Personnel monitoring
From real-time location tracking to AI-powered safety insights
Complex building construction and management solutions
The data intelligence layer for your entire construction portfolio
CAD&BIM data and software solutions
From 3D models to AI-powered 4D/5D planning and control
Inspection and monitoring solutions
Harnessing AI, drones, and IoT for predictive site intelligence
Digital twins and predictive maintenance
From reactive repairs to proactive, AI-powered predictive maintenance.
Personnel monitoring
- Real-Time Worker Location Tracking
- AI-Powered Worker Behavior & Safety Compliance Monitoring
- Fatigue and Health Monitoring
- Worker Productivity and Task Tracking
Approaches
- GPS-Based Tracking: Used for outdoor sites, providing real-time worker locations via mobile devices or wearables.
- RFID & NFC Tags: Used for restricted access areas and entry/exit tracking.
- BLE Beacons & Ultra-Wideband (UWB): High-accuracy indoor tracking solutions.
- Geofencing & Zone Monitoring: Alerts when workers enter/exit specific zones.
- Computer Vision & AI: AI models analyze live CCTV footage for PPE detection and safety compliance.
- AI-Based Fatigue Prediction: Machine learning models analyze biometric and activity data to predict exhaustion.
- Automated Check-In/Check-Out via Geofencing: Workers are tracked based on presence in specific zones.
- AI-Based Productivity Analysis: Uses machine learning to analyze patterns in worker movement and time spent on tasks.
Data Types
- Location Data (GPS, RFID, UWB, BLE)
- Time Stamps
- Worker ID & Site ID
- Motion & Movement Logs
- Geofencing Alerts
- Video & Image Data (from CCTV, drones, or wearables)
- PPE Compliance Data (Helmet, Gloves, Vest Detection)
- Worker Movement Patterns
- Incident Reports & Safety Alerts
Communication
- MQTT & AMQP
- HTTP/WebSockets
- RTLS Protocols
- LoRaWAN/NB-IoT
- RTSP & WebRTC
Technologies
- GPS & Mapping: Google Maps API, Mapbox, OpenLayers.
- BLE & UWB: BlueZ (Linux Bluetooth stack), Nordic SDK, Decawave UWB SDK.
- Geofencing: Firebase Geofencing, Turf.js.
- Data Processing: Apache Kafka, Apache Flink.
- Computer Vision: OpenCV, YOLOv8, TensorFlow, PyTorch, MediaPipe.
Integration Experience
- ERP & Workforce Management Systems (SAP, Oracle Primavera)
- Construction Project Management Software (Procore, Autodesk BIM 360)
- Emergency Response Systems
Complex building construction and management solutions
- Data-Centric Construction Management & Custom Data Pipelines
- Smart Functionality Development for Existing Proprietary & Open-Source Construction Management Platforms
- Construction Site Monitoring & Safety Solutions
- AI-Powered Construction Cost Estimation & Budgeting
- Construction Supply Chain & Procurement Management
Approaches
- Custom ETL Pipeline for Construction Data Aggregation
- AI-Powered Predictive Analytics for Construction Risk Management
- Custom Construction Dashboards & Business Intelligence (BI) Tools
- IoT-Based Predictive Maintenance Module for Building Management Software
- Smart Budget Tracking & Cost Forecasting for ERP-Integrated Construction Platforms
- Automated Quantity Takeoff from 3D Models & Plans
- AI-Powered Demand Forecasting & Inventory Optimization
Data Types
- BIM Models (IFC, RVT, DWG)
- Project Schedules & Costs (Primavera P6, MS Project, Procore, CSV, JSON, XML)
- Sensor Data (IoT readings for environment, structural monitoring, RFID, GPS, BLE)
- Construction Progress Photos, Drone Footage & LiDAR Scans
- Workforce Productivity & Payroll Data
Technologies
- Data Processing: Apache Spark, Pandas, PyArrow, Dask
- ETL & Data Pipelines: Apache Airflow, AWS Glue, dbt
- BI & Visualization: Tableau, Power BI, Superset, Dash (Plotly)
- AI/ML for Predictive Analytics: TensorFlow, Scikit-learn, XGBoost
CAD & BIM data and software solutions
- BIM-Based 3D Modeling & Design Automation
- BIM Data Management & Collaboration Platforms
- AI-Powered Clash Detection & Design Validation
- 4D & 5D BIM for Construction Planning & Cost Estimation
- Automated Drawing & Document Generation
- BIM-Based AR/VR solutions
Approaches
- Parametric Modeling: Automating geometry creation based on predefined parameters.
- Algorithmic Design: Using computational methods (e.g., generative design) to create optimized structures.
- Rule-Based Automation: Applying predefined design rules to automate repetitive tasks.
- Common Data Environment (CDE) – Centralized storage for BIM data.
- Rule- and AI-Based Clash Detection
- Time-Based BIM Modeling (4D) – Integrating schedules with models.
- Cost Data Integration (5D) – Adding real-time material and labor costs.
- AI-Powered Spatial Mapping – Enhancing AR object placement accuracy.
