ZeroCompute

CubedAI is changing the way machine learning models are deployed with its easy-to-use no-code platform. This platform makes it simple and affordable for anyone to deploy ML models without the usual complications and high costs.

Key Features

CubedAI''s standout feature is ZeroCompute, a shared instance that lets users deploy and serve ML models using CPU instances for free. This means organizations and developers can focus on innovation without worrying about infrastructure costs.

The platform also offers a straightforward deployment process.

1. Prepare Your Model: Save your model in the required format and compress it into a .tar.gz archive.
2. Deploy the Model: Upload the model file, fill in deployment details, and choose server locations and instance types.
3. Monitor Deployment: Track the deployment status until it''s ready for use.
4. Create a Workspace: Set up a workspace to get an HTTP endpoint and Secret Key for sending requests.
5. Send Requests: Use tools like Postman to send requests and receive predictions.

Benefits

CubedAI offers several advantages.

• No Hidden Costs: Pay only for the computational power used, with no extra charges for requests, data storage, or monitoring.
• No Vendor Lock-In: No long-term commitments are required.
• Dedicated Technical Support: Always available to ensure the best experience.
• Suitable for Various Users: Ideal for data scientists, business analysts, and anyone looking to expedite the model deployment process.

Use Cases

CubedAI''s platform is perfect for a variety of users, from data scientists to business analysts. It helps expedite the model deployment process, making it easier for businesses to integrate ML models into their systems.

Cost/Price

CubedAI users only pay for the computational power they use. There are no hidden costs or long-term commitments. The ZeroCompute initiative allows users to deploy ML models using CPU instances for free, making it a cost-effective solution.

Funding

CubedAI, founded by Sanan Suleymanov, is part of the Tehnopol Startup Incubator''s AI Accelerator. The startup aims to have a public version of its platform with paying customers within a year and plans to become a well-known player in the AI field within five years.