The Network is Buzzing
The Code Moat is Gone. Unique Data Is Hard.
Everyone can build apps now. Build with Claude, Codex, Cursor, or any of the other major coding agents.
The code moat is gone. Good riddance.
What's left? The data.
We've spent years building a network of street level cameras mapping roads across the planet. 37% of global road coverage. Fresh imagery — days and weeks old, not the months-to-years staleness you get from traditional providers.
That data was always valuable, and it just got way more valuable. But it was locked behind clunky interfaces and manual workflows.
Not anymore.
Rebuilt Bee Maps API for AI Era
We rebuilt our APIs from the ground up to be AI-native. Every endpoint is designed for programmatic access — by humans and agents alike.
Four core APIs:
- Street-Level Imagery— geolocated frames with timestamps, GPS accuracy, IMU data
- Map Features— detected objects (speed limits, stop signs, turn restrictions, fire hydrants, lane lines) with confidence scores and precise positioning
- AI Event Videos— clips of harsh braking, speeding, swerving, high g-force maneuvers for training driving models and world models
- Burst Locations— on-demand incentivized mapping. You draw a polygon, drivers get notified, you get fresh data
Plus an MCP server so Claude can query road intelligence data with natural language.
What You Can Build
Here's what people are actually building:
AI Event Videos for World Model Training
Companies training autonomous driving systems need labeled video data of edge cases — the moments where something interesting happens. A car swerves. Someone brakes hard. A pedestrian steps into the road unexpectedly.
We have millions of these clips, sourced from our global fleet across every road condition, weather pattern, and geography. Each video comes with event metadata — labeled "here's what happened" data for supervised learning.
Street-Level Image Query
Query any location on earth and get the most recent imagery we have. Check what a storefront looks like. Verify a delivery address. See if that construction project is done.
One customer built a POI validation service that checks if businesses are still open. They query our imagery, run it through their classifier, and flag listings that show "For Lease" signs or boarded-up windows.
Another built a real estate due diligence tool. Before making an offer, their agents pull up every angle of the property and surrounding streets. What does the neighborhood actually look like at 3pm on a Tuesday?
Places Churn Detection
Retail analytics companies track which businesses are opening and closing. The old way: send humans to drive around. The new way: query our API, compare imagery over time, detect changes automatically.
We have first_seen and last_seen timestamps on every detected feature. You can build change detection without any ML — just diff the timestamps.
Robotaxi Dropoff Validation
Before an autonomous vehicle drops someone off, it needs to verify the location is legal and safe. Fire hydrant nearby? No stopping zone. Parking restriction sign? Check the hours. Bus stop? Find somewhere else.
Our Map Features API returns all of this with precise positioning. One query, instant answer.
Fleet Route Validation
Logistics companies verify road conditions before dispatching. Speed limit changes? Turn restrictions? Fresh construction visible in imagery?
Query a LineString geometry (your route) and get back everything we know about those roads.
Government Asset Inventory
Cities need to know where their fire hydrants are. Their traffic signals. Their signs. The old way: send trucks out once every few years. The new way: query our API, get every detected asset with coordinates and confidence scores.
Software is a commodity now. Anyone can ship an app over a weekend.
You can't vibe-code a fleet that's mapped 37% of the planet. You can't ask Claude to generate fresh imagery of a street corner in São Paulo.
Data is the moat. We have it. Now it's easy to use.
Learn about the APIs: docs.beemaps.com
Get your API Key: beemaps.com/developers
