Deploying a secure platform for remote monitoring and mobile onboarding of intelligent robots
Devices monitored in production
10 unitsSecure system synchronization
100%Increase in cognitive assessment capacity
9xTHE CHALLENGE
How to monitor and manage robotic systems remotely while keeping them secure, reliable, and scalable?
A Canadian-based service company partnered with Relevant Software to modernize and expand a remote monitoring platform for its R&D client, which specializes in socially intelligent robotics. The client is developing a socially aware companion robot that provides emotional support and 24/7 engagement in real-world environments.
To support the robot’s deployment, the company needed two key systems: a mobile app for secure device onboarding and RDMP (Remote Device Management Platform) for ongoing monitoring and remote maintenance. The mobile app enabled field teams to discover new devices on local networks, configure them, and connect them to the cloud without manual setup.
Relevant Software was brought in to design a secure, cloud-native infrastructure that could handle real-time monitoring, remote software updates, system diagnostics, and error reporting and handling across an expanding fleet of connected robots. The system also had to support both engineers and non-technical staff, requiring a clear, intuitive interface and strict access control.
Every part of the platform—from backend architecture and device logic to system security and API design—had to meet enterprise-level performance standards and strict privacy requirements. RDMP needed to operate reliably in medical and long-term care environments, where stability and trust were non-negotiable.
Yurii Vasylkiv Representative Director at Eleteria Inc.Working with Relevant Software on the project was a pleasant experience from start to finish. Their team delivered a platform that fully met our expectations in terms of usability and security. Their professionalism, expertise, and dedication to understanding our needs made the collaboration seamless.
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Book a free consultationTHE SOLUTION
An end-to-end ecosystem for intelligent device monitoring, and mobile-led onboarding
Dual-mode device logging system
We built two logging components for the device application: one for basic system monitoring, and another with integrated support for the Robot Operating System (ROS) to capture detailed sensor and runtime data.
Device data storage & API layer
Our team developed a database and API layer to store data from EM devices, map relationships between data types, and track user actions. This allowed client applications to reliably read, write, and manage all device-related information.
Cloud-backed delivery infrastructure
Our engineers used AWS to store device state data and manage the distribution of system packages and application content, ensuring each device receives the correct files at the right time.
Remote package management
We created a backend module that manages content and software packages — handling installation, uninstallation, and updates remotely across devices, with packages grouped by device type and delivered in Debian format.
Installation manager & command execution engine
Our developers used AWS IoT Jobs to set up and trigger remote operations on individual or multiple devices. A dedicated component monitors job topics and runs the appropriate commands based on each task.
Mobile app
Our team built a mobile app that detects emotionally intelligent (EM) devices on local networks and manages their initial setup for cloud communication. This simplified the onboarding process for devices not yet connected to the cloud.
Remote task execution interface
We enabled remote execution of key system tasks — Reboot, Shutdown, Install Package, and Uninstall Package — giving operators control over essential actions directly from the cloud dashboard.
Error notification layer
Our specialists have developed a real-time system that captures device errors across four categories — Hardware, External Hardware, OS, and Software — to support faster issue resolution.
Device initialization process
We created an initialization procedure that prepares new EM devices for the RDMP (Remote Device Management Platform) by preloading essential software, services, certificates, and runtime dependencies. This ensures each device is fully ready from the first boot.
THE RESULT
Remote device management at scale
The system now manages over 10 robotic units in active production, providing complete visibility and control across all distributed devices.
Reliable platform-to-device sync
With secure cloud communication and built-in device discovery, the system enables seamless synchronization. All EM devices now receive verified packages consistently, avoiding version mismatches and failed deployments.
Faster technical support and maintenance
With real-time access to system logs and secure terminal sessions, engineers can troubleshoot and resolve issues remotely. This reduces delays and eliminates the need for on-site visits while giving product teams greater control over live environments.
THE CLIENT’S REQUEST
- Build a secure monitoring system for AI-powered robotic deployments
- Enable remote diagnostics, logging, and terminal-level access
- Provide robust package management and version control
- Simplify onboarding for new devices via mobile
- Ensure privacy, uptime, and scalability
WHAT WE DID
✓ Created a cloud-native RDMP with real-time monitoring and SSH-level access
✓ Enabled remote diagnostics with logging, error tracking, and command execution
✓ Developed secure package management with version control
✓ Delivered mobile-based onboarding for seamless device setup
✓ Designed a scalable AWS architecture ensuring uptime and data privacy
Yurii VasylkivPresident, Representative Director at Eleteria Inc.We’re genuinely impressed by the outcome of this project and look forward to future collaborations with the Relevant Software team.
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