I disagree with the premise of the SaaS market being saturated. If you look at it as en ecosystem, it has become complex, and complexity brings problems to be solved and generate value.
For the ideas. Need is a good way. For example, we build custom machine learning products for enterprise in varying sectors, for different problems, to serve diverse domain experts.
This takes a lot of time and the consulting model is not scalable as is. The revenue per employee will not be that of a SaaS business, and revenue isn't recurring, or predictable. Don't even get me started on the impact of this on hiring, or morale.
So after years of delivering these products, we noticed some patterns, and we decided to build our machine learning platform to do the heavy lifting[0].
We wanted to reduce the activation energy of delivering products based on what we learned un seven years or so of shipping actual products.
This is one way to do it. Granted, this is an expensive problem. How many hours do highly paid teams waste on menial things and cognitive load? A lot.
- [0]: https://iko.ai