Visnet AI Technology Private Limited
ViSNET AI is an infrastructure intelligence platform with three apps—Infrastructure Intelligence, MRLAYOUT, and EHS & Workforce Intelligence—on a shared visual and spatial AI stack. It converts imagery from CCTV, drones, mobile devices and 3D capture into defect records, digital twins, workforce analytics and reports.
Visnet AI Technology Private Limited Overview
ViSNET AI is an infrastructure intelligence platform built by Visnet AI Technology Private Limited (India) for teams that own or inspect critical assets, sites and buildings. One capture layer feeds three applications: Infrastructure Intelligence classifies and quantifies structural defects from drone and field imagery; MRLAYOUT builds measurable 3D digital twins for spatial review, measurement and CAD/BIM export; and EHS & Workforce Intelligence turns existing CCTV into safety observations, digital attendance and project forecasts—without new biometric hardware.
The shared intelligence layer uses computer vision and spatial reconstruction so findings live in one data model: a defect pinned to a twin, workforce activity in the same space, and condition history across inspection cycles. Capture sources include existing CCTV, drones, mobile photography, sensors and VR/MR spatial capture.
Typical buyers include drone inspection companies, structural and inspection consultancies, specialty contractors, surveying and digital-twin teams, and facilities or operations groups. Founded 2022. Contact for pricing; pilots are available.
ViSNET AI is an infrastructure intelligence platform built by Visnet AI Technology Private Limited (India) for teams that own or inspect critical assets, sites and buildings. One capture layer feeds three applications: Infrastructure Intelligence classifies and quantifies structural defects from drone and field imagery; MRLAYOUT builds measurable 3D digital twins for spatial review, measurement and CAD/BIM export; and EHS & Workforce Intelligence turns existing CCTV into safety observations, digital attendance and project forecasts—without new biometric hardware.
The shared intelligence layer uses computer vision and spatial reconstruction so findings live in one data model: a defect pinned to a twin, workforce activity in the same space, and condition history across inspection cycles. Capture sources include existing CCTV, drones, mobile photography, sensors and VR/MR spatial capture.
Typical buyers include drone inspection companies, structural and inspection consultancies, specialty contractors, surveying and digital-twin teams, and facilities or operations groups. Founded 2022. Contact for pricing; pilots are available.
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