Adapting the world's best drone technology for Canada's toughest environments
RMUS GO-TO AI technology was developed in Poland and the United States. Our mandate is to take that technology and make it work — reliably, operationally, and at scale — for the conditions that define Canada's geography.
The mandate
Canadian-environment adaptation
Poland built the GO-TO AI electronics. The United States developed the RMUS platform and operational doctrine. Canada is where we take that foundation and push it into conditions neither country was designing for.
Canada's operational environment is unlike any other allied nation. Sub-zero temperatures that defeat battery chemistry. Arctic white-out conditions that blind optical navigation. Remote northern terrain with no cellular, no GPS reliability, and no infrastructure. Vast maritime coastlines and inland waterway systems. Electronically contested environments where adversaries jam everything.
Off-the-shelf platforms from temperate-climate manufacturers fail in these conditions — not occasionally, but predictably. Our R&D program exists to close that gap permanently.
Our approach
Take what exists
Start with the RMUS GO-TO AI platform — the best available technology — developed by RMUS in the US and manufactured by partners in Kraków, Poland.
Test it in Canada
Field validation in real northern, arctic, and maritime conditions — not climate chambers or simulated environments. If it fails, we know why.
Adapt and fix it here
Engineering modifications, AI model retraining, configuration changes, and operational procedure development — done in Canada, by Canadians, for Canadian operational requirements.
Push improvements upstream
Canadian-environment discoveries are fed back to RMUS engineering in the US and our Polish manufacturing partners — improving the global platform stack for all allied operators.
Technology origins
Where the technology comes from
Three nodes. One integrated platform. Canadian adaptation is what ties them together for allied defense and public safety use.
🇵🇱
Kraków, Poland
Electronics manufacturing
RMUS GO-TO AI electronics — including the GO-TO I/O board, GO-TO Radio System, and GO-TO AI Processing Chip — are manufactured by our partner team in Kraków. These components form the hardware core of both the Raven and ARMUS platforms.
GO-TO I/O boardGO-TO Radio SystemGO-TO AI Processing ChipFlight control hardware
🇺🇸
Centerville, Utah
Platform development & doctrine
RMUS develops the GO-TO AI platform architecture, drone airframes, operational doctrine, software ecosystem, and training methodology. 10+ years and $51M+ in revenue building North America's premier UAS solutions provider — and the foundation Uncrewed Systems builds on.
GO-TO AI platform architectureRaven & ARMUS airframesGO-TO AI software stackOperational doctrineRMUS Hub training system
Our work
🇨🇦
Kitchener, Ontario
Canadian adaptation & assembly
We receive the GO-TO electronics from Poland, the platform architecture from RMUS, and assemble systems in Canada — while conducting the R&D needed to make them perform in conditions the original designers never tested for.
Canadian assemblyCold-weather adaptationArctic AI model trainingNorthern terrain validationCanadian regulatory integration
R&D focus areas
What we're solving
Six capability gaps where Canadian conditions defeat standard platform assumptions — and where our R&D is focused.
● In active development
Cold-weather platform endurance
Battery chemistry fails at sub-zero temperatures in ways manufacturers don't disclose. Motor efficiency drops. Airframe materials become brittle. We are developing battery thermal management protocols, pre-heat procedures, and cold-weather configuration standards validated at real operational temperatures down to −40°C.
Arctic white-out conditions eliminate optical navigation. GPS may be degraded or spoofed. We are retraining the GO-TO AI object detection models for low-contrast, low-visibility northern environments and developing sensor fusion approaches that maintain reliable autonomous flight when traditional navigation inputs are unavailable.
White-out navigationAI model retrainingSensor fusion
RF-denied extended-range autonomous operations
Northern terrain has unique RF propagation characteristics that affect both jamming range and fiber optic deployment mechanics. We are adapting the Raven fiber optic integration and autonomous flight protocols for the specific conditions of Canadian boreal, tundra, and arctic terrain — where obstacles, wind, and temperature affect fiber deployment differently than in temperate environments.
Canada's 202,000 km of coastline and vast inland waterway systems present corrosion, humidity, salt spray, and wave-induced vibration challenges that freshwater and landlocked testing doesn't expose. We are hardening platform configurations and developing operational procedures for maritime and freshwater deployment across Canadian coastal and northern waterway environments.
The RMUS GO-TO AI object detection models were trained primarily on US and European operational data. Canadian threat profiles, terrain types, and public safety scenarios differ meaningfully. We are retraining and fine-tuning detection models for Canadian-specific use cases — working directly with RMUS engineering to push improvements back into the global platform stack.
AI model fine-tuningCanadian threat profilesDetection accuracy
● In active development
Sovereign production & local manufacturing capability
Beyond platform adaptation, we are building the domestic manufacturing knowledge base needed to assemble, maintain, and eventually produce components in Canada. This includes 3D printing capability for rapid component replacement in field conditions, technical documentation in Canadian bilingual formats, and supply chain relationships that reduce dependence on single-source offshore components.
Our R&D work doesn't happen in isolation. It happens as part of a deliberate three-node global structure designed to combine the strengths of each country.
Poland contributes
GO-TO AI electronics manufacturing
Precision hardware component production
NATO STANAG 4586 interoperability expertise via U-S.IO
European defense manufacturing standards
USA contributes
RMUS GO-TO AI platform architecture
Drone airframe design and engineering
Operational doctrine from 10+ years of field deployment
RMUS Hub training ecosystem and community
Federal government procurement relationships
Canada contributes
Arctic and northern environment validation
Cold-weather platform adaptation
Canadian regulatory expertise (Transport Canada, DND, PSPC)
Bilingual operator training and support
Domestic assembly and sovereign production capability
Partner with our R&D program
Operating in a challenging Canadian environment?
If your agency or organization has specific capability gaps in northern, arctic, maritime, or electronically contested environments — we want to hear from you. Our R&D program is built on real operational feedback from Canadian operators.