From corridor pilot to full network management — start small, scale with confidence.
All tiers include the ATLAS.Pave platform, AiOT device deployment, AI detection, and auto-generated PDF reports. Your survey data is stored on Singapore-based servers, fully isolated per client, and never shared with third parties. Contact us for custom government and enterprise agreements.
Evaluate ATLAS.Pave on a single road segment. Everything needed for a rigorous proof-of-concept.
Network analysis for road authorities managing a corridor or district — full reporting suite with multi-lane and comparative analytics.
Intelligent PMS for agencies requiring predictive modelling, digital twin simulation, and continuous network monitoring.
No matter which tier you choose, you are getting access to the same industry-leading AI, the same ASTM-compliant methodology, and the same team that built it.
Portable device mounted on a survey vehicle. Our team handles setup, calibration, and survey execution — you receive processed data, not raw footage.
Deep-learning defect classification + Surface Distress Index (Bina Marga) and Pavement Condition Index (ASTM D6433-07) computation across all sample units. Includes GPS coordinates per detection, dimensions in mm, and condition ratings.
Publication-ready analytical reports delivered within hours of survey completion — Surface Distress Index (Bina Marga), Pavement Condition Index (ASTM), Strip Map, and Comparative Analysis, all branded for your organisation.
Everything you need to know before getting started with ATLAS.Pave.
Surveys typically run up to 50 km/h. A 10 km corridor can be completed in under an hour of drive time. Processing and report delivery follows within hours of survey completion.
No. The AiOT device operates from a normal survey vehicle in active traffic. There is no requirement to close, restrict, or cone the road.
Yes. ATLAS.Pave computes PCI strictly per ASTM D6433-07 — the same internationally recognised standard used for manual inspections — producing fully auditable, defensible results.
Yes. The AI model detects and classifies distress types for both AC (asphalt concrete) and PCC (Portland cement concrete) surfaces, with separate analysis tables in all reports.
Pricing is scoped per project based on network size, number of lanes, survey frequency, and required deliverables. Contact us for a tailored proposal — all quotes are obligation-free.
Yes. PAGI Initiative has active projects across Singapore, Indonesia, Malaysia, Germany, and the UAE. We are equipped for international deployment with local coordination support.
