ToyStack.ai, a startup focused on streamlining the process for developers and technology teams to deploy their code to the cloud, has raised $325,000 in a pre-seed funding round.
The fund was led by notable angel investors, including D. Devaraj, founder of SDU LLP Chartered Accountants, and Asit Shetty, founder of Aveda Ventures.
Purpose of fundraising
The startup plans to use the raised capital for product development, talent acquisition, sales, and marketing.
"Our mission at ToyStack was to create an automated infrastructure toolchain that can simplify the cloud deployment process for developers and companies. This investment further bolsters our mission and will help us in our next phase of product development and customer growth," said Torun Mathias, Co-founder of ToyStack.
What does ToyStack.ai do?
Founded in 2023 by Mukund Gandlur, Sravan Aditya, Arun Gandlur, and Torun Mathias, ToyStack.ai says their online platform is designed as an automated deployment tool that enables developers and software teams to deploy their code to the ToyStack cloud in just a few minutes with minimal effort.
Notably, the startup eliminates the need for server setup, CI/CD (Continuous Integration and Continuous Deployment) pipelines, orchestration tools, and extensive configuration and security measures, which helps significantly reduce the complexities and time involved in the cloud deployment process.
Technological advancements
One of the standout features of ToyStack.ai is its integration of a Large Language Model (LLM) to optimize the deployment process and reduce build times.
By analyzing data from past build logs, error reports, and time metrics, the LLM can identify patterns and inefficiencies. This allows the platform to provide actionable insights and suggestions for optimization, further enhancing its efficiency and user experience.
ToyStack.ai claims that it has seen rapid adoption within the software development community.
Currently, the platform boasts users from over 100 countries and has facilitated more than 14,000 successful deployments to its cloud.