Divya Thakur (Founder, Yardbot)

Engineering & simulationso much more productive today than you could just honestly last year

The founder uses LLMs to accelerate front-end and back-end software development, noting that productivity for routine coding tasks has increased significantly compared to the previous year.

“The place where it's actually been incredible to use LLMs in the in the sort of the in that part of the AI is obviously programming. So, you know, when it comes to front-end software development, even back end … you can be so much more productive today than you could just honestly last year.”

Engineering & simulation

The founder uses LLMs to perform sentiment analysis on customer communications (phone calls, texts, emails) to identify unhappy customers and predict churn risk.

“How about how about we do a sentiment analysis on every um every phone call text and email coming from every customer every single day, so we know by the end of the day which customers are the most happy or most unhappy, and use that to build a model to see which one's most likely to churn…”

Engineering & simulation

The team uses computer vision systems on the robots' cameras to detect obstacles like hoses on the ground to prevent damage and costly repairs.

“So on the computer vision side, this is where I kind of learned some things at Cruise. You know, how can we use our cameras to detect things like there's a hose on the ground or you know, like uh there's there's a dog toy in the city.”