Again in 2015, when Mattias Muchnick was considering the imaginative and prescient for his new firm, he imagined constructing an AI-powered engine that might assist massive FMCG (fast-moving client items) manufacturers carry merchandise to market sooner.
Whereas Muchnick was enthusiastic about AI’s potential to remodel the meals business, few meals executives on the time shared his enthusiasm. Again then, solely giant tech corporations like IBM had experimented with synthetic intelligence—resembling utilizing Watson’s mainframe-powered AI for meals recipe improvement—however most meals business leaders didn’t view AI as a vital and even needed software for creating new merchandise.
Quick ahead to 2025, and also you’d be hard-pressed to discover a meals govt who doesn’t acknowledge AI as strategically essential. This shift undoubtedly explains why Muchnick and his crew attracted a packed room final week at Future Meals Tech, full of journalists, buyers, startup founders, and main meals manufacturers wanting to study in regards to the firm’s early success and management in meals AI.
Throughout the session, Muchnick and his crew highlighted their platform’s success (seven out of twenty high FMCG corporations have already collaborated with NotCo), mentioned the rising pattern of meals tech startups pivoting towards AI, and shared insights into future developments. Intrigued by the presentation, I made a decision to observe up with Muchnick afterward to discover these subjects additional.
In our subsequent interview, I requested Muchnick about the important thing classes he’s realized over the previous decade, his perspective—as a longtime pioneer in meals AI—on the rise of ‘AI-washing,’ and what improvements he’s most enthusiastic about transferring ahead.
You possibly can watch the complete interview under:
