Serendipitously, Chandrasekaran chanced to satisfy a pair of sensible technologists with a long time of name heart 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 trade 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 trade’s room. The primary is deflection, which is a well mannered method of describing how exhausting firms make it for patrons 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, quite a lot of the trade’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 a whole bunch of thousands and thousands of large clusters of GPUs and competing with OpenAI, Google, Meta, and so on., for the newest PhD graduates in AI from MIT, they’ve put people in cost. For Crescendo, AI doesn’t displace people, it enhances them. On the similar time, Crescendo’s proprietary AI software can nonetheless profit from tapping into the world’s largest LLMs and even the non-public data bases of their clients to reply the overwhelming majority of consumer questions. Better of all, clients declare they’ll 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. To this point they’ve but to expertise a single hallucination and there was zero buyer downtime.
