BigBear.ai | November 23, 2021
BigBear.ai , a leading provider of artificial intelligence ("AI"), machine learning, cloud-based big data analytics, and cyber engineering solutions, today announced that it has been awarded two new government contracts. The United States Army has awarded the Company one of two Global Force Management (“GFIM”) Phase 1 Prototype contracts. GFIM, part of PEO EIS's Army Data and Analytics Platforms (“ARDAP”) portfolio, collaborates with the Army G-3/5/7 to manage and deliver this prototype contract. In addition, BigBear.ai subsidiary, PCI, has been awarded a five-year, single award contract by the National Security Agency (NSA).
Dr. Reggie Brothers, BigBear.ai Chief Executive Officer, said, “Together, these two new contract awards demonstrate our growing momentum among both new and existing customers as we approach our anticipated public listing later this year. We are proud to support our customers in executing their critical missions to keep our Nation safe.”
Global Force Management Contract
Under the terms of the GFIM contract, BigBear.ai will develop and demonstrate a platform that integrates force structure, readiness, mobilization, and requirements validation to meet service and Global Force Management requirements. This integrated planning, programming, and production capability will serve as the single-entry point for conducting force management activities for an Army "at rest" and “in motion.” The solution will be a transformational approach to the Army's ability to enable its Deploy to Redeploy and Retrograde of Materiel end-to-end business process from the enterprise to the tactical edge.
BigBear.ai will deploy a No-Code/Low-Code (NC/LC) workflow automation platform in a configurable, scalable environment to fulfill the Army requirements. The resulting transactional capability will deliver automated workflow, robotic process automation, and AI/Machine Learning (ML) capabilities while saving person-hours, reducing IT spend, and subsuming a portfolio of 13 legacy systems.
"BigBear.ai and our valued teammates are truly excited to partner with the Army G-3/5/7 and PEO EIS on this transformational program. When fully operational, this solution will support 160,000 users, including senior leaders and combatant commanders from company through division levels, enabling the Army to achieve decision dominance to make data-driven force structure decisions faster and with confidence."
Ryan Legge, BigBear.ai Analytics Sector President
National Security Agency Contract
Under the terms of the NSA contract, BigBear.ai subsidiary PCI will support the development and implementation of strategic priorities and operations by gathering, interpreting, and translating federal executive-level strategic guidance into actionable initiatives aligned to appropriate organizational mission areas.
Dr. Brothers stated, “This award continues the decade-long relationship that BigBear.ai has had supporting NSA in the development and implementation of strategy, plans, and guidance to gain a decision advantage for our Nation and to deliver next generation capabilities and solutions.”
A leader in decision dominance for more than 20 years, BigBear.ai operationalizes artificial intelligence and machine learning at scale through its end-to-end data analytics platform. The company uses its proprietary AI/ML technology to support its customers' decision-making processes and deliver practical solutions that work in complex, realistic, and imperfect data environments. In addition, BigBear.ai's composable AI-powered platform solutions work together as often as they stand alone: Observe (data ingestion and conflation), Orient (composable machine learning at scale), and Dominate (visual anticipatory intelligence and optimization).
RS21 | November 09, 2020
RS21 has been awarded the IRS Data Mashing Solution Requirement to improve data collection for governmentwide procurement. The contract was awarded through the innovative Pilot IRS program, a new acquisition method that uses a multiphase approach to allow the IRS to test new technologies on faster timelines without added risk. The first phase solution challenge will focus on three goals: bringing together several datasets in an easy-to-use visualization, promoting the use of labor and wage data, and achieving near-term improvements in the number of datasets and rigor of analysis.
NOAA | October 27, 2020
The National Oceanic and Atmospheric Administration and Google linked up to cooperatively steer artificial intelligence and machine learning-driven pilot projects that could advance the agency’s environmental monitoring, weather predicting, and climate research capabilities.
Through a three-year deal unveiled Tuesday, the two will collectively study and develop small-scale AI systems and eventually wider-ranging prototypes that might be infused across NOAA’s broader enterprise. Such resources would be of good use to the water and climate-focused agency, which is responsible for providing raw data for weather forecasts nationwide, including those used to predict hurricanes and other natural disasters.