4M Analytics Accelerates Utility Mapping with Spatial AI

4M Analytics, the AI-powered utility mapping company helping infrastructure teams build with confidence, has tapped Bee Maps’ road-level imagery to strengthen its subsurface models for U.S. projects.

This is another example of the speed of spatial AI adoption in the utility mapping space. In addition to road and curb features, granular imagery of the world is being used to streamline asset verification workflows, cutting field survey times.

Together, Bee Maps and 4M Analytics are exploring how a richer understanding of surface features can reduce the unknowns that can slow down permitting and construction.

Anyone involved in utility infrastructure knows the problem: missed utility markers risk project delays and costly strikes. The problem is compounded because historical records are often fragmented, aerial imagery and data lack street-level detail, and existing street imagery can be years old or obfuscated where they need clarity.

Bee Maps offers a new approach. Our spatial AI provides continuously collected imagery that gives multiple passes of the same road segment, seeing around obstacles and capturing the most current view. Our vision AI pipelines detect, validate, and geolocate road-adjacent assets. 

For a company like 4M Analytics, this provides a powerful new data source to:

Ultimately, these surface signals provide greater subsurface certainty. A clear view of the hydrants, poles, and valves on a street can help 4M Analytics correlate, validate, or challenge what’s believed to be underground. The result is faster project readiness, reduced risk, and better deployment of utility locating crews.

Bee Maps is building the surface intelligence layer to support safer, faster infrastructure build-outs. We’re excited to work with 4M Analytics on a scalable model that can extend from pilot study areas to statewide programs.

Interested in evaluating coverage for your next capital project? Let’s talk.