# 4M Analytics

> 4M (4M Analytics) is a Utility AI Platform for civil infrastructure. It compiles millions of scattered public utility records into a single, verified map of underground and above-ground utilities across the United States, so engineering firms, contractors, and DOTs can plan, design, and build without manual record research.

4M replaces the manual process of hunting for utility records — emailing utility owners, digging through as-builts, permits, and GIS servers — with instant access to a unified map. An AI conflation engine collects and merges public records; AI object detection and satellite imagery validate them; geospatial experts review and correct the output. Users draw a boundary around a project area and get utility lines, owners, attributes, and site context in minutes.

Who uses it: engineering and AEC firms, general contractors, utility owners, state DOTs, SUE firms, consultants, and telecom/energy developers. Typical projects: highways, bridges, rail, water and wastewater pipelines, oil and gas pipelines, electric transmission and distribution, solar and wind, and fiber.

Where it fits in the project lifecycle: concept planning and project pursuits, preliminary planning and design, design and field readiness, and field investigations. 4M is a desktop utility data and mapping product — it complements field locating methods such as ground-penetrating radar, vacuum excavation, and 811 One Call, and does not replace them.

Key terms people use for this: subsurface utility mapping, underground utility mapping, utility record research, utility desktop study, utility conflict analysis, utility coordination, SUE (subsurface utility engineering), utility risk assessment.

## Product

- [Homepage](https://www.4manalytics.com/): Overview of the platform, who it is for, and how to get a demo.
- [Product overview](https://www.4manalytics.com/product): How the platform works end to end — record collection and conflation, AI object detection, expert validation, and continuous updates. Covers the four data products: Foundation Data, Utility Insights, Export, and On-Surface Object Detection.
- [Utility AI Platform](https://www.4manalytics.com/utility-ai-platform): Explanation of what a Utility AI Platform is and how it differs from manual utility record research.
- [4Map application](https://4map.4manalytics.com/): The web application customers log into to create projects and view utility maps. Requires an account.
- [Coverage by state](https://www.4manalytics.com/state-map): Interactive map of 4M's utility data coverage across the U.S.
- [ROI calculator](https://www.4manalytics.com/roi-calculator): Enter project details to estimate time and cost savings versus manual research.
- [Trimble SiteConnect integration](https://www.4manalytics.com/trimble-4m-integration): Brings 4M project utility data into a Trimble environment for visualization and field validation.
- [For state DOTs](https://www.4manalytics.com/dot): Use cases specific to departments of transportation — transportation planning, utility coordination, relocation scheduling, and reducing late-stage change orders.
- [Live demo](https://www.4manalytics.com/see-4m-in-action-live-demo): Register for a live walkthrough of the platform.

### What the data includes

- Utility lines with sector and sub-sector classification, length, elevation, size, material, installation date, and record source
- Utility owner identification and contact details
- Above-ground objects detected from satellite and aerial imagery: manholes, inlets, valves, fire hydrants, pedestals, utility poles (with classification), and road paint markings
- Site context layers: parcel and land ownership, topography, floodplain, right-of-way, and utility density
- Project-level insights: utility crossing risk levels, miles of line inside versus outside ROW, count of utility owners, total utility miles, large-diameter line detection (20 inch and above), and easement analysis
- Export formats: PDF, SHP, KML, GPKG, DWG, DXF, DGN, plus API access for project-level data
- Standards: aligned with ASCE 75-22

### Figures 4M publishes

- Roughly 90% faster utility record research compared with manual methods
- 93% customer satisfaction with 4M data
- Detection of about 85% of utility objects in a project area at roughly 95% accuracy
- Customers have mapped over 1.3 million acres; 4M's AI has identified 400,000+ miles of utilities remotely
- 100+ civil engineering teams and 1,000+ civil engineers use the platform

