A Coho AI
success story
Coho AI brings innovative AI solutions to market 75% faster with Akka
The need
From the moment they’re founded, tech startups must hit the ground running. During the early stages of a company’s life, being first to market – often with a Minimum Viable Product (MVP) – is almost the only thing that matters. This is doubly true when most of your customers are fast-moving tech companies too. If you can’t demonstrate that you’re agile enough to keep pace with their needs, you’ll quickly fall by the wayside.
For Coho AI, a company that builds a revolutionary product-led revenue platform for SaaS providers, speed is of the essence. Armed with a clear vision of the challenges SaaS providers face in converting free-tier users into paying customers, Coho AI founders were determined to get their solution into customers’ hands as quickly as possible.
Michael Ehrlich, Co-founder and CTO, comments: “Like any startup, we had limited resources in terms of both time and developers. We had to be 100% focused on building our product for delivery to customers, and we needed a tech stack capable of supporting that goal.”
The challenge
Coho AI knew that as soon as its product took off, it would need to scale to dozens of customers and potentially thousands of users within months. A microservices architecture would make it easier to scale, but it would also be complex to set up and maintain—shifting the team’s focus away from developing new functionality and creating a significant DevOps burden.
“We had to find a way to be fast and efficient on the engineering side,” says Michael Ehrlich. “We couldn’t afford to waste time writing boilerplate code to configure infrastructure—we wanted to be totally focused on business logic.”
Ideally, the company wanted to find a platform that would abstract away all the complexity of servers, load balancers, databases, security, and integration. The platform would simply provide a reliable, high-performance environment for developing, composing, and running microservices—enabling the team to launch the product within a four-to-six-month runway.