Wallaroo (company)

Wallaroo is a developer of enterprise platforms for artificial intelligence and machine learning production. The company's enterprise platform is built to analyze data and provide users with real-time business insights while offering data scientists the tools to use to generate further information. Further, Wallaroo works to eliminate infrastructure problems, facilitate rapid iteration and testing, and run real-time applications to process large volumes of data while being built to be infrastructure and scale agnostic. The platform consists of components including MLOps, distributed processing engines, data connectors, and audit and performance metrics.

The company was founded in 2017 by CEO Vid Jain and is headquartered in Brooklyn, New York.

The Wallaroo platform is built to use AI algorithms against production data. The platform is built on four core components: MLOps, distributed processing engine, data connectors, and audit and performance metrics. Wallaroo has designed and built the platform to enable data scientists to deploy machine learning models against live data in testing environments, staging, or production. The platform supports a large set of machine learning training frameworks, allowing users to develop and iterate on their models. The distributed data processing engine in the platform offers production model scoring and pre- and post-processing. While the data connectors in the platform allow users to integrate popular data sources and sinks in the platform and develop custom integrations. The platform also offers users to provide observability to data scientists, operations, compliance and risk teams, business heads, and finance leads.

Wallaroo's platform has various use cases, including the following:

• in cybersecurity, where machine learning models can be deployed to detect security breaches and can be retrained and updated to detect new security threats

• in IoT, such as has been deployed by the U.S. military to analyze data in the cloud and across edge devices, such as drones and ships, to detect anomalies
• in real estate, where the platform has been used to deploy pricing models with real-time customer segmentation to dynamically price thousands of units
• in manufacturing, where it has been used to combine real-time demand data with supply and manufacturing data to optimize the supply chain in real time
• in advertising technology, where the platform can process up to 80 million events per second to optimize individual ad auction bids