The Road That Came With Proof
Pre-Construction · Construction · Post-Construction
Roads built with proof,
not paperwork.
From baseline surveys to post-construction defect scans, Cognecto provides the intelligence layer for highway programs. It's BOQ-linked, audit-ready, and active across PMGSY, NHAI, and state corridors.
Phase 01
Pre-Construction
PMIS · BOQ · Baseline survey
Phase 02
During Construction
Roller passes · Machinery · Progress
Phase 03
Post-Construction
Defect detection · Condition rating
Evidence layer
Cortex Knowledge Graph
Every event. Audit-ready.
PMGSY · NHAI · State RRDAs
7L+ km
Of rural roads where our monitoring framework is applicable under PMGSY guidelines.
Rework cost reduction · Package 6152
40%
Reduction in rework costs using real-time AI to catch deviations before the next layer seals the defect.
Inspection time · AI vs manual
60%
Less inspection time vs traditional methods, delivering higher accuracy and geo-tagged audit trails.
Phase 01
Pre-Construction Intelligence
Plan with data.
Not assumptions.
Most road construction issues are baked in early: missed obstructions, outdated BOQ surveys, or missing baseline docs.
Our pre-construction module fixes this before work begins. AI field surveys deliver ±5cm accurate width profiles, map chainage-level obstructions, and create an audit-ready baseline that feeds straight into your PMIS.
Road width profiling — AI-measured, ±5cm precision across entire route
Obstruction detection — poles, trees, encroachments mapped at chainage level
KML output — directly compatible with OMMAS and NRIDA reporting systems
Baseline documentation — geo-tagged, timestamped, court-admissible
Project Management Information System
PMIS — the operating backbone
PMIS — the operating backbone
of every road package.
PMIS · Project Setup
Centralised Project Creation
Define scope, timelines, and budgets centrally. Assign accountability via role-based access, keeping all drawings and approvals linked to the chainage and BOQ line.
BOQ · Cost Control
BOQ Creation & Real-Time Tracking
Import BOQ items from Excel/ERP. Line items link directly to field work; as sensors verify a compaction pass, the BOQ item auto-updates. Variances are flagged instantly.
Milestones · Schedule
Milestone Tracking & Delay Alerts
Set deadlines for every package. Dashboards track physical and financial progress, while automated escalations alert your team the moment data diverges from the plan.
Asset Allocation · Fleet
Equipment Allocation & Health Scoring
Allocate machinery based on demand and shift schedules. IoT health scoring tracks equipment condition to flag breakdowns early, improving asset lifecycles by up to 25%.
BOQ Templates · Standardisation
Standardised BOQ Templates
Use pre-built templates for PMGSY methods (GSB, WBM, BC, CC) to cut setup time by 35%. They ensure consistent estimates and maintain audit-ready traceability.
Reporting · OMMAS · NRIDA
Automated Reports & System Integration
Auto-generate reports formatted for OMMAS and Ministry standards. All stakeholders view the same verified data without manual assembly.
25%
Higher on-time milestone achievement
35%
Faster project initialisation with BOQ templates
15–20%
Improved budget control vs baseline
30–40%
Faster project setup across packages
Phase 02
Construction Monitoring & AI Supervision
Every layer verified
before the next one begins.
Quality is decided in the 30 minutes after a layer is laid. Miss that window, and defects are sealed in.
Cognecto combines IoT and vision AI to verify machinery, count compaction passes, confirm sequences, and spot spread anomalies in real time. On Package 6152, this slashed rework by 40% with same-day fixes.
Roller pass counting — GPS-verified per chainage, every lane, every layer
FDR/WBM sequence verification — compaction, spreading, rolling all confirmed
Cement spread uniformity — deviation flagged before roller arrives
Progress against BOQ — layer-by-layer completion linked to billing triggers
PACKAGE 6152 · FDR Process Verification · AI-confirmed compliance
Real-time impact: AI alerts enabled same-day corrective action across all 9.23 km of Package 6152 — preventing quality failures that would have been undetectable post-construction.
Compaction · All lanes
Roller Pass Verification per Chainage
Every roller pass is counted per chainage, lane, and layer against the BOQ schedule. Real-time flags catch under/over-rolling, yielding a geo-tagged pass map that withstands audit.
Spread · Quality
Cement Spread Uniformity Detection
Photon identifies spread thickness anomalies and coverage gaps as the cement spreader moves. Deviations are geo-tagged before the roller arrives, ensuring undisputed records.
