AI, Breeding, and the Optimization of Insect Farming, with Adi Abada and Idan Aliagor
Description
In this episode, you will hear from Adi Abada and Idan Aliagor, both from FreezeM.
We discussed the challenges that first-generation insect farming companies faced — mainly, having to build everything from scratch. As Idan explained, trying to manage the entire value chain at once made it extremely difficult to optimize any individual segment. Today, the rise of specialized players like FreezeM signals a maturing market, where segmentation is finally taking place, much like in other established industries.
The central themes of our conversation were the cost and variability of substrates and breeding optimization.
Idan described how data-driven methodologies and AI-based prediction tools can help companies evaluate new waste mixes before committing to trials, opening the door to more diverse, lower-cost inputs.
In his own words:
“The real deal will be to handle waste streams that might be seasonal or imperfect but are financially sustainable.”
Since FreezeM works with many clients globally, the team has a unique perspective on the industry. We therefore discussed genetic strains, substrate portfolios, the early industry’s overly optimistic expectations — and the possibility of a coming renaissance.
As Adi concludes:
“You need to be excited, then disappointed — and from there, you can grow.”
Hosted on Acast. See acast.com/privacy for more information.
United States
