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Our mission is to help companies, governments, and organisations develop and deploy responsible AI ecosystems. Put simply, we help you deliver transparent, accountable AI services that people can trust.

Our vision for the future is one where people, organisations and smart systems are connected through openness, sharing, dialogue, and new forms of cooperation.




We enable trustworthy algorithmic systems by improving the transparency and accountability of AI. Our service allows organisations to cooperate in creating transparent AI systems built on a foundation of accountability. We connect our customers and their partners through an ecosystem of services, standards and certificates to validate their intelligence system’s trustworthiness.

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Saidot is a first-of-its-kind algorithm shepherd and cat herder. A duality that is challenging for any enterprise; it is an AI transparency platform that shepherds stakeholders through the maze of algorithm impact and gathers ways for them to collaborate on machine and human accountability.
Gisele Waters, Ph.D
Founder, Engineering Hearts™
“Computer supported anticipative intelligence is increasingly being used for decision-making that impacts people’s lives. Due to their complexity, for such algorithmic applications and systems to earn the trust of their users and the public, we must provide certified processes that can ensure that the systems are dependable, explicable and - as far as possible- unbiased."
Dr. Ing. Konstantinos Karachalios
Managing Director IEEE Standards Association
"Ensuring the ethical and responsible development of AI is one of the essential tasks for the coming decades. Both technical and non-technical solutions are urgently needed. I am happy to say that Saidot contributes to both; their innovative technological solution provides the concrete means to tackle the challenge with a great and ethically-aligned team and culture."
Juho Vaiste,
University of Turku, Turku AI Society
"Saidot’s visionary AI identity management platform allows responsible organisations to collaborate on gathering data on how their algorithmic systems work, thus providing the critical means for transparency,accountability and implementation of ethics certifications into practice."
Dr. Ing. Konstantinos Karachalios
Managing Director IEEE Standards Association
“Saidot's platform has the potential to address some of the biggest challenges in accountability and governance of machine learning systems.  Responsible and ethical development of AI systems is now a priority, and Saidot's platform helps demystify how to introduce it in practice. This is why The Institute for Ethical AI & Machine Learning is a supporter of this great initiative.”
Alejandro Saucedo
Chief Scientist, The Institute for Ethical AI & Machine Learning

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