Convoy AI provides a readiness control layer that helps sustainment teams determine what matters, prioritize and coordinate action, and helps operators assess which machines are ready for their missions.
Developing AI for the decisions that matter.
We’re developing domain-specific AI models to strengthen Convoy’s reasoning across sustainment and operations.
Specialized decision support for every sustainment domain
Help each sustainment team decide what matters and what to do, informed by dependencies across the machine and fleet.
5 vessels tasked for operations requiring GNSS are at risk from CVE-XXXX.
5 need action now · 13 other affected · 7 unaffected
Patch those 5 before 14 Oct →
Coordinated sustainment actions
Keep each team’s recommendations aligned as actions, dependencies, and operational needs change.
5 vessels needed by 15 Oct are awaiting unscheduled post-patch testing.
Post-patch testing
Not scheduled · Blocks readiness confirmation
Review the testing dependency and confirm availability →
Informed operational planning and force allocation
Assess each machine’s suitability for specific CONOPS, with limitations and uncertainty made explicit.
15 Oct patrol operation at risk. 1 of 5 tasked vessels may experience degraded GNSS.
USV 14Ready
USV 15Ready
USV 16Ready
USV 17Ready
USV 18Untested
Swap USV 18 for USV 21 or USV 24 →
Contested Logistics
Prioritize sustainment around operational demand when parts, personnel, and access are constrained.
Force Allocation
Assess which machines are suitable for specific CONOPS, including limitations and uncertainty.
Fleet Evolution
Assess how changes to software, hardware, and configuration affect readiness and operational suitability across a fielded fleet.
Fielded Fleet Support
Help manufacturers assess customer-reported issues, prioritize engineering support, and coordinate resolution around customer operations.
Product Security
Connect vulnerabilities to affected configurations and operational consequences to guide targeted customer advisories and remediation.
Reliability Improvement
Connect field experience and remediation outcomes to recurring problems and prioritize engineering improvements.
One shared foundation. Every decision connected.
Living fleet model
Maintains a continuously updated understanding of each machine and the fleet, connecting configuration, history, risks, dependencies, and operational context from existing systems.
Reasoning engine
Reasons across that context to assess readiness impacts, weigh constraints and tradeoffs, and recommend actions suited to each stakeholder’s domain and operational needs.
Workflow orchestration
Connects decisions to execution across teams, coordinating ownership, dependencies, and handoffs so sustainment actions stay aligned with operational priorities.
Learning loop
Captures decisions, actions, and outcomes to deepen fleet understanding and improve future recommendations as machines, missions, and conditions evolve.
Get early access to Convoy
Get early access with direct deployment support from the Convoy team.