Exodigo

AI-powered subsurface intelligence for underground utility, foundation, and geotechnical mapping

Multi-sensor subsurface imaging service that fuses ground-penetrating radar, electromagnetic, magnetic, and other geophysical sensor data with AI and geophysicist review to produce 3D maps of underground utilities, foundations, and geotechnical conditions without excavation.

$214M total to date — $105M Series A (Feb 2024, converting $30M in earlier SAFEs) plus $96M Series B (Jul 2025, co-led by Zeev Ventures and Greenfield Partners, with 10D, Square Peg, JIBE, Vintage Investment Partners, Leblon Capital, and Suffolk Technologies among backers) raisedGrowth Stage

Founded 2021 · Company reports 100+ global clients, including 50+ transit agencies, DOTs, municipalities, and utilities; named customers include VINCI Construction, GRDF, LA Metro, Caltrans, Amtrak, National Grid, Sound Transit, and Port of Los Angeles

Website →← All Tools

WHY IT EXISTS

Why This Tool Exists

The Problem

Underground utility strikes happen roughly every 60 seconds in the U.S., and existing utility records routinely miss buried lines — in a third-party pilot with VINCI Construction and GRDF, Exodigo located 57% more utility lines at a Paris-area test site than existing records showed. Traditional subsurface utility engineering relies on intrusive potholing and single-sensor locating, which is slow, disruptive to sites, and still leaves gaps that surface as mid-construction redesigns, change orders, and schedule delays once excavation hits an unmapped line.

The Solution

Exodigo scans a site with a multi-sensor array — multi-channel ground-penetrating radar, time/frequency-domain electromagnetic induction, magnetic gradiometry, and other geophysical sensors mounted on carts, drones, or vehicles — then fuses the resulting signals in the cloud using AI models that run physics-based simulations to predict the location, depth, and type of buried utilities, foundations, and geotechnical features. Geophysicists and civil engineers review the AI output before delivery, and results are packaged as engineering-grade 2D/3D maps and digital twins, with newer "AI Engineering" (utility/HDD design, 2D-to-3D transformation) and utility relocation cost-estimation services layered on top of the core scanning product.

USAGE

How You Use It

Delivery Method

Managed Service (on-site data capture + cloud AI processing)Web Platform (deliverable review)

Integrations

Esri ArcGIS (map package export)AutoCAD/Civil 3D (CAD export)

Disciplines

Civil Engineering, Construction, Structural Engineering

Workflows

Data & Automation

Project Phases

Pre-Design, Design Development, Construction Administration

Project Types

Commercial, Infrastructure, Industrial

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required:Project site location/boundary, On-site multi-sensor scan performed by an Exodigo crew

Optional:Existing utility records/as-builts, Geotechnical reports, Permits, Satellite imagery, Design drawings for validation against scan results

Formats:GIS site boundary/coordinates, Existing CAD/GIS utility records, PDF reports

Output

What you get

Format:Engineering-grade 2D/3D subsurface maps and digital twins

Fields:Utility line location, depth, and type, Foundation locations, Geotechnical/soil condition data, Design-ready CAD/GIS deliverables

Algorithm

How it works

Model:Proprietary multi-sensor fusion + physics-simulation AI (specific model architecture not publicly disclosed)

Accuracy:Vendor claims "99% accuracy" in underground utility detection in its July 2025 funding announcement (compared to an asserted industry baseline of missing up to 50% of utilities); a VINCI Construction/GRDF pilot separately found Exodigo identified 57% more utility lines than existing records at a test site. No independent, peer-reviewed accuracy methodology is publicly available — treat vendor accuracy figures skeptically.

Privacy

How your data is protected

Retention:Per Exodigo's public privacy policy, personal data (from web forms, job applications, etc.) is stored until Exodigo deletes its records or receives a valid deletion request, with longer retention when required by law; no fixed retention period is stated for underground project/scan data itself.

Training:Not publicly specified whether client project scan data is used to train Exodigo's detection models — the company describes its algorithm database as "continually evolving" with new project data, but the public privacy policy does not address AI/ML training use directly.

Compliance:GDPR provisions referenced in privacy policy for EEA/UK data subjects, CCPA/California privacy rights referenced, No SOC 2, ISO 27001, or other formal security certification publicly disclosed

API

Integration

Endpoint:Contact vendor for API access

Method:Not publicly documented as a self-serve API — Exodigo is delivered as a managed data-capture and analysis service rather than software with a public API

USE CASES

Use Cases

·Pre-design subsurface utility mapping to avoid unmarked-line strikes before excavation
·Foundation and geotechnical condition mapping for transit, rail, and infrastructure projects
·Utility and horizontal directional drilling (HDD) design informed by verified underground conditions
·Targeted validation scans to confirm utility location/depth at specific dig points during construction
·Utility relocation cost estimation and stakeholder coordination for capital infrastructure programs

PRICING

Pricing

Free

No free tier or trial; a scope-of-work quote is required

Pro

Not applicable — Exodigo prices as custom, project-based service contracts (reported as multi-million-dollar engagements for large infrastructure programs) rather than published per-seat or subscription tiers

Enterprise

Custom contracts negotiated per project scope, site size, and deliverable set; contact vendor for a quote

Website →

Research Sources & Data QualityLast verified: 2026-07-17

Data Sources (13)

Verified Data (11)

problem, solution, deliveryMethod, yearFounded (2021), founders (Jeremy Suard, Yogev Shifman, Ido Gonen, Omer Hameiri), headquarters (Tel Aviv + SF Bay Area), fundingTotal ($214M total: $105M Series A Feb 2024 + $96M Series B Jul 2025), named customers (VINCI Construction, GRDF, LA Metro, Caltrans, Amtrak, National Grid, Sound Transit), sensor technologies (GPR, EM induction, magnetometry), output formats (ArcGIS, AutoCAD, PDF), privacy retention/GDPR/CCPA language

Not Found (6)

self-serve API documentation, published pricing, SOC 2/ISO certification, independent accuracy benchmark methodology, exact employee count, exact total customer count (reported as "100+" or "50+" depending on source/date)

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

ALTERNATIVES

Similar Tools

🌱

2050 Materials

Data & Automation

Digital information and research platform for the AEC industry to explore, compare and source sustainable building materials with comprehensive sustainability data.

Integrate real-time data on building material climate impacts with API-first solution. Access the industry's largest, highest-quality sustainability database for immediate embodied carbon calculations.

AI platform that transforms natural language questions into interactive maps, charts, and spatial analysis for urban planning and site selection without requiring GIS or coding skills.

View Details →