pipeline

Cons

Newer models with less established benchmark performance than Claude 3 or GPT-4o
Enterprise adoption will take time to build the community resources and integration ecosystem
First-party bias: AWS marketing of Nova may oversell capabilities relative to third-party alternatives

Roche ownership creates potential conflict of interest concerns for pharmaceutical competitors as data partners
Real-world evidence database access requires partnership agreements limiting accessibility
Clinical note NLP accuracy requires ongoing validation — structured EHR data remains more reliable for some variables