Systems built to run. IP built to license.

A fleet orchestration operating system for autonomous mobile robots (AMRs) in warehouse and distribution environments. Optimus handles task allocation, traffic coordination, and mission telemetry across mixed robot fleets — delivered under a Robotics-as-a-Service model so operators pay for throughput, not hardware.

Built for the reality of live warehouses: it integrates with the WMS you already run instead of demanding a rip-and-replace.

A purpose-built integration layer connecting AMR fleets to Foxfire WMS installations. The adapter translates warehouse orders, inventory moves, and location data into robot missions — and writes completion state back — without modifying the WMS itself.

Designed for on-premise environments where the WMS database is the source of truth and uptime is non-negotiable.

A coordination platform for community food networks — connecting surplus, suppliers, and need across local distribution channels. UniCo applies intelligence to a logistics problem that is usually run on spreadsheets and goodwill, serving audiences in the US and UK.

The platform pairs a modern web experience with a coordination engine that treats food movement as the routing problem it actually is.

A decentralized network initiative built on AGTS's long-standing work in distributed systems, self-sovereign identity, and creator-first infrastructure — designed for coordination that doesn't depend on a central gatekeeper.

Details of the network's architecture and roadmap are published as the program matures.

A product line dedicated to personal privacy and anti-surveillance countermeasures. Obscura approaches surveillance as a systems problem — addressing data collection, tracking, and profiling at the structural level rather than treating privacy as a browser setting.

Built on the position that privacy is an engineering discipline, not a preference.

An analytics architecture where raw data never leaves its source. DEADS runs analysis locally and delivers only encrypted, aggregate-level insight — inverting the standard model where your data is shipped to someone else's cloud to be understood.

Privacy-by-design isn't a policy layer here; it's the pipeline itself.