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Sitelink

AR-powered 3D collaboration platform for construction teams

Mobile-first BIM viewer with Augmented Reality that enables field teams to visualize building models at 1:1 scale on-site, capture reality data, mark up issues, and collaborate with office teams in real-time using 3D visual context.

Not publicly specified raised 🚀 Early Stage
Founded 2020 Early adopters including major contractors (DPR Construction, Webcor Builders, Haskell, Suffolk Construction, Eutaw Construction)

Why This Tool Exists

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The Problem

Construction teams waste time on RFI resolution and quality control because field and office teams can't quickly communicate issues in spatial context. Traditional 2D drawings and photos lack the clarity needed to identify constructability conflicts, leading to costly rework and delays. Site documentation relies on manual annotations that don't relate back to the digital BIM.

The Solution

Mobile AR app that displays BIM models at 1:1 scale on jobsites with automatic indoor positioning and AR overlays. Field teams mark issues directly in 3D space with photos and LiDAR scans. Integrates with Autodesk Construction Cloud and Procore to sync issues back to office teams, enabling faster RFI resolution (claims 60% improvement) and proactive quality control.

How You Use It

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Delivery Method

Mobile App SaaS
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Integrations

Autodesk Construction Cloud Autodesk BIM360 Procore Revizto
Disciplines
Architecture, Construction, MEP Engineering
Project Phases
Construction Administration
Project Types
Commercial, Healthcare, Mixed-Use, Industrial

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: BIM model (IFC, Revit, or via ACC/BIM360)
Optional: Project schedule, Quality checklists, Site photos/LiDAR for reality capture
Formats: IFC, RVT (Revit), Synced from Autodesk Construction Cloud, Image and video from iOS devices
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Output

What you get

Format: Interactive 3D AR viewer with marked issues and reality data linked to BIM
Fields: AR-positioned 3D BIM model, Marked issues with photos and annotations, LiDAR point clouds, Issue assignments and status tracking, Measurement tools and dimensions, RFI submissions with spatial context
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Algorithm

How it works

Model: Proprietary visual SLAM (Simultaneous Localization and Mapping) with computer vision
Accuracy: Positions users within 1:1 scale model with centimeter-level accuracy (specific metrics not publicly disclosed)
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Privacy

How your data is protected

Retention: Project-based data retention; specific deletion timelines not publicly specified
Training: Not publicly specified
Compliance: Privacy policy available at https://www.sitelink.ai/privacy-policy, Complies with Australian Privacy Act 1988 for Australian users, SOC 2 certification status not publicly confirmed
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • Real-time RFI resolution with spatial context between field and office teams
  • Daily constructability reviews and conflict detection
  • Proactive quality control on complex projects (medical facilities, data centers)
  • Indoor navigation and wayfinding for field teams on unfamiliar sites
  • Field issue documentation with photo, video, and LiDAR context
  • Reality capture for as-built documentation and verification
  • Coordination meetings with 3D overlays of existing vs. planned conditions

Pricing

Free
No free tier; demo available on request
Pro
Contact vendor for pricing
Enterprise
Custom pricing for multi-project portfolios
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
Verified Data (16)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, input-formats, output-structure, algorithm-approach, control-features, useCases, privacy-location
Not Found (9)
fundingTotal, api-documentation, soc2-compliance, pricing-details, data-retention-timeline, rate-limits, training-data-policy, detailed-accuracy-metrics, employee-count
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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