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Veritone Selected by Department of Defense in $249 Million BPA to Accelerate AI Capabilities of Joint Artificial Intelligence Center
Veritone aiWARE™ recognized as leading enterprise AI platform to advance JAIC’s Test & Evaluation program objectives DENVER--(BUSINESS WIRE)-- Veritone, Inc.
About this update from Veritone, Inc.
[{"type":"text","content":"\nVeritone aiWARE™ recognized as leading enterprise AI platform to advance JAIC’s Test & Evaluation program objectives\n\n DENVER--(BUSINESS WIRE)--\nVeritone, Inc. (NASDAQ: VERI), creator of aiWARE™, a hyper-expansive enterprise AI platform, today announced it has been selected as an AI partner in a $249 million Blanket Purchase Agreement (BPA) awarded by the Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). Under the terms of the agreement, the JAIC will be able to leverage the Veritone aiWARE platform and key applications for Test & Evaluation (T&E) capabilities to accelerate the government’s full spectrum of emerging AI technologies including Machine Learning (ML), Deep Learning (DL), and Neural Networks (NN).\n\n“We are pleased to be among the select companies entrusted by the DoD to advance its mission to accelerate the delivery of AI-enabled capabilities, scale the department-wide impact of AI, and synchronize DoD AI activities to expand Joint Force advantages,” said Jon Gacek, head of government, Veritone. “To keep up with the ever-increasing velocity and influx of multi-intelligence (INT), the DoD must employ a platform that can accommodate bespoke AI models to extract actionable insights from each INT type, while also having the capability to test and evaluate all resulting model predictions at scale. With the flexibility to test, evaluate and run such AI models, the need to monitor those running processes over time is critical for not only performance but also maintaining costs and processing within acceptable control parameters. Veritone aiWARE allows these processes to scale at the organizational level across many development and operational environments as needed. By making T&E of AI/ML models systematic, scalable, serviceable and user friendly, non-technical personnel can also compare and determine model drift, accuracy, bias and vulnerability to ultimately foster trust and reliance of deployed AI solutions.”\n\nVeritone supports a deploy, integrate, scale and comply methodology for Machine Learning Operations (MLOps). Veritone has a number of tools that are commercially available or currently under development, native to its aiWARE platform, which allow users to seamlessly augment and automate deployment, integration, test, evaluation and monitoring of performance at scale in compliance wit...