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IoT & Robotics
Connected devices and robotic systems that are secure by design, compliance-aware and built on Responsible AI principles.
Discuss your project- 01Device identity
- 02Encrypted communication
- 03Signed updates
- 04Responsible AI by design
From sensor to cloud to robot
IoT platforms
Device connectivity, telemetry, dashboards and alerting — from a handful of sensors to large fleets.
Industrial & smart-space solutions
Monitoring and control for facilities, equipment and environments, integrated with your existing systems.
Robotics & automation
Software for robotic workflows, including perception and decision-making with clear safety limits.
Edge AI
Run models close to the device for low latency and better privacy, with monitoring for drift and failure.
Companion apps
Web and mobile applications for configuring, monitoring and supporting devices in the field.
Lifecycle & support
Provisioning, updates, monitoring and end-of-life handling for devices over their working life.
Monitor and control with confidence
Dashboards and controls that give operators clear visibility of connected equipment — with access control and audit trails behind every action.
Security is part of the architecture
Connected devices extend your attack surface. We design for that from the first diagram.
Device identity
Unique, verifiable identity for every device, with secure provisioning and revocation.
Encrypted communication
Mutual authentication and encryption between devices, gateways and cloud services.
Secure updates
Signed firmware and software updates with rollback, so devices can be patched safely.
Least privilege
Devices and services get only the access they need, segmented from the rest of your network.
Monitoring & response
Logging, anomaly detection and incident procedures that cover devices as well as servers.
Data protection
Data minimisation, retention limits and access controls that respect privacy law.
Built with the rules and the people in mind
Where devices and robots use AI to make or support decisions, we apply the same Responsible AI practices as anywhere else — with extra attention to physical safety.
- Human oversight and safe fallback behaviour for AI-driven actions
- Explainable decisions and tamper-evident logs for review
- Testing for bias, robustness and safety before and after deployment
- Design with reference to recognised frameworks such as NIST AI RMF, ISO/IEC 42001, IEC 62443 and the OWASP IoT guidance
- Awareness of applicable regulation, including India's DPDP Act and the EU AI Act where relevant
Planning a connected product or robotic system?
Let's talk through the architecture, risks and requirements early.