What we need to capitalize is hours of training data from call centre across states which were used for calling and training purposes can be used to train our own models , fueling up to make our own elevan labs !
We were building generative ai voice for different indian regional languages, but to keep running a startup like this need capital and indian investors didn’t wanted to invest much, so after our seed round and operating for 2 years we had to shutdown at the end.
If only investor's understood the TAM, sir. we were getting 1M Funding but that could just give fuel for 8-9 months more, and making your own LLM model where the edge is, require capital to train them. Tried raising from US VC's but had to register our company there and lot more hassle.
What we need to capitalize is hours of training data from call centre across states which were used for calling and training purposes can be used to train our own models , fueling up to make our own elevan labs !
We were building generative ai voice for different indian regional languages, but to keep running a startup like this need capital and indian investors didn’t wanted to invest much, so after our seed round and operating for 2 years we had to shutdown at the end.
But why look for “Indian” investors only? TAM language is understood by investors interested in growth!
If only investor's understood the TAM, sir. we were getting 1M Funding but that could just give fuel for 8-9 months more, and making your own LLM model where the edge is, require capital to train them. Tried raising from US VC's but had to register our company there and lot more hassle.
Fab article… (for now)!
Quite an intriguing thought.