The Navy’s chief technology officer outlines a shift toward co-investment with private capital, predicting that commercial investors will lead earlier-stage research, guided by published decision guidelines.

Major recent procurements underscore modernization, including a $562 million MQ-25 Stingray autonomous refueling drone contract, edge computing from Armada, Gecko Robotics inspections, and Domino Data Lab for ML pipelines, with commercial cameras and Applied Intuition software speeding timelines.

Navy investments span edge computing, drone inspection, and data science pipelines, plus replacing defense contractors’ shipboard cameras with commercial tech and Applied Intuition to accelerate delivery.

Notable purchases illustrate ongoing carrier modernization and a push to shorten development cycles.

Fanelli cautions priorities will adapt to emergent needs and emphasizes merit-based sourcing through a selective committee rather than broad approvals.

Fanelli notes the need to handle classified contexts carefully when discussing sensitive programs, reflecting public-private collaboration challenges in defense tech.

The Navy updated its technology procurement priorities to guide private-sector investment signals and accelerate readiness.

Annual Navy spending is around $150 billion, but policy favors co-investment with private capital and equity stakes in mature companies (Series D–F) over frequent early-stage funding.

Total Navy procurement volume signals broad spending, yet direct investments in companies remain limited; traditional channels still dominate while co-investment expands.

Fanelli has spent years simplifying Navy engagement for startups and vendors, moving from a complex entry point to a clearer funnel and enterprise-services approach.

The broader aim is to shift early-stage funding responsibility to commercial investors and to pursue technologies that reduce or replace existing Navy expenditures.

Five focus areas define the roadmap: applied AI/ML, agentic software, sensor data fusion and targeting support, autonomous system behavior, cyber operations; quantum information science for navigation, secure comms, and cryptography; advanced secure networks with intermittent connectivity; electromagnetic spectrum operations; and digital engineering with interoperable systems (open APIs, model-based engineering, zero-trust).