Disconnected Systems
Siloed platforms hinder coordination across units, domains, and coalition partners. Every vendor is an island.
mimik turns drones, robots, vehicles, sensors, and tactical equipment into secure collaborative nodes that run AI agents on the asset itself. Agents run device-first and offline-first: they discover each other, coordinate, and execute mission workflows in denied, degraded, intermittent, or limited (DDIL) environments. The cloud is optional, not required.
The defense AI strategy shifts from policy to operational execution: agent networks for battle management and a mandated expansion of AI compute from data centers to the tactical edge. Agencies already have the data and the models. What they lack is the ability to execute across diverse systems reliably, securely, and at scale. mimOE is that execution layer, deployable on the assets they already own.
Siloed platforms hinder coordination across units, domains, and coalition partners. Every vendor is an island.
Centralized cloud fails in DDIL environments. Links are jammed, denied, saturated, or simply out of reach.
AI models that require backhaul to the cloud add latency and risk to exactly the decisions that cannot wait.
Proprietary stacks restrict mission agility, multi-vendor integration, and the freedom to adopt better models.
Agents continue operating, coordinating, and making decisions when cloud and satellite links are lost.
Drones, UGVs, robots, and tactical devices from different manufacturers work together without modifying their OS or hardware.
Classification, clearance, and data-handling rules are enforced at the device and agent level. Models and data stay owned.
Identity, authentication, and authorization enforced per device, per agent, and per workflow.
AI models and mission profiles are swapped or updated in the field, without downtime or re-architecting systems.
Real-time logs, telemetry, and audit trails across devices, agents, and workflows for mission assurance and after-action analysis.
Real-time personnel and asset monitoring, check-in and check-out, and safety and compliance workflows built for DDIL environments, on base or in the field.
ExploreCameras process events locally for immediate detection and response: real-time situational awareness without overloading central servers or leaking footage off-site.
ExploreSoftware-defined vehicles and fleets with in-vehicle, peer-to-peer compute at sub-10ms latency. Convoys and autonomous platforms coordinate without cloud.
ExploreWhen networks go down, agents keep responders, assets, and command coordinated locally, then sync when connectivity returns.
Grids, water, ports, and transit keep AI operations running through outages and cyber events. Resilience becomes a property of the system, not a hope.
Campus and facility monitoring, surveillance, and situational awareness with sensitive data processed and kept on-site.
Foundational IP on device-first, agentix-native execution across the compute continuum.
Validated with Fortune 100 enterprises and shipped in highly sensitive environments, including maritime operations in the energy sector.
Global innovation awards and ecosystem partnerships across leading silicon, hardware, and integration providers.
Scope one mission workflow, deploy on assets you already own, and measure autonomy, latency, and resilience against your current baseline in 60 to 90 days. No rip and replace.