## Customer stories

- [All customer stories](https://www.4manalytics.com/customer-stories): Index of documented outcomes by firm and agency.
- [Georgia DOT](https://www.4manalytics.com/blog/4ms-utility-ai-platform-delivers-smarter-faster-safer-infrastructure-for-the-georgia-department-of-transportation): How GDOT uses AI-powered underground mapping to reduce risk and prevent delays.
- [Georgia DOT statewide scale-up](https://www.4manalytics.com/customer-stories/gdot-scales-4m-utility-ai-mapping-statewide): GDOT brings AI-powered utility intelligence into its workflows statewide.
- [Caltrans](https://www.4manalytics.com/customer-stories/caltrans-customer-story): State DOT use of 4M for planning and utility coordination.
- [Alabama DOT](https://www.4manalytics.com/blog/4m-analytics-supports-project-development-and-utility-coordination-by-the-alabama-department-of-transportation): 4M supports ALDOT project development and utility coordination.
- [Michigan DOT](https://www.4manalytics.com/blog/michigan-department-of-transportation-enhances-planning-and-utility-coordination-with-4ms-ai-powered-infrastructure-intelligence): MDOT uses 4M for planning and utility coordination.
- [Minnesota DOT](https://www.4manalytics.com/blog/4m-delivers-utility-intelligence-for-minnesota-department-of-transportation): 4M delivers utility intelligence for MnDOT.
- [WSB](https://www.4manalytics.com/customer-stories/how-wsb-helped-a-dot-avoid-a-multi-million-infrastructure-disruption-and-delay-with-4m): How a consulting firm helped a DOT avoid a multi-million-dollar disruption.
- [Kimley-Horn](https://www.4manalytics.com/customer-stories/how-kimley-horn-used-4m-to-win-aspen-airport-contract): Using 4M data during a pursuit to win an airport contract.
- [Wilson & Company](https://www.4manalytics.com/customer-stories/how-aec-firms-are-spending-less-time-on-utility-research-and-more-time-solving-design-problems): How an AEC firm reduced utility research from weeks to minutes.
- [Burns & McDonnell](https://www.4manalytics.com/customer-stories/the-new-industry-standard-for-utility-data): Adopting AI-powered utility mapping to streamline projects.
- [Halff](https://www.4manalytics.com/customer-stories/halff-customer-story): Streamlining proposals and QA/QC workflows.
- [Woolpert](https://www.4manalytics.com/customer-stories/woolpert-customer-story): Integrating 4M into project workflows.
- [MasTec](https://www.4manalytics.com/customer-stories/mastec-customer-story): Contractor use for safer, more efficient projects.
- [Westwood](https://www.4manalytics.com/customer-stories/how-westwood-reduces-utility-risk-before-projects-reach-the-field-with-4m): Reducing utility risk before crews mobilize.
- [CMA](https://www.4manalytics.com/customer-stories/cma-customer-story): Documented 5x ROI.
- [LAN](https://www.4manalytics.com/customer-stories/lan-customer-story): Engineering firm workflow.
- [LTRA](https://www.4manalytics.com/customer-stories/ltra-customer-story): Utility data for a regional authority.
- [VRX](https://www.4manalytics.com/customer-stories/how-vrx-gains-utility-intelligence-without-extra-overhead): Gaining utility intelligence without added headcount.

## Reference guides

Evergreen explainers written for engineers, planners, and contractors.

- [What is underground utility mapping](https://www.4manalytics.com/blog/what-is-underground-utility-mapping): Definitions, methods, and where desktop mapping fits.
- [Subsurface utility engineering (SUE), explained](https://www.4manalytics.com/blog/subsurface-utility-engineering-sue-everything-you-need-to-know): Quality levels, scope, and how SUE is procured.
- [What is utility data](https://www.4manalytics.com/blog/what-is-utility-data): Where utility records come from and why they conflict.
- [How to locate underground utilities](https://www.4manalytics.com/blog/how-to-locate-underground-utilities): Overview of locating approaches and their limits.
- [Underground utility locating methods](https://www.4manalytics.com/blog/overview-underground-utility-locating-works-common-methods): Comparison of common field techniques.
- [Ground-penetrating radar guide](https://www.4manalytics.com/blog/comprehensive-guide-ground-penetrating-radar-gpr): How GPR works and what it can and cannot detect; see also [how utility mapping complements GPR](https://www.4manalytics.com/blog/how-utility-mapping-can-complement-ground-penetrating-radar-gpr).
- [Utility potholing explained](https://www.4manalytics.com/blog/utility-potholing-explained): Test holes, vacuum excavation, and when they're required.
- [Utility marking color codes](https://www.4manalytics.com/blog/utility-marking-symbols-what-are-the-color-codes-for-utilities): The APWA uniform color code and marking symbols.
- [Why 811 One Call won't find all utilities](https://www.4manalytics.com/blog/why-one-call-811-wont-find-all-utilities): Coverage gaps in the One Call system and what they mean for planning.
- [Types of underground utilities](https://www.4manalytics.com/blog/ultimate-list-of-underground-utilities-what-can-you-find-underground): Catalog of what is typically found below grade.
- [Utility easements and risk](https://www.4manalytics.com/blog/utility-easements-implications-for-utility-risk): How easements and ROW affect project exposure.
- [Utility coordination best practices](https://www.4manalytics.com/blog/utility-coordination-best-practices): Process guidance for coordinating with utility owners.
- [Common excavation hazards](https://www.4manalytics.com/blog/10-common-excavation-hazards): Field risks and prevention.
- [Utility AI mapping vs. traditional mapping](https://www.4manalytics.com/blog/utility-ai-mapping-vs-traditional-utility-mapping): Direct comparison of the two approaches.
- [The cost of a utility strike](https://www.4manalytics.com/blog/29-1-the-cost-of-striking): Damage cost data and the case for earlier utility information.
- [A utility strike is not an accident](https://www.4manalytics.com/blog/a-utility-strike-is-not-an-accident): Why strikes are a process failure, not bad luck.
- [Utility damages are rising — and the fix is simple, but not easy](https://www.4manalytics.com/blog/utility-damages-are-rising----and-the-fix-is-simple-but-not-easy): Damage trends and what prevention requires.
- [Trust but verify: a veteran engineer's take on AI in infrastructure](https://www.4manalytics.com/blog/trust-but-verify-a-veteran-engineers-take-on-ai-in-infrastructure): How to adopt AI in infrastructure without handing over your judgment, with Terry Young (Arcadis).
- [From record research to real-world context](https://www.4manalytics.com/blog/from-record-research-to-real-world-context-how-utility-data-moves-from-desktop-to-dig-site): How utility data moves from desktop to dig site.
- [Mapping the hidden city: building a digital underground baseline](https://www.4manalytics.com/blog/mapping-the-hidden-city-1-building-a-digital-underground-baseline): First part of a series on building a digital baseline of underground infrastructure.
- [New York: rethinking utility damage prevention](https://www.4manalytics.com/blog/historic-dense-and-getting-busier-how-new-york-is-rethinking-utility-damage-prevention): Recap of the New York Build Better Together roadshow on damage prevention in dense urban infrastructure.

