Edge applications and AI integration
Connect application software and on-device intelligence with the embedded platform.
Services
Software & AI Development
Software that connects perception, decision-making, devices and operations.
Bryantech approach
Integrated thinking. Practical delivery.
We bring the relevant engineering disciplines together around the application, measurable requirements and a realistic path to production.
Autonomous control logic
Integrate decision-making and application behaviour with sensing and control.
Device, fleet and cloud connectivity
Link connected devices, gateways and cloud applications around the data flow.
Engineering in practice
Connect field devices to useful information.
An IoT system includes more than wireless connectivity. Device identity, data handling, user interfaces and ongoing operation must be designed together so the platform fits its application and support model.
Applications
Smart buildings, energy monitoring, parking, industrial equipment and connected devices.
What the work covers
Technical scope tailored to your system and development stage.
Devices & gateways
Integrate sensors, processing, local interfaces and gateways. Select BLE, Wi-Fi, cellular, NB-IoT or UWB according to the deployment requirements.
Data platform
Define device messages, APIs, storage and telemetry processing. Organize data for monitoring, analysis and application workflows.
User applications
Develop web, iOS and Android interfaces for device visibility, configuration, control and alerts.
Operations & access
Plan device management, access control, remote support and deployment on the agreed cloud environment, including AWS or Microsoft Azure.
How we develop it
A structured sequence with review points and recorded decisions.
- 01
Map the use case
Identify users, devices and data flows.
- 02
Build interfaces
Develop device, gateway and API integration.
- 03
Connect workflows
Implement applications and monitoring.
- 04
Commission
Verify connectivity, access and operations.
What you receive
The agreed package supports design review, integration and the next project stage.
Connected solution
Device integration, application code and API documentation.
Deployment package
Environment configuration, operating guidance and integration results.
Engineering in practice
Connect field devices to useful information.
An IoT system includes more than wireless connectivity. Device identity, data handling, user interfaces and ongoing operation must be designed together so the platform fits its application and support model.
Applications
Smart buildings, energy monitoring, parking, industrial equipment and connected devices.
What the work covers
Technical scope tailored to your system and development stage.
Devices & gateways
Integrate sensors, processing, local interfaces and gateways. Select BLE, Wi-Fi, cellular, NB-IoT or UWB according to the deployment requirements.
Data platform
Define device messages, APIs, storage and telemetry processing. Organize data for monitoring, analysis and application workflows.
User applications
Develop web, iOS and Android interfaces for device visibility, configuration, control and alerts.
Operations & access
Plan device management, access control, remote support and deployment on the agreed cloud environment, including AWS or Microsoft Azure.
How we develop it
A structured sequence with review points and recorded decisions.
- 01
Map the use case
Identify users, devices and data flows.
- 02
Build interfaces
Develop device, gateway and API integration.
- 03
Connect workflows
Implement applications and monitoring.
- 04
Commission
Verify connectivity, access and operations.
What you receive
The agreed package supports design review, integration and the next project stage.
Connected solution
Device integration, application code and API documentation.
Deployment package
Environment configuration, operating guidance and integration results.
From data to action
Interfaces built around the user’s task.
Connect device status, alerts, configuration and control in a consistent web or mobile workflow. Define user roles and operating requirements alongside the devices and cloud services.
Engineering in practice
Security across devices, applications and operations.
Cybersecurity scope is aligned with the assets, operating constraints and business processes being protected. Work can cover assessment, implementation, operational support or governance for enterprise and industrial environments.
Applications
Enterprise IT, cloud applications, industrial OT and IoT deployments.
What the work covers
Technical scope tailored to your system and development stage.
Assess & prioritize
Review assets, architecture, vulnerabilities and exposure. Organize findings into a risk register and remediation priorities.
Implement protection
Support network and endpoint controls, access management, cloud configuration and application/API protection.
Protect OT systems
Plan segmentation, boundary controls, protocol monitoring and hardening while considering operational requirements.
Respond & govern
Support logging, alert review, incident investigation, recovery procedures, supplier requirements and staff awareness.
How we develop it
A structured sequence with review points and recorded decisions.
- 01
Scope
Agree assets, responsibilities and assessment boundaries.
- 02
Assess
Record findings and remediation priorities.
- 03
Implement
Apply the agreed controls and procedures.
- 04
Review
Verify changes and prepare operating guidance.
What you receive
The agreed package supports design review, integration and the next project stage.
Assessment outputs
Asset records, risk registers, findings and remediation plans.
Operational outputs
Security configurations, monitoring guidance, response procedures and training materials.
Build what comes next