4M Analytics
4M Analytics is a Utility AI mapping platform that pulls together public utility records, AI-assisted detections, and human review into one map-first workspace for subsurface utility research and early project planning.
Built for infrastructure and AEC teams that need utility intelligence before boots hit the ground, 4M Analytics focuses on the slow work of finding, cleaning, and spatially organizing utility information. Users draw a project area and work from a consolidated view of lines, owners, and supporting context instead of chasing PDFs across agencies.
In published customer stories, Woolpert reported up to a 50% reduction in field investigation time for Level B subsurface utility engineering on many projects, and about a 60% reduction in CAD digitization time per mile when starting from 4M???s validated data (4M Analytics Woolpert customer story, 2025). Caltrans has also been cited for a large reduction in records research time in separate DOT-focused materials on the vendor site (4M Analytics customer stories index, 2025).
The product is positioned as a planning and scoping layer: teams import and export data with GIS and CAD workflows, run risk-oriented views, and align internal and external stakeholders around the same map. Marketing copy on the homepage cites about 90% faster utility record research and 93% customer satisfaction scores for the vendor???s data, which you should treat as directional until confirmed in your own evaluation (4M Analytics homepage, 2025).
Typical buyers include transportation agencies, civil and multidiscipline engineering firms, contractors, and utility coordination groups that need faster proposals, tighter QA/QC on utility layers, and fewer surprises once field investigation starts.
Specifications
Pricing
Platforms
Used for
Used by
Tasks
Pros and cons
Pros
- Strong emphasis on speed versus manual utility record research in vendor-reported metrics and customer stories.
- Case studies name large DOT and ENR-scale engineering users with quantified time savings in several write-ups.
- Web-first workflow that fits remote planning and estimator teams that live in maps and GIS stacks.
- Clear positioning next to field SUE: plan smarter before spending days in the ROW.
Cons
- Public list pricing is not published; most teams book a demo and negotiate enterprise terms.
- Deep BIM-native authoring inside Revit or similar is not the main story; think GIS, CAD, and coordination workflows first.
- Coverage and data freshness vary by jurisdiction; validate against local one-call and owner records on real projects.
- Heavy reliance on AI and compiled records still requires professional judgment and field verification for regulated SUE deliverables.
Key features
Project-area maps: Draw a site boundary and work from utility lines and ownership details aggregated for the AOI instead of manual record chasing alone.
Above-ground cues: AI-driven computer vision and imagery help surface poles, manholes, valves, and road markings where the product markets that capability.
Site context layers: Property boundaries, terrain, floodplains, and right-of-way style context appear alongside utilities on the vendor???s marketing pages.
Risk-oriented views: Built-in assessments and conflict-style insights are aimed at catching issues during planning rather than after mobilization.
Interoperability: Simple import and export paths to GIS and CAD are advertised to avoid disrupting downstream deliverables.
Team-ready UI: Positioned as quick to learn, with no long implementation project before first projects.
Pricing
Enterprise (demo and quote)
Free
No public list price on the vendor site as of 2026-04-03; book a demo and confirm licensing.
Frequently asked questions
How much does 4M Analytics cost per year?
- The vendor does not publish standard annual prices on the public site. Teams typically request a demo through 4M Analytics and receive a quote based on seats, regions, and program size. Treat any third-party price lists as unreliable unless confirmed by 4M.
Does 4M Analytics replace subsurface utility engineering field work?
- No. In Woolpert???s published story, a Woolpert leader states 4M does not replace field verification but helps teams plan and prioritize so SUE effort goes where it matters. You should still execute appropriate quality levels and local verification for regulated work.
What formats does 4M Analytics export to for CAD and GIS?
- Marketing pages emphasize simple import and export with GIS and CAD without naming every file extension in the hero copy. Ask the vendor for your exact stack, for example Esri formats, DWG, or specific geospatial services mentioned in release notes, during a technical review.
What geography does 4M Analytics cover?
- The homepage describes nationwide utility coverage in the United States for compiled public and private records. Always confirm whether your state and utility owners are included for the workflows you care about, especially for pursuit-heavy portfolios.
How does 4M Analytics gather underground utility information?
- The product is described as compiling scattered public records and adding AI-assisted detection plus expert review. It is not a substitute for one-call tickets or owner as-builts when those are the legal source of truth for your contract.
Is 4M Analytics only for DOTs?
- No. Customer stories include large civil firms, contractors, and airports-style pursuits such as Kimley-Horn???s Aspen Airport write-up. DOT programs appear prominently, but the use case is broader early-phase infrastructure and utility coordination.