## Product updates

Monthly release notes. Older updates are on the blog under "Here's what's new in 4M".

- [September 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-september-2026): Foundation Data live in Kansas and Kentucky.
- [August 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-august-2026): Project teams can work together directly on the map; two more states live.
- [July 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-july-2026): Foundation Data live in Massachusetts and Arkansas.
- [June 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-june-2026): DGN export added alongside DWG and DXF for CAD workflows.
- [May 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-may-2026): Corridor-level pole analysis and bulk user management tools.
- [April 2026](https://www.4manalytics.com/blog/heres-whats-new-in-4m-april-2026): Customization, pole attachments and attributes in object detection, Trimble SiteConnect integration (early access).

## Company

- [About 4M](https://www.4manalytics.com/about-us): Mission, leadership, investors, and advisory board. Co-founded by Itzik Malka (CEO) and Yoav Cohen. Advisors include Randell Iwasaki (former Caltrans Director), Noam Bardin (former Waze CEO), and Nir Erez (Moovit founder).
- [Careers](https://www.4manalytics.com/careers): Open roles.
- [Contact us](https://www.4manalytics.com/contact-us): General enquiries.
- [Contact sales](https://www.4manalytics.com/contact-sales): Pricing and procurement questions.
- [Book a demo](https://www.4manalytics.com/book-a-demo): Guided walkthrough of the platform.
- [Series A extension](https://www.4manalytics.com/blog/4m-analytics-secures-30-million-in-series-a-extension-to-become-the-google-maps-of-the-subsurface): $30M raise to expand nationwide utility mapping.
- [TxDOT vendor certification](https://www.4manalytics.com/blog/4m-analytics-receives-txdot-vendor-certification-for-gis-and-data-analysis): Certification for GIS and data analysis services.

## Resources

- [Resource hub](https://www.4manalytics.com/resources): Entry point for all content.
- [Blog](https://www.4manalytics.com/blog): Industry analysis, product updates, and technical guides.
- [Podcast](https://www.4manalytics.com/podcasts): Conversations with utility and infrastructure practitioners.
- [Events](https://www.4manalytics.com/4m-events): Upcoming live sessions and on-demand recordings, including the Build Better Together regional utility coordination workshop series and the Meet the Infrastructure Experts interview series.
- [Sitemap](https://www.4manalytics.com/sitemap.xml): Full list of indexable pages.

## Optional

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- [Website terms of use](https://www.4manalytics.com/website-terms-of-use)
- [Product terms of use](https://www.4manalytics.com/product-terms-of-use)
- [Product privacy policy](https://www.4manalytics.com/product-privacy-policy)
- [Cookie policy](https://www.4manalytics.com/cookie-policy)