Transforming reactive site reporting into predictive, real-time control — every project, every tower, every decision, informed the moment it matters.
Five AI modules unified into a single command center — giving every stakeholder exactly the intelligence they need, the moment it matters.
Biometric face-recognition attendance — zero manual roll call. PPE compliance flagged within 2 seconds of violation. Anonymised density heatmaps reveal congestion and fatigue zones.
YOLOv8 detects falls, fights and fire in real time. Near-miss events auto-logged with GPS coordinates (<2m). One-click site evacuation broadcast to all wearables.
Robot dog scans entire floors weekly — no manual survey. PointNet++ segments structural elements for deviation mapping. Colour-coded overlay: green = on plan, red = rework required.
CANBUS streams OEE, fuel, load and boom-angle live. XGBoost flags maintenance need 5–7 days before failure. Geofence alerts stop theft and unauthorised site exits.
Mask R-CNN counts rebar, timber and block stacks visually. JIT triggers auto-PO when stock falls below threshold. RFID gate readers catch material removal without sign-out.
— Head of Projects, ConstructAI
Request Demo →The construction industry still runs on reactive reporting — weekly site walks, manual spreadsheets, and delayed data that arrives too late to act. By the time issues surface, corrective action is already behind.
ConstructAI transforms the model: from reactive reporting to predictive, real-time control across every project, every asset, and every worker on site.
Download Full BrochureSchedule slippage goes undetected for weeks — triggering liquidated damages and client disputes before anyone acts.
Workers wait on materials, instructions, or equipment. Without real-time tracking, supervisors can't redistribute before losses compound.
As-built conditions deviate from BIM unnoticed. Late-stage discovery means demolition and redo — construction's most preventable cost drain.
Heavy equipment idles undetected, gets misused across sites, or disappears. Without telematics and geofencing, every asset is a blind spot.
4K PTZ cameras · DJI M30T drones · LiDAR robot dog · UWB Guardhat wearables · CANBUS telematics · RFID gates · Nokia 5G eNodeB
MQTT/Kafka event streams · Apache Flink real-time processing · Digital Twin sync engine · Drools rule engine · REST & GraphQL API Gateway
YOLOv8 vision · FaceNet biometrics · PointNet++ LiDAR segmentation · XGBoost predictive maintenance · Mask R-CNN inventory · DoWhy causal AI — all in Kubernetes
React 18 multi-project dashboard · Unreal Engine 5 digital twin viewer · WebRTC live video · Role-based access for Admin / PM / Safety / Equipment / Viewer
On pilot projects through early AI intervention and causal recommendations.
Within 90 days of full deployment across all monitored sites.
From real-time workforce reallocation and fatigue zone detection.
Typical return achieved within 12 months of hard launch.
Deploy Nokia 5G private network, mount 20× 4K PTZ cameras, commission LiDAR robot dog (Boston Dynamics Spot), install NVIDIA A10 GPU edge server, integrate Revit/IFC BIM model. ✓ Live video + LiDAR point cloud streaming.
Connect CANBUS crane and excavator telematics, train site-specific YOLO model on PPE and worker classes, provision UWB Guardhat tags for 50 workers, deliver dashboard prototype. ✓ PPE detection >95%, workforce tracked real time.
Activate all five AI modules. Human supervisors review every flag. Run AI outputs in parallel with manual inspection to validate false-positive rate and BIM deviation thresholds. ✓ False-positive rate <5%.
Enable automated alerts, predictive maintenance queue and JIT material POs. Train safety officers, PMs and equipment managers. Full site go-live. ✓ ≥10% reduction in idle time.
Every sensor, camera and edge node authenticates via X.509 certificates. MQTT connections enforce TLS 1.3 with OCSP-based certificate revocation.
Traffic between site, edge and cloud is VLAN-segmented and routed through Zscaler or Palo Alto NGFW. AES-256 IPsec VPN carries all site-to-cloud telemetry.
Data at rest in MinIO and InfluxDB is AES-256 encrypted. All API traffic uses TLS 1.3. Live video streams use SRTP — encrypted from camera to viewer.
Five least-privilege roles (Admin, PM, Safety, Equipment, Viewer) enforced via JWT claims at the API gateway. Role changes take effect immediately.
Worker identities are pseudonymised — face templates never leave the edge node. Workers can opt out via badge flag. Cameras apply automatic face-blur before footage reaches cloud.
Every AI decision, alert acknowledgement, and dashboard action is written to AWS CloudTrail or Azure Monitor with tamper-evident signatures — legally defensible.
Book a 30-minute executive walkthrough and we'll map the platform to your current project portfolio.
