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SpatialData.AI

SpatialData.AI provides SOLV3D, a Design‑Centric Digital Twin platform that automatically converts raw LiDAR and aerial imagery into engineering‑ready 3D models, CAD/GIS drawings, and analytics. Using machine‑learning and computer‑vision, the software cleans, extracts features, and aligns data to industry standards, delivering actionable spatial insights through a browser‑based, collaborative interface for utility, telecom, and engineering teams.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering, telecom, and utility firms often purchase raw LiDAR and aerial imagery datasets that are difficult to process and integrate, requiring specialized hardware, software, and expertise. This complexity leads to underutilized data, delayed projects, and increased costs for organizations that need actionable spatial insights.

Solution

SpatialData.AI offers a Design‑Centric Digital Twin platform called SOLV3D that converts raw 3D point clouds and imagery into engineering‑ready CAD/GIS models and analytics. The platform applies machine‑learning and computer‑vision techniques to automate data cleaning, feature extraction, and alignment with existing standards, delivering outputs that fit directly into users’ workflows. Processed datasets are accessible through a browser‑based interface that supports desktop and cloud collaboration, enabling teams to visualize, analyze, and edit spatial information without additional tooling. By providing ready‑to‑use digital twins, SpatialData.AI reduces the time and expertise needed to turn raw data into actionable infrastructure insights.

Target Audience

Primary customers are utility companies, telecom operators, and engineering firms that require precise, ready‑to‑use spatial models for asset management, vegetation control, and infrastructure design.

Features

  • Automated processing pipeline that transforms raw LiDAR and 360° imagery into high‑accuracy 3D models and CAD/GIS drawings
  • Machine‑learning driven feature extraction for vegetation encroachment, asset condition, and risk mapping
  • Browser‑based SOLV3D interface with real‑time collaboration, visualization, and editing tools
  • Seamless integration with existing engineering software and GIS platforms via standard file formats and APIs
  • Scalable cloud architecture that supports large‑scale utility and telecom network datasets
  • Exportable Design‑Centric Digital Twins that align with industry standards for immediate use in planning and compliance workflows
This profile is AI-generated and may contain inaccuracies.