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Build Smarter. Safer. Faster — with AI Precision

Transform every construction site into a data-driven ecosystem powered by real-time analytics, intelligent automation, and predictive insights. Our AI Construction & Infrastructure Solutions deliver precision through AI site monitoring, RFQ automation, and progress analytics.

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Before AI v/s After AI

KPI COUNTERS – THE SCOREBOARD

Avg. Project Delay/Month ↓ 10 days
Before AI: 27 Days
After AI: 17 Days
Safety Non-Compliance Incidents / Site ↓ 42%
Before AI: 14 Incidents
After AI: 8 Incidents
Product Delay Time
Before Light After Light Before Dark After Dark
Safety Incidents / Month
Before RFQ (Light) After RFQ (Light) Before RFQ (Dark) After RFQ (Dark)
Cost Overrun Ratio
Before RFQ (Light) After oee (Light) Before RFQ (Dark) After oee (Dark)

Why Change?

Pain-Point Matrix

Project Delays
Predictive analytics detect scheduling risks early and auto-reschedule resources.
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Project Delays
Integrated Gantt prediction models simulate alternate task sequences to recover lost time instantly.
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Manual RFQs
NLP-powered automation creates, distributes, and ranks RFQs in seconds.
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Manual RFQs
Large-language models extract specifications, score bids, and auto-recommend the most compliant vendor.
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Safety Non-Compliance
Vision AI monitors PPE use and unsafe behavior in real time.
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Safety Non-Compliance
Edge cameras flag violations within milliseconds and sync alerts to a central safety dashboard.
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Cost Overruns
Forecasting AI predicts budget drift and suggests corrective actions.
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Cost Overruns
Dynamic price feeds and consumption patterns drive automated budget rebalancing each week.
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Limited Progress Visibility
Drone and IoT feeds update live 3D progress dashboards.
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Limited Progress Visibility
Photogrammetry converts aerial imagery into measurable surface progress and percentage completion metrics.
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Communication Gaps
Conversational copilots connect engineers, vendors, and planners.
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Communication Gaps
Embedded chat AI pulls project data and delivers instant contextual responses inside collaboration tools.
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Inefficient Material Usage
Predictive inventory models align delivery with usage.
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Inefficient Material Usage
AI correlates weather, task order, and supplier lead-times to schedule just-intime material drops.
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Workforce Productivity Drops
Performance analytics detect idle time and re-assign crews dynamically.
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Workforce Productivity Drops
Wearable and sensor data feed into real-time labor-efficiency heatmaps to balance workloads.
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Environmental & ESG Tracking
AI monitors emissions, waste, and energy consumption.
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Environmental & ESG Tracking
Provides sustainability dashboards aligned with LEED and ESG frameworks.
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See the data fly

Workflow Spotlight

Production Lane Icon
Site Monitoring Lane

Step 1

Data Acquisition

Drone, IoT, and CCTV feeds capture live site visuals and metrics in real-time.

Previous Step Next Step

Commercial Lane Icon
Procurement & RFQ Lane

Step 1

Document Digitization

RFQs, BOQs, and vendor bids are auto-ingested from PDFs, emails, and ERPs.

Previous Step Next Step

AI Solutions

AI Site Monitoring

Key points

  • AI construction monitoring.
  • AI site analytics.

RFQ & Procurement Automation

Key points

  • AI RFQ automation
  • Procurement AI engine.

Material Forecasting & Logistics

Key points

  • AI models predict material demand by phase and scope.
  • Automates reorder alerts based on site consumption.

Predictive Maintenance

Key points

  • Monitors equipment health using vibration and telemetry data.
  • Predicts breakdowns before failure using anomaly detection.

ESG & Sustainability Tracking

Key points

  • Monitors carbon footprint of construction activities.
  • Tracks material waste and energy usage through IoT data.

Workforce Analytics

Key points

  • Tracks attendance and on-site productivity using edge sensors.
  • Detects skill use and labor fatigue patterns.

Document & Contract Intelligence

Key points

  • Automatically pulls key contract details.
  • Flags missing documents or outdated revisions.

Under the hood

Technical Architecture

  • Smart cameras and telemetry units for data collection.
  • Edge inference via NVIDIA Jetson and Azure IoT Edge.
  • Offline mode for low-connectivity regions.

  • Predictive modeling for project analytics and safety risk scoring.
  • Vision AI for real-time site monitoring.
  • NLP automation for RFQs and documentation.

  • Multi-cloud deployment (AWS, Azure, GCP).
  • REST and GraphQL APIs for ERP/CRM integration.
  • Scalable data lakehouse with Snowflake and Databricks.

  • Collects feeds from drones, IoT sensors, and ERP systems.
  • Processes data through Kafka streams and Delta Lake for reliability.
  • Enables <200ms latency event ingestion for instant visibility.

  • Automated retraining pipelines for continuous model accuracy.
  • Version control via MLflow and Airflow.
  • Compliance monitoring and model explainability.

  • Interactive dashboards for safety, cost, and progress insights.
  • Embedded AI copilots for conversational analytics.
  • Mobile-friendly visualization for field supervisors.

Implementation Blueprint

Phase 1: Site & Data Assessment

  • Tool walk‑throughudit existing site data sources, IoT sensors, and reporting workflows.
  • Identify inefficiencies across monitoring, procurement, and safety systems.
  • Define AI integration scope and data readiness roadmap.

Phase 2: Model Training & Pilot Setup

  • Train AI models on project progress, RFQ timelines, and risk indicators.
  • Deploy a pilot for site monitoring and predictive analytics.
  • Validate accuracy using live site data and visual metrics.

Phase 3: System Integration

  • Integrate AI with ERP, BIM, and project management tools.
  • Automate workflows for procurement, scheduling, and compliance.
  • Configure dashboards for progress, cost, and safety KPIs.

Phase 4: Workforce Enablement & Optimization

  • Train engineers and project teams on AI-driven monitoring tools.
  • Optimize processes for predictive planning and real-time insights.
  • Establish feedback loops for data refinement and performance tracking.

Phase 5: Continuous OptimisationContinuous Improvement Cycle

  • Retrain models with fresh project data.
  • Extend AI to more sites, assets, and supply chains.
  • Automate sustainability, compliance, and performance reports.

ROI Calculator

Yield Gain:

Downtime Savings:

Energy Savings:

Payback:

Trust & Compliance Badges

G20 Light G20 Dark
Ministry of Finance, Government of India Ministry of Finance, Government of India
Ministry of Tourism, Government of India Ministry of Tourism, Government of India
Government of New South Wales | Investment NSW Government of New South Wales | Investment NSW
Sulzer Sulzer
The Cosmos Co-Operative Bank Limited The Cosmos Co-Operative Bank Limited

The Fast Lane

Accelerate your AI adoption in construction with modular deployment kits. Pre-configured AI modules for monitoring, procurement, and analytics let you go from pilot to production in under 6 weeks without disrupting ongoing operations.

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Why Choose Us

Proven Results,
Trusted by Experts

Futuristic Visuals

Our dashboards bring construction sites to life visualizing progress, safety zones, and resource allocation with modern clarity and speed.

Trusted by Industry Leaders

Used by EPC contractors, real estate developers, and infrastructure firms aligned with global regulatory and safety compliance frameworks.

Loss Aversion

Without AI:

RFQs delay procurement Site risks go unnoticed Project timelines slip

We help eliminate leakage across time, cost, and safety.

Small Steps, Big Impact

A 60-minute walkthrough shows how AI-driven monitoring and analytics accelerate delivery and protect margins.