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Akular

Augmented Reality for construction site verification and collaboration

AR/VR platform that overlays 3D BIM models onto construction sites at full scale and GPS-geolocated positions. Enables teams to verify design intent, detect clashes, and collaborate with live data overlays from sensors, facilities systems, and IoT devices.

$1.17M raisedGrowth Stage
Founded 2017 · 7,000+ BIM models hosted across 4,000+ accounts; known customers include Flad Architects (hospital expansion project); serves construction firms, engineering consultants, and asset managers globally
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Why This Tool Exists

The Problem

Construction teams spend hours manually comparing 3D BIM models against actual site conditions across multiple disciplines. Design intent is difficult to verify on-site, clashes between MEP and structural elements are often discovered after installation (causing costly rework), and stakeholder collaboration requires transporting large printed plans and blueprints.

The Solution

Akular overlays 3D BIM models onto construction sites using AR/VR, creating full-scale, GPS-geolocated digital twins viewable on mobile devices or immersive headsets. Teams verify design intent in real-time, spot clashes before construction, and collaborate with live sensor data and facility system information visualized directly in the 3D context.

How You Use It

Delivery Method
Mobile App (iOS)Mobile App (Android)VR Headsets (Meta Quest, Apple Vision Pro)Web-basedOn-Premise (Air-Gapped)
Integrations
Autodesk RevitNavisworksIFCProcoreBIM 360IoT SensorsBMS/HVAC SystemsSecurity PlatformsREST API
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Infrastructure, Residential, Mixed-Use, Healthcare, Defense/Government

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:3D BIM models, AR/VR capable mobile device or headset
Optional:Site GPS coordinates, Sensor/IoT data streams, Facility management system data, Project schedules, Issue tracking data
Formats:Revit, Navisworks, IFC, DWG, RVT, NWD, IFCX
Output
What you get
Format:Real-time AR/VR visualizations with integrated digital twin data
Fields:3D model overlays anchored to physical site locations, Model alignment accuracy indicators, Design vs. actual condition comparisons, Clash detection highlights and annotations, Real-time sensor data heatmaps (temperature, humidity, occupancy), Issue tracking with geolocated annotations, Progress documentation with temporal comparisons
Algorithm
How it works
Model:Proprietary computer vision engine (model details not publicly disclosed)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Not publicly specified (project-based retention implied)
Training:Not publicly specified
Compliance:Cookie policy exists (portal.akular.com/cookie-policy), App store privacy note: no user data collection from mobile app, SOC 2 compliance not publicly confirmed
API
Integration
Endpoint:REST API available (contact vendor for endpoint details and documentation)
Method:REST API (specific methods not publicly documented)

Use Cases

  • ·Full-scale on-site design intent verification against actual construction
  • ·Real-time detection of MEP-structural clashes before installation
  • ·Multi-discipline coordination meetings using shared AR/VR models
  • ·Construction progress documentation with temporal model comparisons
  • ·Sensor data visualization (temperature, humidity, occupancy) within 3D context
  • ·Stakeholder site walkthroughs with immersive model overlays
  • ·Quality assurance inspections comparing completed work to design specifications
  • ·Training and safety briefings using digital twin models

Pricing

Free
Not publicly specified
Pro
Not publicly specified; flat license fee per project model mentioned but amounts not disclosed
Enterprise
Contact for custom pricing with dedicated support, on-premise deployment options, and security compliance features
Sources & Research NotesResearch date: 2026-04-03
Fields Checked (15)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, input-required, input-formats, output-fields, useCases, privacy-location
Not Found (9)
detailed-pricing, specific-api-documentation, customer-case-studies-public, soc2-certification, iso27001, data-training-practices, algorithm-accuracy, rate-limits, privacy-retention-days
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.