Cognecto Resources White Paper
White Paper · Roads & Highways
18 pp · PDF · December 2025 · Cognecto Team

BOQ verification at scale — a knowledge graph architecture.

How Cortex automates BOQ line-item verification against verified field events. Reference architecture for PMGSY, NHAI, and EPC programmes.

BOQ verification at scale — a knowledge graph architecture.
18 pp
Reference design
PMGSY
NHAI · EPC
Cortex
Knowledge graph
Resource type
White Paper · BOQ architecture reference design
Author
Cognecto Engineering · Cortex team
Audience
PMGSY/NHAI programme directors, EPC operations leads
Cognecto modules
Cortex · Knowledge graph architecture

BOQ verification is manual, slow, and disputed.

Bill of Quantities reconciliation is the single most expensive coordination work in a road construction programme. Every BOQ line item represents a specific quantity of work at a specific specification — and every payment milestone depends on certifying that the line was delivered as described.

The historical process is paper-based: the contractor submits a measurement, the inspector verifies it, a Quantity Surveyor consolidates, the Project Director signs, the bill issues. Each stage is a coordination cost and a potential dispute point. At PMGSY scale — 7L+ km across thousands of packages — the cumulative friction is enormous.

  • Manual measurement and certification per BOQ line — labour-intensive at scale
  • Dispute resolution mechanism slow and evidence-poor
  • No traceable link between verified field event and BOQ clearance
  • Quantity surveyor consolidation a frequent reconciliation bottleneck

BOQ lines as nodes in a structured graph.

Cortex represents every BOQ line item as a structured node — linked to the contract, the package, the chainage range, the asset, the construction method, and the regulatory standard that governs it. The verification criteria for each line are encoded: what events must be confirmed for the line to clear?

When Boson telemetry or Photon vision events match a line's verification criteria, the line moves from pending to verified automatically. When events fail verification, a non-conformance is raised with the supporting evidence attached. The Quantity Surveyor's manual consolidation becomes an exception workflow rather than a default workflow.

A BOQ that clears itself against verified work.

The reference deployment on UPRRDA Package 6152 demonstrated 95/100 quality with automated BOQ-linked progress tracking across the full pre/during/post construction lifecycle. The model is now positioned as a reference architecture for NRIDA, NHAI, and state highway authorities operating at PMGSY scale.

The numbers behind the story.

95/100
Quality rating on reference deployment
Automated
BOQ clearance on verified events
Court-admissible
Evidence chain per line
OMMAS
Compatible outputs
Real-time
Variance flagging
Audit
Every line traceable
"Cognecto has set a benchmark for evidence-based quality monitoring in road construction. Evidence-based monitoring has not only improved quality assurance but also demonstrated how technology can redefine public infrastructure governance."
Shri Akhand Pratap Singh, IAS
CEO, UPRRDA · Uttar Pradesh Rural Road Development Authority