Enterprise AI Made Practical

Snorkel AI, Inc. is the developer of Snorkel Flow, an end-to-end enterprise machine learning software platform that accelerates AI application development via weak supervision for automated/assisted labeling of ML training data. Snorkel Flow provides a simple no-code UI that enables users to easily create “labeling functions” (capturing domain knowledge based on input from subject matter experts, pre-existing ontologies, legacy systems, or other sources of weak supervision) that produce massive amounts of programmatically-labeled ML training data in hours, without requiring armies of human labelers spending weeks or months painstakingly labeling data by hand. Additionally, Snorkel Flow helps data scientists and ML engineers to iteratively train, deploy, monitor, and adapt AI applications to changing inputs and objectives. The result is faster enterprise AI application development by eliminating the ML training data bottleneck.  This proposal’s potential customers include (but are not limited to) the following Air Force organizations: National Air and Space Intelligence Center, Nuclear Weapons Center, Office of Scientific Research, Research Laboratory, PEO Business and Enterprise Systems, PEO Digital Systems, Intelligence, Surveillance and Reconnaissance Agency, Air Mobility Command, Office of Special Investigations, and the Comptroller community through the newly announced Autonomy Prime program (AI-Assisted Business Analytics).