Below you will find pages that utilize the taxonomy term “Acquisition”
BigBear.ai's $250M Ask Sage Acquisition Tackles Secure AI Deployment in Defense Markets
BigBear.ai’s $250 million cash acquisition of Ask Sage, completed December 31, 2025, represents the largest defense AI infrastructure investment to date, signaling that secure AI deployment for government and regulated industries has evolved from experimental capability to mission-critical infrastructure requirement.
The acquisition addresses a fundamental bottleneck preventing enterprise AI adoption in sensitive environments: while general-purpose AI platforms prioritize features and user experience, defense and intelligence agencies require purpose-built infrastructure that maintains data sovereignty, supports classified operations, and provides audit-ready governance frameworks that commercial AI tools cannot deliver.
Meta's $2B Manus Acquisition Signals Infrastructure Shift from Agent Development to Execution Revenue
Meta’s agreement to acquire Singapore-based AI agent platform Manus for over $2 billion represents one of the most significant infrastructure moves in enterprise AI this year — completed in just 10 days and demonstrating how quickly the market is shifting from agent development to execution-proven platforms.
The acquisition timeline reveals the urgency: Manus was actively raising capital at a $2 billion valuation when Meta approached, negotiations concluded within 10 days, and the deal marks Meta’s largest AI acquisition to date. This speed signals that major platforms are no longer waiting for agent capabilities to mature — they’re acquiring systems that already demonstrate commercial execution at scale.
RevRag.AI Acquires GenStaq.ai for Full-Stack AI Agent Infrastructure Control
RevRag.AI’s acquisition of GenStaq.ai signals a critical shift in the enterprise AI agent market: companies are no longer content to rely solely on third-party infrastructure for production deployments.
The December 2024 acquisition addresses a fundamental bottleneck preventing enterprise AI agent adoption—the lack of integrated control across the entire infrastructure stack. While most AI agent platforms focus exclusively on application-layer capabilities, RevRag.AI now controls everything from LLMOps orchestration to production deployment.