SBIR-STTR Award

Machine Learning Enterprise Factory
Award last edited on: 9/9/2023

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$799,996
Award Phase
2
Solicitation Topic Code
AF211-CSO1
Principal Investigator
Christine Trainor

Company Information

Wallaroo Labs Inc

432 8th Street
Brooklyn, NY 11215
   (917) 847-9664
   info@wallaroo.ai
   wallaroo.ai/
Location: Single
Congr. District: 10
County: Kings

Phase I

Contract Number: FA8649-21-P-1094
Start Date: 4/13/2021    Completed: 7/19/2021
Phase I year
2021
Phase I Amount
$49,996
Wallaroo is a well-funded, commercially viable technology that offers an enterprise platform for operationalizing machine learning models against live real-time data. Wallaroo’s technology can run in the cloud, on-premise and at the edge. Wallaroo turns data into mission results faster, simpler, and at far lower cost than alternatives.

Phase II

Contract Number: FA8649-22-P-0673
Start Date: 3/11/2022    Completed: 3/13/2023
Phase II year
2022
Phase II Amount
$750,000
Currently, the global artificial intelligence (AI) and machine learning (ML) market struggles with operationalizing models and deploying them into production, leading to 85% of private sector projects failing (Gartner). The Air Force (AF) faces the same challenge. According to Jean-Charles Ledé, autonomy technology advisor to AFRL’s Commander Brig. Gen. Heather Pringle, “We need to move away from these single point demos to true scalability. We look really at AI as potentially impacting everything we do in the Air Force, from the back office activities — things like, for example, preparing a response to a Freedom of Information Act, helping to edit those documents — to logistics, certainly; and eventually even combat application in either manned or unmanned platforms.” (30 March 2021, Potomac Officers Club 3rd Annual AI Summit) Wallaroo solves this problem through our Enterprise Platform built from the ground up to remove roadblocks making it difficult to get AI and ML models into production and run inference and analytics at c-speeds (i.e.: referring to the programming language, C). Specifically, the Wallaroo Enterprise Platform consists of a self-service Application Programming Interface for data scientists that provides frictionless deployment, a distributed computing engine that’s blazingly fast and easy to scale, and a stream of comprehensive metrics so you can observe everything and act accordingly. Today, the Wallaroo enterprise AI and ML platform is in use with Fortune 500 companies and innovative firms across various industries, yielding $1.7M in annually recurring revenue with sales estimated to increase 200% year over year. Current clients utilizing the Wallaroo enterprise platform includes Mercedes Benz, Bank of America, and Public Storage to name a few. Additionally, Wallaroo has raised $6.7M in outside investment and is poised to assume a dominant position in the $60 Billion total available market for solutions to help firms deploy ML. The AF seeks to solve this problem through the LevelUP program office; its R&D software solutions branch. LevelUP plans to utilize this Phase II effort to integrate the Wallaroo Enterprise Platform within their ML Factory initiative to support data science users develop and deploy ML at scale. Wallaroo’s technology will equip all Airmen to act on data at the speed and scale of cutting-edge technology firms, and to do so securely, easily and at low cost.