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Zeitview (formerly DroneBase)

AI-powered drone inspection platform for asset management and construction monitoring

On-demand drone service with AI-powered analysis platform that captures aerial imagery, thermal inspections, and damage assessments for construction sites, renewable energy assets, and facility management. Delivers inspection reports with AI-identified issues within hours.

$174M raisedEstablished
Founded 2014 · Active in 70+ countries; serves major enterprises in solar, wind, insurance, construction, roofing, real estate, and critical infrastructure; trusted by largest enterprises globally
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction teams and facility managers manually review 50+ daily progress photos and conduct time-consuming site inspections, delaying decision-making by days or weeks. Manual inspection processes are expensive, inconsistent, and prone to missing structural issues or safety violations.

The Solution

On-demand drone service captures high-resolution aerial imagery, thermal scans, and damage assessments with AI analysis. Delivers comprehensive inspection reports with machine learning-identified issues (roofing damage, structural defects, safety hazards) within hours, enabling rapid response and decision-making.

USAGE

How You Use It

Delivery Method
SaaSOn-Demand Service
Integrations
ProcoreEsri ArcGIS
Disciplines
Construction, Facility Management
Workflows
Planning & Feasibility, Operations & Facility Management
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Industrial, Infrastructure, Renewable Energy
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Jobsite location/coordinates, Photography objectives or inspection type
Optional:BIM model, Project schedule, Previous inspection photos, Specific areas of interest
Formats:GPS coordinates, Address/location data, Optional BIM (IFC), Optional project files
Output
What you get
Format:Comprehensive inspection reports with imagery and AI analysis
Fields:High-resolution aerial photos (15-20+ images), Edited video compilation, AI-identified damage assessment, Thermal inspection data (if requested), Georeferenced orthomosaic maps (surveying option), Digital surface models and topographic data, Area and volumetric calculations, Safety violation detection, Issue severity classifications, Recommended remediation actions
Algorithm
How it works
Model:Proprietary computer vision and machine learning for damage assessment and safety detection
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Project-based retention with granular data retention periods: browsing/security logs (12 months), order management (10 years), customer service identification (24 months), marketing/profiling (24 months max), tax/billing (10 years)
Training:Not publicly specified whether production data used for AI model training
Compliance:GDPR compliant (data controller in Santa Monica, CA), GDPR data subject rights supported (access, rectification, deletion, portability), Does not knowingly collect from children under 16
API
Integration
Endpoint:https://dronebaseapi.docs.apiary.io/
Method:REST API
USE CASES

Use Cases

  • ·Daily construction progress monitoring with aerial photos and AI-identified delays or quality issues
  • ·Roofing and thermal damage assessment for insurance claims and facility management
  • ·Solar panel inspection and performance monitoring across utility-scale installations
  • ·Wind turbine and renewable energy asset inspections
  • ·Commercial property condition assessments and maintenance planning
  • ·Geospatial analysis and mapping for land development and site planning (via ArcGIS integration)
PRICING

Pricing

Free
No free tier
Pro
Project-based pricing: $399 (15-20 photos + 3-4 videos), $499 (orthomosaic mapping and surveying)
Enterprise
Custom pricing for enterprise contracts with volume discounts and dedicated support
Sources & Research NotesResearch date: 2026-04-04
Data Sources (9)
Fields Checked (17)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-formats, output-structure, api-documentation, privacy-policy, pricing-structure, useCases
Not Found (7)
algorithm-accuracy-metrics, soc2-certification, api-rate-limits, exact-data-retention-days, specific-employee-count, detailed-competitor-comparison, model-training-practices
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.
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