Spotr
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About
Spotr is an AI-powered platform designed to digitally inspect and analyze millions of buildings rapidly. It leverages advanced computer vision and large language models (LLMs) to detect building condition, elements, typology, materialization, and to derive precise measurements from various image sources, including satellite, aerial, streetview, and user-generated images. This enables remote assessment of properties at scale, helping insurers protect against underinsurance, housing associations optimize operational expenses, and banks locate changes in energy labels. The platform generates compliance-ready reports like Rebuild Valuations and Condition scans, and creates "digital twins" of properties for continuous monitoring. Users only need to provide a list of addresses to get started, and Spotr cleans the data, inspects images, applies use-case-specific scoring, and delivers business insights via a visual platform or API.
Platform
Features
• detects over 100+ building characteristics
• provides a robust api for system integration
• utilizes multi-source imagery (satellite, aerial, streetview, user-generated)
• create digital twins of properties
• generate compliance-ready reports
• derive building measurements
• detect building condition, elements, typology, materialization
• ai-powered remote building inspections
FAQs
How does an AI-powered building inspection work?
Spotr uses advanced computer vision and LLMs to generate property data and compliance-ready reports, detecting and assessing building characteristics from images without physical visits.
Can Spotr create a ‘digital twin’ of my entire property portfolio?
Yes, Spotr creates digital twins by combining visual data with AI-driven annotations, allowing remote monitoring of building features.
Which building characteristics can Spotr detect?
Spotr detects over 100+ characteristics, including facade materials, roof type/material/elements (like solar panels), and geometric features like height, footprint, and floor area.
How accurate are the AI assessments?
Spotr's models are continuously validated for high accuracy, and human validations are included in the workflow to ensure trustworthy output.
What types of imagery does Spotr use?
Spotr combines satellite, aerial, streetview, and user-generated images to provide comprehensive property visibility from multiple angles for detailed analysis.
How frequently are images updated?
Aerial/satellite images are updated at least annually, streetview every 1-2 years, and user-uploaded imagery in real-time. On-demand sourcing is available.
Can I upload my own images?
Yes, Spotr allows users to upload their own images, including interior photos, drone captures, and 3D models for analysis.
What is needed to start—do I really just need an address?
Yes, a list of addresses or building IDs is all that's needed. Spotr cleans and reviews ambiguous addresses to ensure correct building identification.
Is there an API or data export option to integrate Spotr with my own system?
Absolutely, Spotr provides a robust API for seamless integration with existing tools and workflows. Full API documentation is available.
How long does onboarding and implementation take?
Getting results for one address takes minutes. Processing a full portfolio can take a couple of days, depending on size and complexity.
Can Spotr inspect both exteriors and interiors remotely?
Yes. Exterior inspections use public imagery; interior inspections are offered when users supply interior photos.
How does Spotr ensure data privacy and comply with GDPR?
Spotr is GDPR-compliant with access controls, encryption, and data minimization. Images are processed via proprietary pipeline, anonymized, and contain no personal info.
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