#defense-contracting

#defense-contracting

Amid a burgeoning artificial intelligence (AI) landscape, giving investors an overabundance of stocks trying to capitalize on the technology's potential, BigBear.ai ( ) delivers AI-powered analytics and decision intelligence solutions primarily for defense, government, and commercial sectors. Because its platforms integrate vast datasets to provide real-time insights, serving clients in government and enterprise in areas like national security, logistics, and border management, BigBear is frequently compared to Palantir Technologies ( NASDAQ:PLTR ). For example, BBAI's tools, such as ConductorOS, echo Palantir's Gotham and Foundry in enabling predictive analytics and operational efficiency.

A leader of a company gathering steam as a data and artificial intelligence provider to the Defense Department has been arrested for allegedly soliciting an underage girl for sex. Eric T. Gillespie, the founder and chairman of Govini, has been charged as part of a sting operation by the Pennsylvania attorney general's office and the Lebanon County, Pennsylvania district attorney's office.

The defense industry has had nearly a decade of warnings, but today (Monday, Nov. 10) marks the day that companies need to start complying with the government's standards around how they protect controlled unclassified information. Of course, they should have been complying with the National Institute of Standards & Technology's SP 800-171 standard for the last eight years. But now the Cybersecurity Maturity Model Certification program begins in earnest.

Just a few years ago, space startups were selling investors on visions of a rapidly expanding commercial market for weather monitoring, broadband, and remote-sensing satellites. Astra, for example, told investors in its 2021 SPAC deck that it would eventually launch hundreds of rockets per year to serve a growing small satellite market. Relativity Space pitched investors on a 3D printing revolution that would make rockets cheap enough to unlock large commercial demand.

The platform ingests data from multiple sensors, such as air, land, sea, and space-based imagery and signals, to detect battlefield threats like drones, enemy positions, or other targets. FPS does all of that in a no-code, hardware-agnostic environment that lets the average soldier in the field "build, retrain, and deploy custom machine learning models at the edge without coding," according to the company. Most critically, FPS is designed to operate without a connection to the internet or cloud services.