Making it easy to standardize AI/ML model documentation

Verify your organization builds trustworthy AI

Compliance Management

Ensure AI systems comply with internal governance policies and regulatory requirements, such as the EU AI Act, by maintaining thorough documentation and audit trails.

Automates the documentation process, capturing detailed information about AI model development, data sources, and decision-making processes. It provides an organized repository of compliance-related data and audit trails, allowing governance teams to easily manage and retrieve documentation for regulatory reviews and audits.

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Manage Risk

Minimizes the potential for non-compliance and associated legal issues.

Automates the time-consuming task of documentation.

Simplifies the audit process with organized and accessible documentation.

Building trust with transparent AI

Enhance the transparency and documentation of AI models to meet ethical standards and build trust with internal stakeholders and customers.

Generate documentation of AI models, providing visibility into decisions, insights into data sources and algorithms. Allows governance teams to create transparent reports and visualizations that communicate how models operate and make decisions to both technical and non-technical audiences

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Build Trust

Builds trust with internal stakeholders and customers by clearly presenting how AI models operate.

Enhances brand reputation by showcasing a commitment to responsible and ethical AI practices.

Increases the accountability of AI systems through detailed documentation.

Seamless integration into CI/CD pipelines

Put in place AI governance tools into existing CI/CD pipelines to streamline the development process and ensure compliance without disrupting existing workflows.

Integrates with existing CI/CD pipelines, allowing governance teams to implement AI-specific tooling without interfering with the modeling team's workflow. This integration ensures that AI governance measures are applied consistently across all stages of the model lifecycle, from development to deployment.

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Efficiency

Integrate AI governance tools without requesting extra work or asking the team to change their processes.

Automatically collect evidence and documentation without requiring additional work from the team.

Easily scale governance practices as AI projects grow in complexity and scope.

Document Legacy AI/ML Models

Document existing python or R, AI models that lack proper documentation, especially when original developers are no longer available, using validation library and professional services.

Enables organizations to document legacy AI models effectively using the validation library combined with professional services. This service helps identify missing documentation elements and fill gaps, ensuring compliance and providing a comprehensive understanding of existing models.

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Manage Risk

Capture and complete missing documentation for legacy AI models, ensuring a full understanding of existing systems.

Reduce the risk associated with undocumented models by providing clear insights into their functionality and status.

Achieve cost savings of up to 70% compared to attempting documentation internally or hiring another third-party service, thanks to Vectice's automation capabilities.