Mapillary is a cloud‑based platform that aggregates street‑level imagery from any camera, processes it with computer‑vision pipelines, and publishes both raw photos and automatically extracted map features. Users can upload images, which are privacy‑blurred and stitched into navigable views, then access the data via open APIs and integrations with GIS tools to keep maps up to date, detect changes, and enrich navigation datasets.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OBIFounders
Product
Problem
Many mapping projects rely on outdated aerial imagery or limited street-level photos, making it difficult to keep maps current, detect changes, and capture details that are not visible from above. Collecting, processing, and sharing high‑quality street‑level data at scale often requires specialized equipment and complex workflows.
Solution
Mapillary provides a cloud‑based platform that aggregates street‑level imagery from any camera, processes it with computer‑vision and machine‑learning pipelines, and publishes both the raw images and automatically extracted map features. Contributors upload photos or video, which are automatically blurred for privacy, stitched into navigable street‑level views, and analyzed to detect objects such as traffic signs, road markings, and infrastructure. The resulting data are made available through an open API, viewer integrations, and direct links to mapping tools like OpenStreetMap, HERE, and ArcGIS, enabling users to update maps, monitor changes, and enrich navigation datasets without manual digitization.
Target Audience
Primary users are mapping organizations, GIS professionals, and autonomous‑driving or navigation companies that need up‑to‑date street‑level data, as well as municipalities and citizen contributors who want to improve local map accuracy.
Features
- Support for any camera type (smartphone, 360°, dash cam, action cam) with dedicated upload tools and GPS metadata handling
- Automatic privacy blurring of faces and license plates using AI algorithms, with optional manual editing
- Machine‑extracted map features covering 40+ object types, including detailed traffic‑sign classification into 1,500+ categories
- Cloud‑hosted imagery viewer that connects images across time and space for smooth navigation and before‑after comparisons
- Open data access via APIs and integrations with OpenStreetMap, HERE Map Creator, and ArcGIS, plus developer SDKs for custom workflows
- Free cloud storage and sharing of uploaded imagery, with tools for bulk imports of existing photo/video collections