Long before Boris Valkov helped build SaaS software to detect lost revenue opportunities, his journey began in his family’s grocery store, where he was answering phone calls. At that time, he was just a kid learning how much a single phone call could matter and how tone, timing, and trust could make or break a sale. This experience stuck with him.
When he became an AI engineer, working for companies like VMware and Meta, he started to look for ways to combine AI with personal touches. At Meta, Valkov helped build PyTorch, the machine learning library now powering everything from self-driving cars to large language models. But even amid the evolution of generative AI and foundation models, something didn’t sit right with him. He realised that there is a massive gap in the indus
Translucent AI Targets Financial Pain Points of Healthcare Providers
Mukundan Sivaraj
