Key Points & Performance Overview:

At present, many-to-one, or N-to-1,** inputs-to-output is most reliable Agent configuration or Arch.

Our Hello, World is the simplest possible Agent, which can learn to associate any 3 input channels with 1 output channel (3-to-1), is conceptualized as an Agent with clam-level cognition; try it here.

The Nextbox Agent is a fork of the simplest Agent with each channel scaled up to 10 binary neurons (3-to-1 with 30-10 neurons).

You can create and invoke Agents of arbitrary sizes (thousands of neurons or more) depending on your application data model by forking and modifying exisiting Agent Archs to create your own.

Questions? Concerns? Ping us any time on Discord.

Step 1 Invoke our Basic Agent to learn the main API call.

Step 2 Configure your own custom Agents unique to your application's data model.

Data privacy & infrastructure note: Unlike with tokenization, your data is kept private. You only ever pass through your data in binary to our API, which we store per Agent on AWS DynamoDB; the binary data encoder-decoder is not exposed to the Agents or our API and remains in your control. Lambda functions retrieve and run Agents as invoked through the API given a unique Agent ID which you can associate with unique user/customer IDs.

WHO WE ARE