Safety & Trust for Artificial Intelligence

The platform for testing, auditing and certifying AI.

Who we are?

We’re pioneers in trustworthy and responsible AI technologies. Our team consists of AI researchers, ML engineers & software developers to serve you in all aspects. We strive to maximize the benefits of AI by providing proper tooling for testing, auditing and certifying AI systems.

What we do?

We help you establish trust for your AI by objectively validating and auditing your AI systems. Our tools bring all the stakeholders together and provide ready-made templates for risk assessments and AI auditing. Our platform certify AI systems, even in an automated manner.

Validaitor Platform

AI Auditing & Testing

VALIDAITOR offers a rich set of ready-to-run tests to evaluate an AI system holistically. Validaitor enables to automate the tests to be run every time a new AI model is developed. It works like a CI/CD tool and requires minimal integration and adoption overhead.


VALIDAITOR offers ready-made yet customisable assessment templates for AI regulations and standards. With its collaboration and approval mechanisms, Validaitor provides the easiest way to make AI quality and risk assessments.

Continuous Compliance

VALIDAITOR lets you stay in compliance with the AI regulations. Our platform runs automated tests on your AI models and get the compliance checks and reports from these tests automatically.

Subscribe to our newsletter to get the latest updates from us!

Latest News

Godot and Validaitor Announce Joint PoC to Develop Bias-Free AI

Godot and Validaitor Announce Joint PoC to Develop Bias-Free AI

In a landmark collaboration, Godot GmbH, the European R&D arm of Godot Inc., a Japanese startup dedicated to fostering positive behavioural change, and Validaitor, a spin-off from the Karlsruhe Institute of Technology (KIT) focused on AI quality assurance, have announced a joint Proof of Concept (PoC). This initiative is committed to advancing the development of…

We won the second prize on the final pitch day of the SpeedUpSecure

We won the second prize on the final pitch day of the SpeedUpSecure

Last Thursday was the closing day of the breath-taking accelerator (SpeedUpSecure) of the StartUpSecure ATHENE. With the pitches of the 10 visionary start-ups, the event was a blast! And we’re grateful to the jury members for giving us the second place in the pitch competition! We thank everyone involved in the organisation. We thank Carlina Bennison and the team at Technical…

Quality Assurance for ML

We partner up with you to ensure that your AI systems are safe, fair, robust and compliant.

We’re on a mission to keep AI secure and trustworthy.

AI is revolutionary. AI is transformative. AI is used in many high-risk application areas that concern human safety and security. We enjoy the capabilities of the modern AI systems. BUT…

AI systems are vulnerable to adversarial attacks. They can be hacked easily. They can leak private information and they can be biased as well. Being aware of the problems is the first step in fixing them. We took that step and moved further to establish trust in AI.

We specialize in bringing trust to the AI applications and systems. We establish a broader vision to AI quality by bringing security, safety, privacy and robustness analysis into the reach of the ML practitioners.

We combine cutting-edge AI research with practical industry experience.

Our research and engineering teams strike a sweat balance between the research and industry. We take state-of-the-art methods and techniques from research and distill them for the practitioners by taking applicability and practicality into account.

We know your pain, we were there.

We’re not setting up academic playgrounds. We’re coming from right in the middle of the industry and we suffered from the same pains and problems. That’s why we’re cracking the barriers of ML testing and quality assurance.

Join us!

We’re constantly looking for ambitious people to shape the future of responsible AI together. Have a look at our careers page!

Proudly Supported By