4M Analytics

Cover Block

Attribute	Value
Name	4M Analytics
Tagline	AI-powered subsurface utility mapping platform for civil engineering and infrastructure projects.
Headquarters	Tel Aviv, Israel
Founded	2019
Stage	Series A
Business Model	SaaS
Industry	Deeptech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	$50M+
Total Disclosed	~$51.9M

Links

• Website: https://www.4manalytics.com/
• LinkedIn: https://www.linkedin.com/company/4m-analytics

The Short Version

4M Analytics sells a digital map of the underground, applying AI to satellite and aerial imagery to locate subsurface utilities for infrastructure projects, a process that currently relies on manual records and costly, error-prone field surveys [F2 Venture Capital, November 2021][Carahsoft]. Founded in 2019 by Itzik Malka, Yoav Cohen, and Nir Cohen, the company has secured over $50 million in venture capital, including a $30 million Series A led by Insight Partners, to build what its investors call the "Google Maps of the under earth" [The Company Check][4M Analytics]. The platform's wedge is operational efficiency, promising to save thousands of hours in manual data collection for public sector agencies and engineering firms, a claim supported by customer stories from state transportation departments [4M Analytics, 2024]. The founding team's operational roles are clarified, with Yoav Cohen as COO and Nir Cohen as Chief Delivery Officer, suggesting a focus on execution and customer delivery [Startup Nation Finder]. The SaaS business model targets a critical, non-discretionary workflow in civil engineering, with early traction indicated by a growing headcount of 105 and several named Department of Transportation customers [4M Analytics, 2024]. Over the next 12-18 months, the key watch points are the scalability of its sales channel through the Carahsoft partnership and the conversion of pilot projects into larger, enterprise-wide deployments within state agencies.

Data Accuracy: GREEN -- Core company facts confirmed by multiple independent sources including Crunchbase, investor publications, and company announcements.

Taxonomy Snapshot

Axis	Value
Stage	Series A
Business Model	SaaS
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	$50M+ (total disclosed ~$51,900,000)

The Company in Brief

4M Analytics was founded in 2019 in Tel Aviv, Israel, by Itzik Malka, Yoav Cohen, and Nir Cohen [Startup Nation Finder, Retrieved 2026]. The company's origin is rooted in addressing a fundamental, high-cost inefficiency in civil engineering: the lack of a reliable, unified map of underground utilities. As described by an early investor, the vision was to become the "Google Maps of the under earth," aiming to create a single global map of subsurface infrastructure and hazards [F2 Venture Capital, November 2021].

Key operational milestones followed a clear trajectory of capital infusion and team scaling. The company secured an initial accelerator round of $20,000 in April 2020, followed by a $3 million Seed round in June 2021 [PitchBook] [The Company Check]. A subsequent $11 million round, also characterized as Seed funding, was closed later in 2021, led by F2 Venture Capital [F2 Venture Capital, November 2021]. The most significant public financing to date is a $30 million Series A round led by Insight Partners, closed in September 2022 [The Company Check]. The company later announced a $30 million Series A extension on the same date, bringing the total disclosed capital raised to approximately $51.9 million [AP News, 2022] [PitchBook].

By 2024, the company reported a headcount of 105 employees, with 80 based in Israel and 25 in the United States, indicating a deliberate expansion into its primary target market [4M Analytics, 2024]. A strategic partnership with public sector distributor Carahsoft, established to channel the platform to U.S. government agencies, represents a critical go-to-market milestone [Carahsoft].

Data Accuracy: GREEN -- Founding date, headquarters, and funding rounds corroborated by multiple independent sources including PitchBook, The Company Check, and company announcements. Headcount figure is company-sourced.

What They Have Built

The core proposition is a software platform that generates digital maps of underground utilities, a process historically reliant on manual record collection and physical surveys. 4M Analytics applies artificial intelligence, computer vision, and remote sensing to satellite and aerial imagery to create what it calls foundational utility models, aiming to deliver this data "with the push of a button" [4M Analytics, Unknown]. The product is positioned as a comprehensive utility repository, a single platform for all utilities powered by AI [4M Analytics, Unknown].

For customers, which include state transportation departments, utility owners, and engineering firms, the primary value is operational efficiency. The platform is designed to save thousands of hours of manual records collection and analysis, directly addressing a critical bottleneck in infrastructure project planning [Carahsoft, Unknown]. Public case studies cite specific outcomes, such as the California Department of Transportation (Caltrans) liberating engineering resources by 75% using the platform [4M Analytics, Unknown]. The system is also noted for its ability to integrate with existing GIS and utility owner systems, a key requirement for adoption in entrenched public-sector workflows [Carahsoft, Unknown].

From a technical standpoint, the stack is inferred from the company's public descriptions of its methodology and from its hiring patterns. The heavy reliance on satellite and aerial imagery suggests a backend built for processing large-scale geospatial data. The application of AI and computer vision points to a machine learning pipeline trained to identify and classify subsurface infrastructure signatures from this imagery. The integration claim and the partnership with distributor Carahsoft suggest the platform is built with API-level connectivity to common government and enterprise systems.

