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Datumate

AI-powered drone data platform for heavy civil construction progress tracking

Datumate builds DatuBIM, a cloud-native SaaS platform that converts drone and UAV imagery into georeferenced 3D models and analytics for heavy civil and infrastructure construction. It automates progress tracking, volume/earthworks measurement, and plan-deviation detection for roads, rail, bridges, and earthworks projects, and is positioned by the company as an alternative to vertical-construction-focused software.

~$5-10M total across multiple rounds and non-dilutive grants; third-party trackers disagree on the total (Tracxn: $5M across 3 rounds; other aggregators: $10M across 2 rounds). The only publicly confirmed amount is a $5M round led by Battery Ventures with Al-Bawader participating, announced April 2014. Other reported funding sources include Pitango Venture Capital, the BIRD Foundation, and the EU Horizon 2020 grant program. Note: the research seed for this entry listed "Ferrovial" as a funding backer, but no evidence of a Ferrovial equity investment was found — Ferrovial Construcción's own website describes an "enterprise agreement" (DatuBIM deployed on 50+ sites, 130+ users), indicating a customer relationship, not an investment. raisedGrowth Stage
Founded 2012 · 125+ active customers across 8,948+ managed sites and 14,000+ processed drone flights (per company website). Named enterprise customers/partners include Ferrovial Construcción, Webber, PennDOT, UDOT, Vinci, Kiewit, Blythe, EE Cruz, Thalle Construction, Danya Cebus, Netivey Israel, Trans Israel, and Shapir.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Heavy civil and infrastructure contractors, owners, and DOTs traditionally track earthwork progress and verify billing quantities through manual land surveys and site walks — a slow, low-frequency process that can leave plan deviations, rework, and billing disputes undetected for weeks across projects spanning miles of roadway, rail, or bridge work.

The Solution

DatuBIM automates data capture via drone (or other UAV/camera) imagery and processes it with computer-vision and photogrammetry algorithms into georeferenced 3D models, comparing site captures against design files to calculate cut/fill volumes, flag deviations from plan, and generate progress and billing-verification reports through a cloud dashboard, with a bidirectional Procore integration for annotation syncing.

USAGE

How You Use It

Delivery Method
SaaSWeb App
Integrations
Procore
Disciplines
Construction, Civil Engineering
Workflows
Coordination & Delivery
Project Phases
Pre-Design, Construction Administration
Project Types
Infrastructure
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Drone or UAV aerial imagery (minimum 20MP camera with GPS, per company FAQ)
Optional:LiDAR data, RTK/PPK imagery, Design files for as-built comparison (DXF, DWG, DGN, LandXML, IFC)
Formats:Drone/UAV imagery (drone- and camera-agnostic), LiDAR point clouds, DXF, DWG, DGN, LandXML, IFC
Output
What you get
Format:Georeferenced 3D models, orthophotos, and progress/volume analytics delivered via a cloud dashboard
Fields:Progress percentage vs. plan, Cut/fill and volume calculations, Plan deviation flags, Cross-section and heatmap reports, Geo-referenced DXF exports, 3D models/digital twins
Algorithm
How it works
Model:Proprietary computer vision and photogrammetry algorithms, described by the company as drone- and camera-agnostic; no named ML architecture publicly disclosed
Accuracy:Company claims "survey-grade" precision and accuracy; no independently published accuracy percentage or benchmark methodology found
Privacy
How your data is protected
Retention:Corporate website privacy policy states personal information is retained "for as long as reasonably necessary" for business purposes, with no specific timeframe disclosed. The DatuBIM product itself is stated to be governed by a separate "DatuBIM Service Privacy Notice," which returned a 404 error at the linked URL during research.
Training:Not publicly specified
Compliance:Not publicly specified — no SOC 2, ISO 27001, or similar compliance certification found; privacy policy references GDPR obligations but documents no formal certification
API
Integration
Endpoint:Contact vendor for API access — a developer portal is linked at datumate.com/dev but returned no publicly accessible documentation during research
Method:Not publicly specified
USE CASES

Use Cases

  • ·Daily or periodic drone-based progress tracking on roads, rail, bridge, and earthworks projects in place of manual land surveys
  • ·Volume and quantity takeoffs for cut/fill, excavation, and stockpile measurement
  • ·Plan deviation detection to catch quality and constructability issues before costly rework
  • ·Billing and change-order verification using as-built vs. design comparisons (one published case study cites preventing $40,000 in disputed damages)
  • ·Multi-site portfolio oversight for owners, DOTs, and engineering/consulting firms managing distributed infrastructure programs
PRICING

Pricing

Free
Demo available on request; no self-serve free tier found
Pro
Custom pricing based on number of user licenses and images processed, per the company FAQ; no published price list. No limits on number of projects or drones per organization.
Enterprise
Custom pricing — contact sales
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Research Sources & Data QualityLast verified: 2026-07-17
Data Sources (14)
Verified Data (11)
problem, solution, deliveryMethod, integrations (Procore), disciplines/projectTypes (heavy civil/infrastructure focus), yearFounded (2012), headquarters (Yoqneam Illit, Israel), customerBase (125+ customers, named enterprise accounts), input/output formats, algorithm approach (drone photogrammetry + computer vision), pricing model (license + image-volume based)
Not Found (5)
exact total funding amount (conflicting third-party figures), api-documentation, compliance-certifications (SOC 2/ISO), independent-ai-accuracy-benchmarks, DatuBIM-specific privacy notice (404 on linked URL)
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.
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