What is infra.new?
infra.new is an AI Copliot optimized for configuring cloud infrastructure on AWS, GCP, and Azure.
Problem
Users configuring cloud infrastructure on AWS, GCP, and Azure face complexity and time-consuming processes, leading to potential errors and inefficiencies. They struggle with understanding the nuances of different cloud platforms and automating tasks efficiently, which affects productivity and resource management. One major drawback is the need to manually manage configurations for each cloud service, which can be both labor-intensive and error-prone.
Solution
An AI Copilot optimized for configuring cloud infrastructure on AWS, GCP, and Azure, enabling users to automate and manage cloud infrastructure more effectively. Users can utilize AI-driven insights to streamline cloud configuration processes, optimize resources, and reduce errors. This solution makes it possible to quickly and accurately set up cloud systems, with AI providing suggestions and automations.
Customers
Cloud DevOps Engineers, IT Infrastructure Managers, and System Administrators involved in managing and configuring cloud environments. These professionals are likely to be working in medium to large enterprises that rely heavily on cloud services for their operations and are looking for ways to enhance efficiency and reduce overhead related to cloud infrastructure management.
Unique Features
AI-driven configuration suggestions for AWS, GCP, and Azure, enabling more accurate and efficient cloud environment setups. The copilot's ability to integrate with multiple cloud platforms allows for streamlined configuration across different services. Additionally, automation features reduce the need for manual intervention, thus minimizing human errors and workload.
User Comments
Users appreciate the reduction in errors due to AI recommendations.
Many find the tool efficient in managing multi-cloud environments.
There is positive feedback on the time saved in configuring infrastructures.
Some users highlighted the straightforward interface.
Requests for additional cloud platforms to be supported have been noted.
Traction
The product has been recently launched, with early adopters primarily from larger enterprises engaged in extensive cloud deployments. Specific metrics on user numbers and revenue were not available at the time of investigation, suggesting the product is in a growth phase.
Market Size
The global cloud computing market was valued at approximately $371.4 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 17.5% from 2021 to 2027. This growth is driven by the increasing adoption of cloud services across various industry sectors, highlighting the expanding demand for cloud infrastructure management solutions.
