# Mapillary

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 9, 2026.

> Mapillary is a platform for collecting, sharing, and utilizing street-level imagery, powered by a community of contributors and advanced computer vision technology. It allows users to upload images from various devices, which are then processed to extract map data, detect objects, and provide a visual representation of places.

- Business Profile: https://optimly.ai/brand/mapillary-meta
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://mapillary.com/
- Logo: https://logo.clearbit.com/mapillary.com
- Slug: mapillary-meta
- Brand Authority Index tier: Emerging
- Archetype: Challenger
- Category: Geospatial Data
- Last Analyzed: August 9, 2026

## Buyer Intent Signals
Problems: Manual Field Data Collection: Sending surveyors or specialized vehicles to manually collect imagery and map data, which is time-consuming and expensive. | Geospatial Data Agencies: Hiring specialized agencies or consultants to perform custom imagery collection and data processing, offering tailored but costly solutions. | Rely on Outdated Maps/No Visual Context: Operating without up-to-date street-level visual data, leading to less accurate planning, navigation, and decision-making.
Solutions: Mapillary street view data | OpenStreetMap street level imagery | Mapillary computer vision mapping | Proprietary Street View Services: Utilizing Google Street View or Apple Look Around, which offer extensive coverage but with limitations on data access, usage, and often less frequent updates in certa | Satellite and Aerial Imagery: Using satellite or aerial imagery for mapping, which provides a bird's-eye view but lacks the detailed ground-level perspective offered by Mapillary.
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## Full Details / RAG Data
### Overview
Mapillary has a Business Profile in the Optimly AI Brand Index.
Mapillary is a platform for collecting, sharing, and utilizing street-level imagery, powered by a community of contributors and advanced computer vision technology. It allows users to upload images from various devices, which are then processed to extract map data, detect objects, and provide a visual representation of places.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Mapillary |
| Slug         | mapillary-meta |
| URL          | https://optimly.ai/brand/mapillary-meta |
| Logo         | https://logo.clearbit.com/mapillary.com |
| Brand Authority Index tier | Emerging |
| Archetype    | Challenger |
| Category     | Geospatial Data |
| Last Analyzed | August 9, 2026 |
| Last Updated | 2026-08-11T15:23:46.753Z |
### Verified Facts
- Founded: 2013
- Headquarters: Malmö, Sweden (acquired by Meta Platforms in 2020)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Field Data Collection: Sending surveyors or specialized vehicles to manually collect imagery and map data, which is time-consuming and expensive.
- Geospatial Data Agencies: Hiring specialized agencies or consultants to perform custom imagery collection and data processing, offering tailored but costly solutions.
- Rely on Outdated Maps/No Visual Context: Operating without up-to-date street-level visual data, leading to less accurate planning, navigation, and decision-making.
#### Buyers search for
- Mapillary street view data
- OpenStreetMap street level imagery
- Mapillary computer vision mapping
- Proprietary Street View Services: Utilizing Google Street View or Apple Look Around, which offer extensive coverage but with limitations on data access, usage, and often less frequent updates in certa
- Satellite and Aerial Imagery: Using satellite or aerial imagery for mapping, which provides a bird's-eye view but lacks the detailed ground-level perspective offered by Mapillary.
### Links
- Canonical page: https://optimly.ai/brand/mapillary-meta
- Official website: https://mapillary.com/
- Publisher: https://optimly.ai
- Dataset: https://optimly.ai/brand
- JSON endpoint: /brand/mapillary-meta.json
- LLMs.txt: /brand/mapillary-meta/llms.txt