Mission Profile

Advancing Canadian Industry through Autonomy.

Closely Autonomous Systems was founded in Edmonton to bridge the gap between abstract reinforcement learning research and the hard constraints of physical robotics.

Precision robotic engineering close-up
[EDMONTON_FACILITY // 53.5461° N, 113.4937° W // SYSTEM_STABLE]

Bridging simulation
& physical reality.

In the Canadian tech landscape, we prioritize safety-first control logic over empty hype. Our goal is to make advanced RL as reliable as hydraulic control, ensuring high-fidelity performance in demanding environments.

CHECKING_ENVIRONMENT... OK

Expert Technical Insights

We don't sell black-box magic. Closely provides the software brain that sits on top of existing control interfaces, grounded in peer-reviewed reinforcement learning frameworks. Our process involves rigorous simulation before a single line of code touches physical hardware.

  • Hardware-Agnostic Integration
  • Explainable AI Transitions
  • Validated Safety Buffers
LOCAL ROOTS

Serving the Edmonton Corridor.

Operating out of Alberta's industrial heart, we provide on-site technical discovery and RL simulation strategy for facilities across Canada. We are committed to mission stability and long-term partnership in the regional robotics sector.

[LAT: 53.5461 / CORE: ACTIVE / VERSION: 2026.Q2]
AUTONOMY

Scientific rigor
over marketing hype.

We solve the "simulation-to-reality" gap. While many platforms claim plug-and-play AI, Closely focuses on the Safepoint Protocol: a proprietary check for model deviation during live inferencing.

Our ethics are simple: Reinforcement Learning should solve problems that traditional PID control cannot, such as varied weights, irregular shapes, and dynamic obstacles.

High-fidelity simulation server facility
Deployment Stage

Phase 1: Environment Modelling

A Grounded Approach.

01
Technical Discovery

Review of current hardware stack and throughput bottlenecks. We analyze system capacity logs to determine if RL is the correct optimization path for your specific facility.

02
Simulation Training

Training agent models in digital twins to minimize physical testing risks. This stage ensures physical constraints and safety protocols are baked into the control logic before deployment.

03
Physical Deployment

Hardware-agnostic software integration with the Safepoint Protocol active. Real-time monitoring of model deviation ensures high-fidelity performance without risk to site assets.

Headquartered
in Edmonton.

Office Location

10130 103 St NW, Edmonton, AB T5J 3N9, Canada

Direct Contact

+1-780-553-3151

[email protected]

Availability

Monday — Friday: 9:00 - 18:00

Closely HQ presence in Edmonton

Market Focus

While our research is hardware-agnostic, our operational focus remains regional. We believe that physical proximity is essential for the initial discovery and Safepoint calibration phases of a robotics project.

ALBERTA CORE / WESTERN CANADA HUB
[Z-AXIS: CALIBRATED // REAL-TIME: ACTIVE // REGION: CA_WEST]