Ethics in every commit, not just compliance reviews.

AI Ethics violations should be arrested before they are embedded in the code

Development teams face pressure to deliver AI solutions quickly, but ethical violations discovered late in the development cycle or

post-deployment can have catastrophic consequences. The IBM Watson for Oncology case study illustrates how bias in training data, an ethical concern, resulted in a loss of $50–60 million and transformed an innovation into a liability.

Our Solution- An AI Ethics Copilot that gives developers contextual ethics insights during development, replacing reactive audit tools with proactive guidance that informs better coding decisions from the start.