Infrastructure generates critical data at every stage of its lifecycle.
The Cognecto AI Platform collects, processes, and analyzes it to deliver real-time intelligence.
"We finally had evidence that was objective, geo-tagged, and court-admissible. Cognecto redefined highway monitoring."
"We doubled our mining capacity and hit 99.5% fuel accuracy. Guesswork is eliminated."
"We caught a near-miss in week one. Photon doesn't wait for incidents—it prevents them."
"We diagnosed root causes in hours, not weeks, thanks to a continuous digital baseline from day one."
Infrastructure projects fail quietly — one unverified layer, one disputed inspection, one untracked breakdown at a time. Cognecto makes every field event visible, verifiable, and actionable before it becomes a cost.
Pre-trained models for compaction, defect classification, and progress tracking. Drop Boson sensors on the rollers, point cameras at the site — Cognecto does the rest. Any corridor, any country, in under a week.
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From open-cut mines in Australia to highway corridors in India, Cortex gives every stakeholder — operator, site manager, CFO, Ministry — the exact view they need. One integration. No siloed reports. No spreadsheet archaeology.
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Every observation is geo-tagged, timestamped, and structured to NRIDA, OMMAS, and DFI standards. When the audit comes — and it always comes — the evidence is already there. Built-in, not bolted-on.
Learn how →The same physics-based AI that monitors a highway corridor in Uttar Pradesh monitors a mine haul road in Australia and a water pipeline in Odisha. One platform, pre-configured for each industry — no re-training, no rebuilding.
Replace subjective inspections with AI-verified compaction counts, defect classification, and geo-tagged evidence trails — across every kilometre, every layer, every shift.
Real-time visibility from drill face to dispatch — geospatial AI for shift planning, fleet tracking, fuel accountability, and production analytics across open-cut and underground operations.
24/7 vision AI across every camera — detecting PPE violations, no-go zone breaches, and fire events the moment they occur. Not after the incident report is filed.
From pre-construction baseline survey to in-service anomaly detection — continuous AI monitoring that converts reactive maintenance into planned intervention before assets fail.
Boson hears the machinery. Photon sees the site. Cortex turns every signal into a decision. Three purpose-built layers — one unified AI operating system for physical infrastructure.
Boson connects to all types of OEM controllers, heavy equipment CAN-bus networks, and external sensors, with the ability to push real-time telemetry streams using lightweight edge protocols like MQTT.
Photon is all about vision input. It processes live camera feeds and CCTV streams in real time at the edge, utilizing computer vision to detect safety hazards, PPE compliance, and no-go zone intrusions.
Cortex is where the process, telemetry, and asset details get contextualized. It fuses raw signals from Boson and vision inputs from Photon to verify BOQ progress, automate billing, and generate audit-ready trails.
A Ministry Secretary needs court-admissible evidence. A mining CFO needs production certainty. An infrastructure DFI needs ESG ground truth. The audience is different. The intelligence underneath is the same.
For IAS officers, programme directors, and ministry leadership running infrastructure mandates under PMGSY, NHAI, state PWDs, and urban development schemes where accountability is non-negotiable.
For DFIs, sovereign wealth funds, mining operators, EPC contractors, and global infrastructure developers deploying capital in markets where contractor accountability has historically been unverifiable — until now.
SKIP
Because every field event is captured, verified, and timestamped before anyone can dispute it.
Any cloud provider can launch an "infrastructure AI" module. None of them have four years of compaction physics models, 20,000 km of training data, patent-filed IP, and a structured event schema that becomes the audit standard for every project it touches.
Most AI platforms retrain from scratch on every new asset class. Cognecto's models are built on the physics of degradation — compaction mechanics, material fatigue, corrosion chemistry, flow dynamics. When a highway model moves to a mine haul road, it does not start over. It transfers. That is not a feature. It is an architectural decision that took four years and cannot be shortcut.
Over 20,000 km of roads monitored. Millions of compaction-pass events. Defect libraries built from real failures in India, Australia, and East Africa. Every new deployment sharpens every existing model. No academic dataset, no cloud provider's synthetic training set, and no new entrant with six months of data can close this gap.
Compaction-pass counting via GPS-IoT fusion. AI defect classification from field video. Multi-sensor infrastructure health scoring. All patent-filed. A cloud provider cannot add these as marketplace modules — they required years of domain-specific R&D at the intersection of civil engineering, physics, and machine learning.
Every Cognecto-monitored project produces a structured, queryable event history — chainage-referenced, timestamped, role-segmented. Governments use it for audits. Operators use it for billing. DFIs use it for ESG reporting. When the data becomes the official record of what happened on a project, the platform does not need to lock anyone in. No one walks away from their own audit trail.
Join leading operators and government agencies using Cognecto's automated intelligence platform to de-risk delivery, automate contract compliance, and track assets in real time.