HELIX

AI-powered digital twins of buildings from laser scanning and photogrammetry

Platform that creates accurate 3D digital twins of buildings using LiDAR scanning, photogrammetry, computer vision, and AI. Delivers models in Revit, SketchUp, AutoCAD, and 360° photo formats within days instead of weeks, enabling space planning, asset management, and property optimization.

$125M (via Density acquisition) raised Growth Stage

Founded 2019 · Not publicly disclosed (integrated into Density platform); previously used by multiple Fortune 500 real estate portfolio managers

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WHY IT EXISTS

Why This Tool Exists

The Problem

Building teams struggle to create accurate digital documentation of existing facilities. Traditional surveying and CAD modeling take weeks or months, cost $10,000-$50,000 per building, and produce outdated data that doesn't reflect actual building conditions. Real estate managers lack accurate spatial data for lease negotiations, space planning, and facility optimization.

The Solution

Uses aerial drones and ground-based LiDAR scanning combined with photogrammetry and computer vision AI to capture complete building geometry and 360° documentation. Delivers accurate 3D models in industry-standard formats (Revit, SketchUp, AutoCAD) within days for 70-80% cost savings. Integrates with Density's workplace analytics for real-time occupancy and performance data.

USAGE

How You Use It

Delivery Method

SaaSProfessional Services (field scanning)

Integrations

Revit (via Autodesk Design Automation API)SketchUpAutoCADDensity (occupancy analytics)Autodesk Reality Capture (point cloud management)

Disciplines

Architecture, Real Estate, Construction Management, Facility Management

Project Phases

Schematic Design, Design Development, Construction Documentation, Operations/FM

Project Types

Commercial, Residential, Healthcare, Mixed-Use

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required: Building access for scanning, Site survey permission

Optional: Existing CAD models for reference, Historical building documentation

Formats: LAS/LAZ point clouds, JPG/PNG site photos, Drone imagery

Output

What you get

Format: Multi-format digital twin models

Fields: 3D Revit models with spaces and properties, 3D SketchUp models for visualization, 2D AutoCAD floor plans, 360° panoramic photo tours, Point cloud data (LAS/LAZ format), Spatial measurement data, Material and fixture documentation

Algorithm

How it works

Model: Proprietary computer vision and AI engine combining LiDAR point cloud processing and photogrammetry

Accuracy: Claims submeter accuracy for building geometry (methodology not publicly detailed); 360° photo documentation captures existing conditions

Privacy

How your data is protected

Retention: Models retained indefinitely in user account; user control over sharing and deletion

Training: Not publicly specified whether production scan data used for model training

Compliance: Integrated into Density compliance (SOC 2 inferred), Enterprise-grade data security (specific certs not publicly disclosed)

API

Integration

Endpoint: Contact vendor for API access via Density platform

Method: REST API (not publicly documented)

USE CASES

Use Cases

· Rapid creation of accurate existing-building digital twins for renovation projects
· Real estate lease negotiation with verified spatial data
· Facility management and asset tracking across building portfolio
· Space utilization analysis combined with occupancy data (via Density)
· Building retrofit planning with accurate as-built geometry
· Multi-building campus documentation and management

PRICING

Pricing

Free

Not available

Pro

Contact vendor for pricing (project-based; varies by building size and complexity)

Enterprise

Custom pricing for portfolio scanning and integration with Density analytics platform

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Research Sources & Data Quality Last verified: 2026-04-04

Data Sources (8)

Verified Data (14)

problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, fundingTotal, input-formats, output-fields, algorithm-approach, useCases

Not Found (7)

customerBase-specific-names, pricing-exact-rates, api-documentation, privacy-policy-document, algorithm-accuracy-metrics, compliance-certifications, data-retention-duration

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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