- Cast AI manages developer’s data on various cloud servers
- Company raised $7.7 Million in Seed Funding round
- Cast AI plans to use the funds to expand sales efforts and product development
Cast AI, a Miami, Florida-based multi-cloud company that allows developers to deploy, manage, and cost-optimized applications in multiple clouds simultaneously, closed its $7.7M seed funding round.
Backers included TA Ventures, Florida Funders, and other investors.
The company intends to use the funds to expand sales efforts and continue investing in product development.
Cast AI is a multi-cloud platform that allows its users to mix and match different cloud providers in one setup. The console is equipped with all features that enable users to deploy, manage, and optimize Kubernetes clusters across multiple cloud services.
How does Cast AI work?
“Cast does not require you to do anything except for launching your application. You don’t need to know […] what cloud you are using [at any given time]. You don’t need to know anything except to identify the application, identify which [public] cloud providers you would like to use, the percentage of each [cloud provider’s] use and launch the application,” Frayman explained.
This means that users could use Amazon’s RDS database and Google’s ML engine. Then, the solution decides how to make that work based on your requirements and price. Users set the policies when users are ready to launch. Then, Cast will take care of distributing it for in the location and providers that desired outcome.
Company’s Ethics and Background
The company currently has 25 employees with four new hires in the pipeline. Cast AI plans to double to 50 by the end of 2021.
Moving Forward, the company is trying to keep diversity and inclusion front and center in its hiring approach as they currently have women in charge of HR, marketing, and sales at the company.
“We have very robust processes on the continuous education inside of our organization on diversity training. And a lot of us came from organizations where this was very visible and we took a lot of those processes [and lessons] and brought them here,” Frayman said.