Imagine if every new car had to be crash-tested by hand every single time a bolt was changed; it would take forever. This tool acts like an automated crash-test simulator for AI, quickly finding hidden glitches or unfair biases before the software reaches the customer. It ensures the AI behaves reliably and follows the law without needing engineers to check every line of code manually.
AI adoption is growing rapidly, but manual quality testing is too slow and costly for engineers. This creates a gap that leads to ethical biases, prediction errors, and cybersecurity risks in deployed models.
An open-source and SaaS platform for automated AI quality testing, including a specific compliance tool for the EU AI Act and scanners for LLM, NLP, tabular, and computer vision models.
If you are a financial services provider dealing with potential ethical biases in loan approval AI — this project developed an automated scanning platform that detects vulnerabilities and biases. This ensures your AI models remain fair and reliable for customers.
If you are a medical AI developer dealing with prediction errors in diagnostic tools — this project developed a quality assurance solution that automates testing and remediation. This reduces the risk of critical errors in patient care applications.
If you are an online retailer dealing with unpredictable Gen AI agents in customer service — this project developed an enterprise platform for scanning and testing these agents. This prevents cybersecurity risks and improves the customer experience.
Based on available project data, the solution is offered as both an open-source platform and a Software-as-a-Service (SaaS) model, though specific pricing tiers are not listed.
Yes, the project specifically developed an enterprise platform designed for scanning and testing Gen AI agents developed by large companies.
The project has secured 2 patents and provides a mix of open-source features and a proprietary SaaS platform.
Giskard developed a compliance platform specifically to assess whether AI development conforms to the EU AI Act.
It automates the Quality Testing, Inspection, and Remediation process, replacing manual testing methods that currently strain AI/ML engineers.
The project is led by a single French SME, Giskard AI, with a 100% industry ratio. This lean structure indicates a highly commercial focus, moving directly from development to market application without the slower pace of academic partnerships.
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