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A whitepaper outlining a legally assured methodology to assess a candidate recommender system under European regulation

AI is complex. Testing it shouldn’t be. Ensure high quality throughout the AI lifecycle with our AI testing technology. Understand and trust the behavior of all your AI systems through rigorous testing for unintended biases, robustness, and other critical performance metrics.

While companies race to adopt AI, most fail to achieve scale and value out of the technology. Our CEO provides guidance on how to adopt a universal AI governance strategy that works.

This article was featured in the BSI issue 04/2025 of "Datenschutz und Datensicherheit" (Data Protection and Data Security). It discusses the complexities and challenges in testing AI systems, proposing an approach to design test scenarios and tests for standardized yet customizable assessment

How can companies strengthen trust in AI systems? Juliane Musil, Partner at BearingPoint, and Dorothea Gotthardt, COO of QuantPi, talk about this in an interview with Business Punk.

Join us for an introduction into cutting-edge methods to scalably and rigorously test AI systems. Learn to accelerate development, increase transparency, and build trustworthy AI, regardless of what type of AI models you’re developing (LLM, computer vision, classical ML, agentic AI etc.).

An interview with QuantPi CEO and Co-Founder Philipp Adamidis was featured in Forbes' CIO newsletter, discussing how to promote transparency, achieve high quality AI deployments and the importance of AI testing throughout the AI lifecycle.

In the Global AI Assurance Pilot led by the AI Verify Foundation, QuantPi evaluated the real-world system behaviour of Unique’s Investment Research Assistant across seven LLM capabilities. The report summarizes the approach, challenges, and results of the test Implementation

Read the key learnings from our panel discussion with experts from the Federal Office for Information Security (BSI), Deloitte and SKAD where we explained the effects of the EU AI Act.

Violet AI partnered with QuantPi to secure AI quality assurance, utilizing a proactive compliance management tool and a testing engine for comprehensive RAG system validation

Learn more about how insurance companies can benefit from AI governance and key success factors to be considered during implementation.

Learn more about how organizations can manage risk and gain control when procuring third-party AI blackboxes.

Join Prof. Dr. Jilles Vreeken, Dr. Shea Brown and Philipp Adamidis as they discuss tough future-focused questions about the progress of AI and what this means for AI governance.

The success of artificial intelligence depends largely on whether it gains people's trust. Companies therefore need a governance strategy that takes equal account of organizational and technological aspects.

Join us for this exclusive webinar with Dr. Cari Miller, author of the "Risk Management Framework for Procuring AI Solutions". Moderated by QuantPi's Nicole Sweet.

AI governance is the key to the responsible and successful use of AI. Companies that establish clear ethical guidelines, transparency and continuous monitoring strengthen their innovative power and the trust of their customers and partners.

QuantPi secures a prestigious €2.5 million grant from the European Innovation Council (EIC) to expand its AI Trust Platform to generative AI.

Join Dr. Ulrich Kleipaß and Dr. Clemens Frey as they share strategies on how to protect customers and efficiently manage AI risks. Moderated by QuantPi COO Dorothea Gotthardt.

What criteria does AI use to make a decision? This is not always transparent. QuantPi wants to help companies to disclose the risks of their AI systems.

Join Vera Sikes, Isabel Gadea and Felix Broßmann as they discuss the requirements, impacts, hurdles and chances which are presented by the EU AI Act.

Three out of four start-ups use AI - and therefore also have to deal with the EU's AI Act. Those who get it wrong could even be fined millions. So what should you do?

Join Artur Lidtke to learn more about why LLM guardrails matter and how they can be applied. Moderated by QuantPi's Nikhil Menon.

What technological options are now available to minimize the risks of AI, facilitate compliance with legal requirements and ensure ethical use?

Join Sebastian Mayer and Kentaro Ellert as they explore common challenges and best practices for effective AI auditing. Moderated by QuantPi's Lukas Bieringer.

Given the growing demand for KONUX’s solution, the KONUX team connected with QuantPi to accelerate AI testing.

Learn more about mathematician Antoine Gautier's journey to co-found QuantPi and his thoughts on how AI can be aligned with human values.

QuantPi contributed to Germany's AI Standardization Roadmap 2.0 that outlines a pathway toward future standardization of AI systems.

Join Tobias Schöps and Enrico Bosio as they present the QuantPi Starter Pack - how it supports EU AI Act compliance and offers a competitive edge for bao.

Join Tomas Chroust, Philipp Czech and Johanna Böcker, as they offer an introductory overview of how to approach AI responsibly. Moderated by QuantPi's Dorothea Gotthardt.

The responsible use of AI begins in the development phase, where questions of transparency, explainability, data protection and the origin of the training data must be clarified.

Join us as Bryan Ilg discloses how to leverage AI to not only boost your business, but also to build stronger customer relationships. Moderated by QuantPi's Luciana Correa.

Strict EU regulation and legal disputes pose major challenges for innovative medical apps and AI software. Read how you can remain a pioneer despite regulatory hurdles.

AI is being comprehensively regulated in the EU for the first time. With these tips, start-ups can utilize the regulations to their advantage and make better use of AI.

Join Luciana Correa and Dorothea Gotthardt to learn more about what a partnership with QuantPi offers System Integrators and Strategic Consultants.

We are thrilled to announce that QuantPi has raised €2,5 million in Pre-Seed funding, led by Berlin-based VC Capnamic.

The AI revolution is increasingly gaining momentum. However, many companies are not yet sufficiently prepared for the challenges. A viable AI governance strategy and the right technological tools are crucial.