Giskard

Giskard is a company dedicated to ensuring the quality, security, and compliance of AI models. Their platform, built for AI professionals, automatically detects performance, bias, and security issues in AI models. This eliminates the need for manual testing and writing custom evaluation reports, allowing AI teams to focus on building better models. Giskard offers both an open-source Python library for data scientists to integrate into their development environments and an Enterprise platform for collaborative AI Quality, Security & Compliance at scale.

Giskard is committed to responsible AI innovation and has received significant funding from the European Commission and Bpifrance. Their work has been recognized by Gartner and they are actively involved in shaping the future of AI standards through their inclusive community focused on AI Quality, Security, and Compliance.

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Giskard AI's mission is to empower companies to build and deploy trustworthy AI models by providing a comprehensive, open-source platform for AI testing, auditing, and quality assurance. We equip data scientists and engineers with the tools and resources they need to identify and mitigate biases, security vulnerabilities, and performance issues in their AI models, ensuring responsible and ethical AI development and deployment. Our goal is to foster a future where AI is not only innovative but also reliable, robust, and beneficial to all.

Giskard promotes a culture of responsible innovation, collaboration, and continuous learning. They value passion for building robust solutions, being driven by customer needs, and striving for excellence in user experience. The company emphasizes the importance of good engineering practices and being conscious of technology's role in society. Their inclusive community encourages team players to share best practices, create new tests, and shape the future of AI standards together.

Giskard's approach to diversity, equity, and inclusion (DE&I) centers around the idea that responsible AI development requires a broad and diverse range of perspectives. We believe that building inclusive AI teams, comprised of people with different backgrounds, experiences, and expertise, is essential for creating robust, ethical, and effective AI models. Giskard fosters an inclusive environment by promoting open source collaboration, supporting the participation of underrepresented groups in AI development, and actively working to address biases in AI models through rigorous testing and analysis. We strive to be a leader in the responsible development of AI, ensuring that its benefits are accessible to all.