Getting meaningful feedback from non-technical stakeholders on artificial intelligence (AI) models while they’re still in development is painful.
For example, in healthcare, AI teams need feedback from clinicians to prove that their solution meets the gold standard, and that it could actually be useful in a clinical setting, in order to get regulatory approval and bring it to market. Today, getting this feedback is inefficient, clunky, and error-prone.
At Glowstick, we are making the process of (1) sharing in-progress AI model results, (2) gathering meaningful feedback, and (3) using that feedback to iterate models easy for AI teams and delightful for their stakeholders.
We are already working with heads of AI at healthcare companies around the world, and as we expand across industries, we’ll be poised to become the de facto collaboration platform for outcome-driven AI.