The Power of the Platform In Your Own Hands

Accelerate your AI Strategy

Gesund.ai 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 Gesund.ai’s unique technology platform in your own environment.

Ideal for companies who want to:
Combine Gesund.ai’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

Annotation Excellence

Utilize our ML-Native viewer, supported by board-certified readers and a comprehensive annotator management system.

Intuitive design for both non-technical clinicians and ML practitioners.

Engage in detailed annotation tasks including segmentation, object detection, classification, and both 3D and 2D annotation.

Accelerate your annotation process with semi-automated and pre-annotation features, coupled with rigorous annotator adjudication and access to a premium reader network.

Validation and Compliance

Assure accuracy with our advanced metrics, supported by export options in various formats for broader compatibility.

Maintain stringent quality control through audit trails, version control, and configurable FDA-ready accuracy metric generation.

Conduct thorough cohort analyses and comparisons across datasets, models, and cohorts to ensure your findings are robust and reliable.

Data Management

Access expertly curated data with the flexibility to use either your own data or data from Gesund.ai's partners, through on-prem or cloud storage buckets as well as PACS integration.

Easily create cohorts through ETL processes and choose between single or multimodal data types, including imaging (CT, MRI, X-Ray, etc.), real-world data (RWD), and more.

Opt for the convenience of moving models to data or vice versa, leveraging our comprehensive multi-modal support for your projects.

Model Development and Management

Deploy models effortlessly using Docker containers or API endpoints as well as local scripts and model checkpoints.

Initiate model training from scratch or utilize AutoML with customizable hyperparameters for optimal performance.

Benefit from the ability to retrain models using existing architectures, alongside stress-testing capabilities in our Playground environment for robustness assurance.

Annotation Excellence

Utilize our ML-Native viewer, supported by board-certified readers and a comprehensive annotator management system.

Intuitive design for both non-technical clinicians and ML practitioners.

Engage in detailed annotation tasks including segmentation, object detection, classification, and both 3D and 2D annotation.

Accelerate your annotation process with semi-automated and pre-annotation features, coupled with rigorous annotator adjudication and access to a premium reader network.

Validation and Compliance

Assure accuracy with our advanced metrics, supported by export options in various formats for broader compatibility.

Maintain stringent quality control through audit trails, version control, and configurable FDA-ready accuracy metric generation.

Conduct thorough cohort analyses and comparisons across datasets, models, and cohorts to ensure your findings are robust and reliable.

Data Management

Access expertly curated data with the flexibility to use either your own data or data from Gesund.ai's partners, through on-prem or cloud storage buckets as well as PACS integration.

Easily create cohorts through ETL processes and choose between single or multimodal data types, including imaging (CT, MRI, X-Ray, etc.), real-world data (RWD), and more.

Opt for the convenience of moving models to data or vice versa, leveraging our comprehensive multi-modal support for your projects.

Model Development and Management

Deploy models effortlessly using Docker containers or API endpoints as well as local scripts and model checkpoints.

Initiate model training from scratch or utilize AutoML with customizable hyperparameters for optimal performance.

Benefit from the ability to retrain models using existing architectures, alongside stress-testing capabilities in our Playground environment for robustness assurance.

Annotation Excellence

Utilize our ML-Native viewer, supported by board-certified readers and a comprehensive annotator management system.

Intuitive design for both non-technical clinicians and ML practitioners.

Engage in detailed annotation tasks including segmentation, object detection, classification, and both 3D and 2D annotation.

Accelerate your annotation process with semi-automated and pre-annotation features, coupled with rigorous annotator adjudication and access to a premium reader network.

Validation and Compliance

Assure accuracy with our advanced metrics, supported by export options in various formats for broader compatibility.

Maintain stringent quality control through audit trails, version control, and configurable FDA-ready accuracy metric generation.

Conduct thorough cohort analyses and comparisons across datasets, models, and cohorts to ensure your findings are robust and reliable.

No-Code

Maintain alignment among engineers, clinicians, subject matter experts, regulatory/quality professionals as models evolve version to version

Multi-Modal

Gesund.ai’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

FDA-Compliant

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

Flexible Deployment Options
- Gesund.ai offers versatile deployment capabilities, suitable for any environment, including air-gapped and cloud infrastructures.
- Our platform enables seamless integration of models and data, eliminating the need for third-party managed services.
Access to Exclusive Data and Annotator Services
- Bring Your Own Data (BYOData) for seamless integration, regardless of its storage location—PACS, cloud or on-premise.
- Connect with an extensive network of data partners and annotator networks across the United States and internationally, supporting research and development as well as FDA approval processes through Gesund.ai.
Streamlined No-Code Collaboration
- Enable rapid feedback loops between data science teams and Subject Matter Experts (SMEs) through an intuitive no-code interface.
- Facilitate comprehensive project management within a single platform, encompassing data management, annotator coordination, and biostatistics.
- Ensure consistent alignment across teams, including engineers, clinicians, SMEs, and regulatory professionals, as models progress through iterations.
Comprehensive AI Lifecycle Management
- Utilize Gesund.ai’s integrated platform for the complete AI lifecycle—training, validation, and post-FDA approval monitoring and revalidation.
- Originally focused on AI validation, Gesund.ai now supports a broad spectrum of applications, from drug discovery and clinical development to innovative AI diagnostics.
- Our platform fosters collaborative efficiency, engaging clinicians and SMEs across more stages of the AI lifecycle, and assists in identifying and correcting drift and bias in AI models post-launch.

Regulatory Compliance and Documentation

Automatically generate detailed audit trails and version control, ensuring GMLP compliance.
Simplify the FDA submission process with automated report generation, capturing all necessary decision logs, version histories, and modifications.

For External Validation

Want to know more about our validation service?