Trustworthy AI Responsible AI AI Governance Bias & Fairness
Develop and operate AI products and services in a new regulated environment
An holistic approach to Responsible AI Governance
Trusted by
What to expect from good AI governance?
Early investment in strong AI governance enables organizational and process changes needed to deliver responsible AI-based products and services
-
Worldwide Relevance
We offer the leading and most promising AI frameworks
-
AI Governance operationalized
We translate regulatory frameworks into actionable guidance for data scientists
-
Fair & Accurate AI
We help identify and mitigate biases to build fair and accurate AI applications
-
Auditability & Traceability Biases
We provide comprehensive audit trails, reinforcing trust and accountability in AI
The Value of Responsible AI
Responsible AI is a key cornerstone for effective AI governance. We assist you in establishing best practices for responsible AI that seamlessly comply with regulatory requirements
-
Trust
Developing responsible AI demonstrates a commitment to ethical practices, fostering trust among customers, partners, and stakeholders. It enhances an organization's reputation as a socially conscious and responsible entity.
-
Regulatory Compliance
Adhering to ethical guidelines and regulatory requirements ensures legal compliance, mitigating the risk of penalties or legal consequences. It safeguards the organization's operations and reputation.
-
Risk Mitigation
By addressing data quality issues and biases, responsible AI reduces the potential for unintended consequences and harmful impacts. This mitigates risks associated with biased outcomes, discriminatory practices, or negative public perception.
-
Competitive Advantage
Organizations that prioritize responsible AI gain a competitive edge by differentiating themselves as leaders in ethical and trustworthy AI practices. This can attract customers, partners, and top talent who value ethical considerations.
Testimonials
Modulos is pivotal to UniverseTBD's mission, integrating essential AI governance principles like ethics, transparency, and fairness into our AI exploration. Modulos's support ensures our AI-driven initiatives adhere to high ethical standards and advance our goal of democratising science. Our partnership mirrors my belief in bridging rigorous research with responsible innovation and purposeful excellence.
Dr. Ioana Ciucă
Universe TBD / ANU
You plan to develop an AI-based application for diagnosis or therapy and you are looking for valid guidance in the dynamic EU AI regulation jungle? Kevin Schawinski and the team of Modulos AG is a strong recommendation, we had the pleasure to learn from him at one of our Healthcare Shapers LiveTalks.
Dr. Ursula Kramer
CEO, sanawork Gesundheitskommunikation
“At OCAS, Modulos provided considerable added value to our own digital efforts. In just two months, we analyzed several complex datasets and built well-performing ML models.”
Manager Metallurgic Department
OCAS NV
“We are on the threshold of an entirely new astrophysical discovery space unlocked by machine learning, and Modulos AutoML has been transformative at Harvard in opening doors to this new frontier”
Dr. Grant Tremblay
Astrophysicist, Harvard & Smithsonian
"Modulos enabled our subject matter experts to quickly explore the possibilities of machine learning.”
Martin Heuschkel
CTO, INFORS AG
"We have been using Modulos AutoML in our research group and it is working extremely well, making it much easier for anyone to carry out ML projects, even without a strong CS background."
Prof. Ezequiel Treister
Astrophysicist, PUC Chile