Endor, MIT Spinoff Startup, Raises $5M Seed Round to Break Through AI

Most organizations today aspire to use predictive analytics, artificial intelligence, and machine learning to influence customer behavior and improve business performance. Unfortunately, the process for becoming a "predictive organization" is broken from both a technical and an organizational standpoint. It requires "Unicorns:" Well trained, expensive, rare data scientists and PhDs who are hard to hire and retain. Those teams then invest roughly six months on average cleaning data and building machine learning models, and then have to maintain those models as they degrade over time. Whenever products and consumer behavior change, the models break and need to be re-written.