We design, build, and commission custom ML, robotics, and IoT systems for construction, energy, and industrial sectors — from technical specification through to production deployment and site integration.
Representative systems we have engineered and deployed across construction, infrastructure, and industrial operations.
A sensor-fusion system integrating LiDAR, GPS, and camera feeds to produce a continuously updated digital twin — enabling volumetric tracking, deviation detection, and spatial analysis against BIM models.
Computer vision and IoT wearable system for continuous PPE detection, exclusion zone enforcement, and proximity hazard alerting — integrated with site access control and HSE reporting pipelines.
ML-driven collision avoidance and path optimisation for cranes, excavators, and mobile plant — with real-time geo-fencing, operator alerting, and fleet telemetry aggregation.
A live risk scoring engine that ingests multi-sensor IoT feeds — environmental, structural, and occupancy — to compute a continuous Site Risk Index and trigger tiered operational responses.
Vibration sensor and thermal imaging pipeline feeding anomaly detection models trained on equipment-specific failure signatures — delivering advance warning days before mechanical failure occurs.
Unified operations platform aggregating IoT telemetry, productivity metrics, and compliance KPIs from across the site — enabling real-time operational decisions from a single instrumented interface.
A disciplined four-phase process that takes industrial clients from operational challenge to a production-deployed, validated system — without the delays of internal R&D programmes.
We assess your operational environment, existing sensor infrastructure, data flows, and integration constraints. Output: a formal technical specification and delivery programme.
Our team builds the system to specification — hardware integration, ML pipeline, control logic, and interfaces — delivering a functional prototype within 2–4 weeks.
The system operates under live site conditions. We instrument performance against defined benchmarks, iterate on model accuracy, and produce a validation report.
We commission the production system, integrate with your existing plant and data infrastructure, and deliver full technical documentation and handover support.
Multi-protocol sensor connectivity across LiDAR, RFID, vibration probes, gas detectors, and wearables — via MQTT, OPC-UA, Modbus, and custom edge gateways.
Custom model training and deployment on NVIDIA Jetson and embedded edge hardware — sub-50ms inference latency with on-premise data residency for regulated environments.
Object detection, pose estimation, and scene classification (YOLOv8, ViT, custom architectures) trained on site-specific conditions and validated against operational safety criteria.
SLAM-based mapping pipelines that process raw depth sensor streams into live, queryable 3D site models — synchronised with BIM references and updated in real time.
Systems engineered, field-validated, and operating on live industrial and construction sites.
Deployed an edge-AI proximity detection system monitoring worker exposure to unguarded edges and void openings at height. Fall-risk exclusion zones update dynamically as floor plates and scaffolding change configuration.
SLAM-based LiDAR mapping system operating in GPS-denied underground environments. Structural convergence monitored continuously at millimetre precision, with ML anomaly detection alerting to ground movement deviations ahead of critical thresholds.
Integrated contractor management system for complex plant shutdowns — real-time crowd density mapping, automated permit-to-work zone enforcement, and gas-detection proximity alerting across multi-discipline contractor crews.
Volumetric progress tracking system for bridge, road, and dam programmes — comparing continuous LiDAR survey output against BIM reference models and generating deviation reports integrated into programme scheduling tools.
Submit your operational challenge and our engineers will respond with an initial scoping assessment within one business day.
Response within one business day. All enquiries are treated as confidential.