The Power of the Platform In Your Own Hands

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Accelerate your AI Strategy
dbflowChartbarChartbubbleChart supercharges bio/medtech firms’ AI validation and development efforts via its compliant AI Factory connected to a proprietary data and expert network.
Experience the power of’s unique technology platform in your own environment.
Ideal for companies who want to:
  • Combine’s technology with their own data and/or annotators
  • Scale up and streamline their AI development
  • Not letting regulatory compliance impede the pace of AI development
  • Speed up AI lifecycles for use in clinical trials and/or clinical decision making
Facilitates rapid feedback from non-data scientists
Multi-Modal’s platform was designed for use with multiple modalities. We have most experience with imaging, since it accounts for 85% of FDA approvals. But you can use other modalities with our platform
Tracking, tracing, transparency on 3 levels: model, data, and validation runs. Make your regulatory and quality teams your friends!
AI Lifecycle Management
AI models are dynamic learning systems and so should your tools be! Gesund's platform can be used upstream and downstream from FDA approval. One platform, no matter where you are in your AI life cycle
Air-gapped or Cloud Deployment
  • Can be deployed anywhere
  • Bring models to data and data to models
  • No 3rd party managed service dependency
Gateway to proprietary data and reader services
  • BYOData - whether stored in the cloud or on-prem
  • Tap into’s network of data partners in the US and abroad
  • Gesund has annotator networks for R&D and FDA-approvals (pivotal studies)
No-code for multi-disciplinary collaboration
  • Data science teams can solicit feedback faster from SMEs, project owners
  • Project owners can orchestrate everything - data, annotators, biostats - in one environment
  • Maintain alignment among engineers, clinicians, subject matter experts, regulatory/quality professionals as models evolve version to version
Regulatory compliance
  • Auto-generated audit trails and version control
  • GMLP compliance
  • Automated report writing. Reports ready to include in FDA submission
  • Repository of decisions made, versions used, changes, etc.
End-to-end AI lifecycle
  •’s platform, data, and annotators can be used for training, validating, and monitoring/revalidating (post-FDA approval) of your AI models
  • Gesund’s origins are in AI Validation but our customers use our platform and partner networks for use cases that range from drug discovery and clinical development to applying novel AI to/in diagnostic processes
  •’s platform removes friction of collaboration, which enables clinicians and SMEs to stay engaged during more stages of the AI Lifecycle
  • Once in the market, your AI model is likely to experience drift and potential bias that you did not anticipate, if you had to work with small or biased data sets. Even in a post-launch setting can help you detect these problems and help you retrain and revalidate your AI
for External Validation
Want to know more about our validation service?