Progress · BOQ
Visual Progress Recording vs BOQ
AI confirms what was built, when, and by whom. Layer completion is logged against BOQ items to flag incomplete work. This completely replaces manual inspection reports for NHAI/PMGSY audits.
Fleet · Machinery
Machinery Compliance & Fleet Tracking
Real-time GPS tracks every roller and tipper. Boson verifies correct deployment per BOQ, tracks idle time, and alerts on non-compliance before shift reports are filed.
Safety · HSE
On-Site Safety & PPE Monitoring
Photon monitors PPE (hardhats, vests, boots) and enforces no-go perimeters. Every safety event is timestamped as an immutable record, replacing paper-based rounds.
Alerts · Cortex
Real-Time Deviation Alerts
Geo-fenced alerts fire if equipment deviates or a quality threshold is breached. Alerts reach supervisors and Ministry dashboards instantly, keeping correction windows open.
40%
Rework cost reduction — same-day AI corrective action
4×
Operational transparency vs traditional monitoring
100%
Geo-tagged evidence on every compaction pass
95/100
Quality rating — Package 6152 final assessment
Phase 03
Post-Construction Assessment & Condition Rating
The road is built.
The intelligence stays active.
Handover is just the beginning of the maintenance story. Without continuous monitoring, you only find out a road failed after it happens.
Our post-construction layer shifts from QC to asset health. The same cameras now scan for cracks, potholes, and rutting—classifying severity and feeding a prioritized maintenance queue, giving PMGSY a true maintenance baseline.
Defect classification — cracks, potholes, rutting, edge ravelling by severity
Edge line continuity analysis — 9.23 km of Package 6152 at 98.4% coverage
Carriageway width verification — final vs design specification
Maintenance prioritisation — Cortex queue driven by condition severity
Package 6152 — Post-Construction Assessment Results
5.54m
Average carriageway width — within PMGSY standards (4.80–6.27m range)
98.4%
Edge line continuity — 18.18 km of marking verified across 9.23 km route
95/100
Overall quality rating — major and moderate defects: none detected
9.23 km
BC + CC road fully documented — post-construction baseline established
Defects · Classification
AI Defect Detection & Severity Rating
Automated severity classification (major, moderate, minor) of cracks, potholes, and edge failures. Defect data feeds the Cortex maintenance queue before repair costs skyrocket.
Width · Marking
Width Verification & Edge Line Analysis
Final carriageway widths are compared to specs with exact chainage mapping. Edge line continuity is fully analyzed, flagging missing sections before final handover.
Condition · Maintenance
Road Condition Index & Maintenance Priority
Chainage condition scores aggregate into a live Road Condition Index. Program managers instantly see which segments need urgent intervention, optimizing maintenance budgets.
In the field. On the record.
Deployed on Indian highways.
Deployed on Indian highways.
Evidence that scales.
4×
Transparency
40%
Rework reduction
95/100
Quality score
"Cognecto has set a benchmark for evidence-based quality monitoring in road construction. The adoption of Cognecto's Vision AI Technology marks a significant step forward for UPRRDA in building world-class rural infrastructure. Evidence-based monitoring has not only improved quality assurance but also demonstrated how technology can redefine public infrastructure governance."
4×
Operational transparency
100%
Geo-tagged evidence
60%
Inspection time saved
UPRRDA · NH Corridor · Package 6152 · Uttar Pradesh
NRIDA · PMGSY Programme · Ministry of Rural Development · India
Why CognectoFour reasons highway programmes
Four reasons highway programmes
choose Cognecto over the rest.
Not generic construction software. Not a dashboarding tool. Intelligence built specifically on how Indian and international highway programmes are planned, built, and maintained.
01 / End-to-End Coverage
The only platform covering all three phases.
Pre-construction baseline survey, construction monitoring with real-time BOQ linkage, and post-construction defect assessment — in one platform, one data model, one audit trail. Most tools do one of these. Cognecto does all three, and the data from each phase feeds the next.
02 / PMGSY & NRIDA Native
Built for Indian road programmes, not adapted for them.
OMMAS-compatible KML outputs, PMGSY construction method templates (GSB, WBM, BC, CC), NRIDA audit format reports — these are not integrations built after the fact. They are native to the platform because Cognecto was built on India's largest rural road programme from the start.
03 / Physics AI + Vision AI
IoT and Vision working from the same data model.
Boson's GPS and sensor data verifies compaction passes and equipment compliance. Photon's vision intelligence confirms layer quality, spread uniformity, and progress. Both feed the same BOQ line item, the same knowledge graph, the same audit trail. No data silos. One verified record.
