Serendipitously, Chandrasekaran chanced to fulfill a pair of good technologists with a long time of name middle expertise, Tod Well-known and Slava Zhakov, who shared the identical imaginative and prescient. Even higher, that they had already written a working prototype. They didn’t assume their very own business would get up earlier than it was too late. Crescendo was born.
AI that works with people
Crescendo’s novel method of utilizing AI with people nonetheless within the loop additionally addresses two elephants within the business’s room. The primary is deflection, which is a well mannered approach of describing how laborious corporations make it for purchasers to even learn the way to contact an organization earlier than getting shunted into the FAQ and cellphone tree wilderness. Then there’s churn. Unsurprisingly, numerous the business’s jobs are fairly boring, resulting in stratospheric worker churn charges of as much as 50% a yr.
Crescendo’s method to AI appears good. As a substitute of throwing tons of of hundreds of thousands of large clusters of GPUs and competing with OpenAI, Google, Meta, and many others., for the most recent PhD graduates in AI from MIT, they’ve put people in cost. For Crescendo, AI doesn’t displace people, it enhances them. On the identical time, their proprietary AI software can nonetheless profit from tapping into the world’s largest LLMs and even the non-public data bases of their prospects to reply the overwhelming majority of shopper questions. Better of all, prospects declare they will go into manufacturing with Crescendo in simply two to 4 weeks, and after the primary month, AI is dealing with greater than 90% of the queries robotically and precisely. So far they’ve but to expertise a single hallucination and there was zero buyer downtime.