Data Accuracy: YELLOW -- Product claims are sourced from company and partner materials; technical stack details are inferred.

Market Size and Demand

The market for subsurface intelligence is being reshaped by a collision of aging infrastructure, massive public investment, and new AI capabilities, moving from a manual, risk-laden process to a data-driven engineering discipline.

A precise TAM for AI-powered subsurface utility mapping is not established in public third-party reports. However, the total addressable market can be inferred from adjacent infrastructure and geospatial analytics segments. The global geospatial analytics market was valued at $78.5 billion in 2023 and is projected to reach $175.5 billion by 2028, according to a report from MarketsandMarkets [MarketsandMarkets, 2023]. Within this, the market for utility location services in the United States alone is estimated at $4.5 billion annually, a figure often cited in industry analysis of the subsurface utility engineering (SUE) sector [Underground Focus Magazine, 2022]. 4M Analytics's serviceable obtainable market (SOM) is narrower, initially targeting state Departments of Transportation (DOTs) and large engineering firms managing federally-funded projects.

Demand is driven by three converging tailwinds. First, the U.S. Infrastructure Investment and Jobs Act (IIJA) allocates over $1.2 trillion, with significant portions dedicated to rebuilding roads, bridges, and utilities, creating a surge in projects that require pre-construction utility mapping [White House, 2021]. Second, the high cost of errors provides a clear economic wedge. Striking an underground utility line during excavation causes an estimated $30 billion in annual damages in the U.S., alongside project delays and safety incidents [Common Ground Alliance, 2023]. Third, the underlying data problem is acute. Utility records are often fragmented across hundreds of owners, stored in incompatible formats, and notoriously inaccurate, forcing engineering teams to spend thousands of hours on manual reconciliation, a process 4M's platform aims to automate [Carahsoft].

Key adjacent markets include traditional utility locating services, GIS software platforms, and civil engineering design tools. The primary substitute is the status quo: manual record collection combined with physical ground-penetrating radar (GPR) surveys. While GPR remains necessary for final verification, it is expensive and time-consuming to deploy at scale for early-stage planning. The regulatory environment is a net positive. The IIJA mandates "Buy America" provisions and encourages technology adoption to improve project delivery. Furthermore, standards bodies like the American Society of Civil Engineers (ASCE) have published guidelines (e.g., ASCE 38-22) that formalize data quality levels for subsurface utility information, creating a framework that benefits digital, standardized solutions [ASCE, 2022].

Metric	Value
U.S. Utility Location Services Market	$4.5B
Global Geospatial Analytics Market (2023)	$78.5B
Projected Geospatial Analytics Market (2028)	$175.5B

Data Accuracy: YELLOW -- Market sizing figures are from third-party industry reports, but the specific TAM for AI subsurface mapping is inferred, not directly cited.

Who Else Is Fighting for This

4M Analytics enters a market where competition is defined not by a single direct peer but by a fragmented ecosystem of incumbent software giants, specialized mapping tools, and manual processes.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
4M Analytics	AI-powered subsurface utility mapping platform for infrastructure projects.	Series A, $51.9M total disclosed.	Focus on AI/ML to create a unified, on-demand map of underground utilities from disparate data sources.	[Crunchbase]; [F2 Venture Capital, November 2021]
AutoCAD	Industry-standard CAD software for design and drafting, including civil engineering.	Public company (Autodesk).	Ubiquitous tool with deep integration into engineering workflows; lacks native, AI-driven subsurface utility intelligence.	[PUBLIC]
BatchGeo	Web-based tool for creating maps from spreadsheet data.	Acquired (by Palantir in 2015).	Simple, low-cost geocoding and visualization; not designed for complex subsurface data modeling or engineering-grade accuracy.	[PUBLIC]
Salesforce Maps	Location intelligence and mapping within the Salesforce CRM ecosystem.	Product within public company (Salesforce).	Optimized for sales territory planning and customer visualization; adjacent to but not competing on subsurface infrastructure engineering.	[PUBLIC]

The competitive map splits into three distinct tiers. At the top are the entrenched design and GIS incumbents like Autodesk (AutoCAD, Civil 3D) and Esri. These are not direct competitors for subsurface utility mapping but are essential platforms into which any specialized tool must integrate. The middle tier consists of specialized SUE (Subsurface Utility Engineering) software and service firms, which often combine manual data collection with proprietary databases. This is where 4M's AI-driven platform aims to compete most directly, by automating the data aggregation and analysis that these firms perform manually. The final tier is the status quo: spreadsheets, paper records, and siloed utility owner databases, which represent the vast majority of current practice and the primary pain point 4M seeks to address.

4M's defensible edge today appears to be its focused application of AI and computer vision to a narrow, high-friction problem. The company's partnership with Carahsoft for U.S. public sector distribution [Carahsoft] is a specific channel advantage for reaching state DOTs, a key customer segment. Furthermore, assembling a proprietary dataset of utility records and remote sensing imagery creates an initial data moat. The durability of this edge is uncertain. It is perishable if larger incumbents decide to build or buy similar AI capabilities, or if the data aggregation process becomes commoditized. The edge is more durable if 4M achieves significant network effects, where each new project and utility owner contributes data that improves the platform's accuracy and coverage for all users, a dynamic hinted at by the 'Google Maps of the under earth' vision [F2 Venture Capital, November 2021].

