SBIR/STTR Research Award

Machine Learning Enterprise Factory

Award identifier 518d49671c125f2c37be6bc772d34f4bc58453d0be23c0abcf0b3b398eff2d05Awarding agency Department of Defense · Air Force

Award amount

$750,000

Program and phase

SBIR · Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
WALLAROO LABS INC
Proposal award date
2022-03-11
Contract end date
2023-03-13
UEI
K4RMW2W34UE1
Solicitation number
X21.1
Topic code
AF211-CSO1

Research abstract

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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

13 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $8,538,959. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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