SelfMachines Inc.

SelfMachines is a strong no code tool. It helps build, train, manage, and deploy different information systems. These systems are made to fit specific business needs. It is great for tech savvy users and beginners.

Key Features

SelfMachines has a special design. Users can make and reuse custom parts. This saves a lot of work and speeds up the process. The platform uses a nested graph setup. This lets users plan their work at different levels. It is good for all types of users.

The Abstraction Ladder feature has seven steps. It goes from layer level to system level. This gives lots of flexibility. It works for different user needs and skill levels.

Benefits

One big plus of SelfMachines is its single hub. Users can plan and run different information tasks here. Even if they have different needs. The high custom options mean users can make new parts from old ones. This helps meet specific business needs without starting over.

Use Cases

Picture a user logging into their SelfMachines account. They start a new project with two tasks running at the same time.

1. Conversational Workflow In this case, client questions are handled by two chatbots. One uses the OpenAI API. The other makes an internal Llama based language model. This shows the platform''s flexibility.

2. Classification Workflow Here, a neural network is trained using the MNIST dataset. This shows the platform can handle complex machine learning tasks.

If the user likes one chatbot, they can save its settings. They can use it again in another task. This shows the platform''s modular extensibility.

Company Information

SelfMachines Inc is in San Jose, CA. Mohammad Sanatkar started it. He has a PhD from Duke University. The company began on January 23, 2024. It is filed under document number 6068657. It has an active status with the California Secretary of State. The company''s address is 5839 Chesbro Ave, San Jose, CA 95123. Republic Registered Agent Inc is the registered agent.

For more details, visit their official website SelfMachines or the founder''s LinkedIn profile.