Data Types
- IFC (Industry Foundation Classes) – Open standard for BIM interoperability.
- Revit Families (RFA), RVT – Autodesk Revit model files.
- DWG, DXF – AutoCAD drawing formats.
- OBJ, STL, GLTF – 3D model formats for visualization.
- Construction Documents (PDF, DOCX, XLSX)
- Point Cloud Data (E57, LAS, PTS)
- Metadata (XML, JSON, CSV) – For rule-based validations.
Technologies
- Autodesk Forge API – For 3D visualization and data extraction.
- Dynamo (for Revit) – For scripting and automating BIM workflows.
- Speckle – Open-source platform for BIM data exchange.
- Three.js / Babylon.js – For web-based 3D rendering.
- Autodesk Forge BIM360 API – For cloud BIM model management.
- Speckle – Real-time BIM collaboration.
- Neo4j / GraphDB – For relationship-based BIM data storage.
- TensorFlow / PyTorch – For AI-based document processing.
- IfcOpenShell – For parsing IFC data in AI models.
- Primavera P6 API – For integrating schedules with 4D BIM.
Inspection and monitoring solutions
- AI-Powered Construction Site Monitoring
- UAV & Drone-Based Site Inspection
- IoT-Enabled Structural Health Monitoring (SHM)
- AI-Based Defect Detection & Quality Control
- GIS-Based Construction Site Analysis & Environmental Monitoring
Approaches
- Computer Vision & AI Analytics: Using AI models to analyze CCTV footage for safety compliance, worker movement, and site security.
- PPE Detection: AI models recognize helmets, vests, gloves, and masks.
- Object & Activity Recognition: Detecting unauthorized personnel, unsafe behavior, or anomalies.
- Autonomous Flight Planning: AI-powered UAV navigation based on predefined waypoints.
- Real-Time Streaming & Data Processing: Edge computing for on-board data analysis.
- Embedded Structural Sensors: Wireless sensors measuring vibration, tilt, strain, temperature, and humidity.
- ThingSpeak / AWS IoT / Azure IoT: Cloud-based IoT data management.
Data Types
- Video Streams: From fixed and mobile cameras (RGB, thermal).
- Image Data: Captured at intervals for AI analysis.
- Worker GPS & RFID Data: For tracking and geofencing.
- Sensor Data: IoT sensors measuring temperature, noise, and environmental risks.
- High-Resolution RGB Images & Video (4K, 8K).
- LiDAR Point Cloud Data (XYZ, intensity).
- Thermal Imaging Data (Infrared for heat mapping).
- Vibration & Strain Data (Accelerometer, gyroscope, strain gauges).
- Temperature & Humidity Levels (Concrete curing, environmental effects).
- Acoustic Emission Data (Crack detection using ultrasound sensors).
- Structural Tilt & Displacement Data (Inclination sensors, GPS).
Technologies
- OpenCV: Image processing & AI model deployment.
- YOLO / Detectron2 / TensorFlow / PyTorch: Object detection & recognition.
- FFmpeg / GStreamer: Video stream processing.
- Kafka / RabbitMQ: Event-driven AI alert management.
- Docker & Kubernetes: Scalable AI model deployment.
- OpenDroneMap / Pix4D / DroneDeploy: Photogrammetry processing.
- AirSim / ROS / PX4: UAV simulation & control.
- GDAL / Rasterio: Geospatial data handling.
- ThingSpeak / AWS IoT / Azure IoT: Cloud-based IoT data management.
Integration Experience
- BIM Platforms (Autodesk BIM 360, Revit): AI insights linked to digital site models.
- Construction Management Software (Procore, PlanGrid): Automatic report generation.
- ERP & Workforce Management Systems (SAP, Oracle Primavera): Safety & productivity tracking.
Digital twins and predictive maintenance
- Digital Twin for Smart Building Projects
- AI-Powered Predictive Maintenance for Construction Equipment
- Digital Twin for Smart Infrastructure & Civil Engineering
- Building custom modules on top of existing digital twin solutions
- Digital twin for critical infrastructure networks
- Digital Twin & BIM-Based Facility Management
- SCADA & IoT-based monitoring for power grids, pipelines, and fiber networks.
- GIS-based visualization for utility asset management.
Approaches
- AI-driven simulations for energy efficiency, occupancy optimization, and security monitoring.
- Integration with BIM & GIS for facility management and asset tracking.
- Predictive analytics for HVAC, lighting, and maintenance scheduling.
- Multi-physics simulations for load, stress, and seismic impact.
Data Types
- IoT sensor data (temperature, humidity, occupancy, CO2 levels).
- BIM models (IFC, Revit, CAD).
- Energy consumption & HVAC performance logs.
- Structural stress & vibration data.
Technologies
- BIM Integration: Bentley iTwin, Forge API.
- Cloud-based analytics: Azure Digital Twins, AWS IoT TwinMaker.
- AI-powered insights: IBM Maximo Asset Monitor (for building health analytics).
- Visualization & spatial analysis: Hexagon Smart Digital Realities.
- Digital Twin Simulation: Ansys Twin Builder (multi-domain system modeling).