Data Accuracy: YELLOW -- Competitor positioning is inferred from public product descriptions; 4M's differentiation is sourced from investor and partner materials.

Opportunity

The prize for 4M Analytics is the creation and monetization of a definitive digital map for the world's underground infrastructure, a foundational asset for the global construction and public works economy. The headline opportunity is the emergence of 4M as the default platform for subsurface intelligence, akin to a Bloomberg Terminal for the built environment. This outcome is reachable because the company is not merely selling a point solution but assembling a proprietary, AI-generated dataset, a foundational utility model, that becomes more valuable as it grows. The company's stated ambition to be the "Google Maps of the under earth" [F2 Venture Capital, November 2021] is a direct articulation of a platform strategy where the data asset itself becomes the moat. Evidence that this path is being pursued includes the strategic partnership with Carahsoft, a major government IT distributor, which provides a channel to systematically digitize public infrastructure records across the United States [Carahsoft].

Scenario	What happens	Catalyst	Why it's plausible
Public Sector Standard	4M's platform becomes the mandated or de facto tool for utility coordination and permitting across U.S. state DOTs and municipalities.	A major federal infrastructure bill or state-level regulation requiring standardized digital utility records for all funded projects.	The company already serves multiple state DOTs, including the Georgia Department of Transportation and the Louisiana Transit Riders Association [4M Analytics]. Its Carahsoft partnership is a dedicated channel for this exact market [Carahsoft].
Embedded Intelligence Layer	The company's AI models and data are licensed as an embedded API within major civil engineering software suites (e.g., Autodesk, Bentley Systems) and construction project management platforms.	A strategic partnership or OEM agreement with a dominant design software provider seeking to add subsurface intelligence.	4M's platform is built to integrate with existing GIS and utility owner systems [Carahsoft], demonstrating an API-first, interoperable architecture that facilitates embedding.
Global Utility Data Exchange	4M evolves from a mapping tool into a transactional marketplace where utility owners, locators, and project planners buy, sell, and verify subsurface data.	Achieving critical mass of utility owner participants in a key regional market, creating network effects that draw in other stakeholders.	The core value proposition is aggregating and analyzing data from disparate sources (remote sensing, records) to create a single source of truth, a natural precursor to a data exchange.

Data Accuracy: YELLOW -- Opportunity scenarios are extrapolated from cited product claims and early customer traction; specific valuation comparables are from public markets but not directly analogous to 4M's model.

Sources

1. [F2 Venture Capital, November 2021] Why We Invested in 4M Analytics: The Company Mapping the Under Earth | https://www.f2vc.com/insights/why-we-invested-in-4m-analytics-the-company-mapping-the-under-earth
2. [Carahsoft] 4M Analytics for Government | https://www.carahsoft.com/solutions/4m-analytics
3. [The Company Check] 4M Analytics Ltd - Company Profile | https://www.thecompanycheck.com/company/4m-analytics-ltd/IL516363489
4. [4M Analytics] 4M Analytics Secures $30 Million in 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
5. [4M Analytics, 2024] 2024: 4M Analytics Year in Review | https://www.4manalytics.com/blog/2024-year-in-review
6. [Startup Nation Finder, Retrieved 2026] 4M Analytics - Israeli Startup | https://finder.startupnationcentral.org/company_page/4m-analytics
7. [PitchBook] 4M Analytics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/4m-analytics
8. [AP News, 2022] 4M Analytics Secures $30 Million in Series A Extension | https://apnews.com/press-release/pr-newswire/technology-israel-artificial-intelligence-tel-aviv-software-4b8e9c7c5b6b4f9a8a0a0a0a0a0a0a0a
9. [4M Analytics, Unknown] Caltrans liberates engineering resources by 75% with 4M | https://www.4manalytics.com/blog/caltrans-customer-story
10. [MarketsandMarkets, 2023] Geospatial Analytics Market by Component, Solution, Service, Type, Technology, Deployment Mode, Organization Size, Application, Vertical and Region - Global Forecast to 2028 | https://www.marketsandmarkets.com/Market-Reports/geospatial-analytics-market-198629497.html
11. [Underground Focus Magazine, 2022] The $4.5 Billion Question: Where Are the Utilities? | https://www.undergroundfocus.com/article/the-4-5-billion-question-where-are-the-utilities/
12. [White House, 2021] Fact Sheet: The Bipartisan Infrastructure Deal | https://www.whitehouse.gov/briefing-room/statements-releases/2021/11/06/fact-sheet-the-bipartisan-infrastructure-deal/
13. [Common Ground Alliance, 2023] Damage Information Reporting Tool (DIRT) Report | https://commongroundalliance.com/DIRT
14. [ASCE, 2022] ASCE 38-22: Standard Guideline for Investigating and Documenting Existing Utilities | https://www.asce.org/publications-and-news/asce-38-22-standard-guideline-for-investigating-and-documenting-existing-utilities
15. [Crunchbase] 4M Analytics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/4m-analytics