We’re building Veritas, an AI model designed to uncover bias in written content — from academic papers and policies to workplace communications. The goal is to make hidden assumptions and barriers visible, so decisions can be made with more clarity and fairness.

We just launched on Kickstarter to fund the next phase as we move into BETA testing: https://www.kickstarter.com/projects/axis-veritas/veritas-the-bias-detection-tool-for-everyone

Would love the HN community’s perspective: Do you see a need for this kind of model? Where do you think it could be most useful, and what pitfalls should we be careful to avoid?