04 / Court-Admissible Evidence
Not reports. Proof.
"Cognecto has set a benchmark for evidence-based quality monitoring in road construction." — Shri Akhand Pratap Singh, IAS, CEO UPRRDA. Every observation geo-tagged, timestamped, and cryptographically signed. The complete chain of evidence from field measurement to BOQ clearance — retrievable for any audit, arbitration, or Ministry review.
Common questions
Everything you need to
Everything you need to
evaluate for your programme.
Questions specific to your programme type — PMGSY, state highway, or NHAI? Our team responds within 2 hours.
Request a demoDoes Cognecto integrate with OMMAS and NRIDA reporting systems?
Yes. All outputs — width profiles, KML maps, chainage reports, defect summaries, and BOQ verification records — are formatted for OMMAS upload and NRIDA Ministry of Rural Development reporting standards. The platform is Make in India certified and fully compliant with government data security protocols. Field data flows from engineer to Ministry without manual compilation or reformatting.
How does compaction pass verification work across multiple lanes?
Boson GPS devices on the roller track position and movement in real time. The physics AI layer counts each pass per chainage segment, per lane — left, centre, and right carriageway — and validates the sequence and count against the compaction schedule in the BOQ. Under-rolling and over-rolling are flagged immediately. The output is a geo-tagged pass map that replaces manual tally sheets and is stored as an immutable audit record.
Can the platform handle multiple packages across different states simultaneously?
Yes. Cognecto is built for multi-site, multi-state deployment. Each package is configured as a separate workgroup within the platform — its own BOQ, milestone schedule, device assignments, and access permissions. Programme directors see the full portfolio. PIU supervisors see their packages. SRRDA officials see their state. All from one Cortex instance, with no data mixing across workgroups.
What cameras and GPS devices does Cognecto work with?
Boson connects to 20+ OEM telematics manufacturers — TATA Advance, 808GPS, Mahindra, Fleetedge, and custom TCP/MQTT devices — without hardware replacement. Photon integrates with existing IP cameras via RTSP, RTMP, and ONVIF protocols (Hikvision, Dahua, Axis, and generic IP cameras). If equipment is already on site, Cognecto connects to it. Typical activation: 7 days from agreement to live monitoring.
How is post-construction defect data used in maintenance planning?
Every defect detected post-construction — crack, pothole, rutting, or edge ravelling — is classified by severity, geo-tagged to chainage, and stored in the Cortex knowledge graph as a structured maintenance record. The co-pilot aggregates these into a Road Condition Index by segment and surfaces a prioritised maintenance queue. Programme managers see which chainage segments require urgent intervention and which are within acceptable parameters — before a reactive repair becomes an emergency one.
Active in 7 days. No hardware purchase.
Your next road package
Your next road package
should come with proof.
Connect existing GPS trackers and cameras. Configure the BOQ and package scope. Go live across the full monitoring stack — pre-construction baseline to post-construction defect scan — within a week. No custom development. No IT overhead. Evidence from day one.
✓ OMMAS & NRIDA compatible outputs
✓ Make in India certified
✓ Pre-construction to post-construction — one platform
✓ Active on PMGSY Package 6152 — 95/100 quality score
Frequently Asked Questions
Find answers to common questions about our platform and deployments.
Cognecto provides an end-to-end AI platform for highway and road construction, covering pre-construction baseline surveys, real-time construction monitoring with IoT sensors, and post-construction condition assessment. It is actively used across PMGSY, NHAI, and state highway programmes in India.
Cognecto's Boson Listener IoT sensors are installed on compaction rollers to capture vibration, GPS coordinates, and pass counts in real time. The data is streamed to the Cortex dashboard where AI algorithms automatically verify compaction quality against MORTH specifications.
PMGSY (Pradhan Mantri Gram Sadak Yojana) is India's rural road construction programme. Cognecto provides OMMAS-integrated monitoring with camera telemetry, automated BOQ verification, and milestone tracking to ensure quality and transparency across thousands of rural road projects.
Cognecto uses computer vision and sensor data to automatically compare actual material usage, layer thickness, and compaction quality against the contracted BOQ specifications. Discrepancies are flagged in real-time on the Cortex dashboard with photographic evidence.
Cognecto is used by NRIDA (National Rural Infrastructure Development Agency), UPRRDA (Uttar Pradesh Rural Road Development Agency), BRO (Border Roads Organisation), and multiple state PWDs for road construction quality monitoring and project management.