Iterate Studio, Inc.

Chatura Samarasinghe

Brainerd Sathianathan

Arulkumaran Chandrasekaran

John Selvadurai

Shomron Jacob

David Ruvalcaba Gonzalez

A configuration server is provided including one or more processors and a workflow generator executing on the one or more processors. The workflow generator is configured to generate a workflow corresponding to a feature of a service. The configuration server also includes a client user interface configured to receive requests from a client user to enable or disable the feature of the service. A service director is configured to control deployment of the feature of the service by placing the workflow corresponding to the feature in an active state or an inactive state responsive to client requests. Responsive to a determination that the workflow is in the active state, the service director communicates the workflow to a deployment server. The feature associated with the workflow is available to an end user accessing the service when the workflow is communicated to the deployment server.

Dynamic feature loading

The present disclosure relates generally to a method of executing application code developed using a simplified programming interface. I/O tasks and processing intensive tasks are designated as event callbacks in a single event loop runtime environment. The I/O tasks and processing intensive tasks are generated in association with a user request. Tasks associated with event callbacks are offloaded for execution using a resource based multithreading module to allocate the tasks between a plurality of processors based on the current utilization of each of the plurality of processors and an estimation of computing resources for execution of the tasks. The tasks are executed at the allocated processors of the plurality of processors and the user request is fulfilled using results of the executed tasks.

Developer independent resource based multithreading module

The present disclosure relates generally to systems and methods that include a configuration server with a processing element operable to operate a plurality of containers. A plurality of functionality modules are operable to execute within respective containers of the plurality of containers. Each functionality module includes: an input, a functionality operable to be executed by the processing element to perform an artificial intelligence operation using the input, and an output produced by the functionality. The modular system includes a messaging object operable to connect the output of a first one of the plurality of functionality modules to the input of a second of the plurality of functionality modules. The modular system configures the messaging object to adapt the output of first functionality module to the input of the second functionality module.

Growing community of inventors

San Jose, CA, United States of America

Chatura Samarasinghe