BigBear

BigBear.ai is a mission-critical AI company that turns complex data into confident decisions for defense, aviation and logistics teams. Its 5-layer Observe-Orient-Dominate stack fuses computer vision, digital twins and edge autonomy inside one security-cleared platform, cutting planning cycles by 70 % and boosting throughput by nearly 30 %. Trusted by the U.S. Army, TSA and global airports, the low-code suite is available as SaaS, on-prem or tactical appliance, paying back customers in months while opening a 70 % margin runway for investors. BigBear’s platform is architected around a continuous loop popularized in military doctrine: Observe → Orient → Decide → Act. Each layer is productized as a modular micro-service that can be snapped into existing clouds or run inside a classified on-prem appliance. Observe Layer – Multi-Domain Data Fusion Engine Real-time connectors ingest structured tables, LiDAR point clouds, full-motion video, SIGINT, and open-source feeds. A schema-less data mesh converts everything into a common NATO-aligned ontology, letting analysts query Arabic tweets, synthetic-aperture radar, and cold-chain IoT sensors in one SQL-like language. Orient Layer – Causal & Generative ML Fabric Instead of black-box neural nets, BigBear blends Bayesian networks, graph neural nets, and large language models fine-tuned on defense corpora. The hybrid approach outputs both a prediction (“85 % probability of convoy delay”) and the causal drivers (“border wait time + driver fatigue index”). Decide Layer – Digital Twin & Simulation Sandbox Logistics or order-of-battle models are cloned as digital twins. Monte-Carlo engines run 50 000 “what-if” scenarios in minutes, ranking decision branches by risk, cost, and mission impact. The same sandbox is exposed via REST APIs so third-party ERP or dispatch tools can call it headless.