We are building a responsible AI software platform to help you maintain compliance and embrace Responsible AI in your organization. Our team includes experts from the fields of machine learning, ethics, and law. Let us help you build fair and trustworthy machine learning applications.
of organizations view RAI as a key management issue*
have comprehensive RAI programs in place*
*According to the 2022 Responsible AI Global Executive Study and Research Project conducted by MIT Sloan Management Review and Boston Consulting Group
Our mission is to enable teams to start (or accelerate) their journey towards Responsible AI. Our goal is to offer a unified platform to help organizations build more trustworthy AI by embedding the principles of ethics into the entire development process.
AI and Machine Learning are powerful technologies that should be developed and leveraged.
We help you build models that are fair, interpretable, and of high quality.
Daiki integrates well with existing solutions and provides a holistic approach to ensure human-centered, ethical, and responsible AI development and operations.
In addition to GDPR, the gold standard of data protection, companies doing business in the EU will have to comply with the upcoming EU AI Act. The legislation’s underlying norms and values could eventually become a global standard.
Get ahead of the curve and be prepared for the upcoming EU AI Act by proactively addressing how you can implement Responsible AI.
While compliance is an important pre-requisite for quality software, it doesn’t necessarily ensure that your AI applications are ethically sound.
Our aim is to make ethical AI tangible with templates and step-by-step guidance to ensure that the principles of responsible AI are incorporated into your development process. Align your team, get management buy-in, and get back to building great products.