Under the contract, the company will develop test and evaluation capabilities covering ML, deep learning, and neural networks
Scale AI selected as JAIC’s AI readiness partner. (Credit: sujin soman from Pixabay)
Scale AI has been issued a $249m-ceiling blanket purchase agreement by the US Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC) for its selection as a government-wide AI partner.
Based in California, Scale AI provides data infrastructure for AI.
Under the contract, the company’s technology will be made available readily to all federal agencies for overcoming their most critical AI challenges. The company’s technology will also be used for advancing operational AI/machine learning (ML) capabilities across the US government.
In its role as JAIC’s AI readiness partner, Scale AI will be responsible for developing test and evaluation (T&E) capabilities covering ML, deep learning, and neural networks.
The T&E capabilities will have a focus on critical use cases that include image analysis, evaluating visual search and image classifier which are based on deep learning, and autonomous systems.
Besides, the capabilities will focus on humans augmented by machines and enhanced methods to measure warfighter cognitive and physical workloads, and natural language processing (NLP) enabled products and services.
Scale AI founder and CEO Alexandr Wang said: “AI is not a one-and-done technology, and we’re thrilled to see the JAIC embrace the continuous approach to T&E that Scale was founded on.
“By adopting this framework, the government’s AI programs will be more resilient, responsible, and equitable, ensuring that U.S. investments in AI lead to successful deployments of new, impactful technologies.”
Scale AI claimed that its end-to-end AI solution will help the US government to manage the entire ML lifecycle through its Scale Nucleus tool.
According to the company, Scale Nucleus will help manage the lifecycle starting from annotation of data to dataset curation and management to testing and evaluation of models, to development of models, all in one place.
The company said that through the tool, operators and analysts can understand, visualise, curate, and collaborate on their data, which will help in their mission goals via automation of processes, improved decision support, and insight generation.