Vangrid provides an edge‑computed platform that secures spatial data through cryptographic provenance and privacy controls, enabling organizations to ingest and fuse multiple sensor views via an enterprise Spatial API. The solution is targeted at strategic domains such as sovereign defense, autonomous logistics, and critical infrastructure, allowing embodied AI applications to operate on trusted, multi‑view location data.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations that rely on geospatial intelligence face challenges integrating heterogeneous spatial data while maintaining privacy, data provenance, and real-time accessibility, especially in high‑security or mission‑critical environments.
Solution
Vangrid delivers an edge‑computed spatial data platform that ingests multi‑view geospatial inputs and applies cryptographic provenance to guarantee data integrity. By processing data at the edge, the system preserves privacy and reduces latency before delivering standardized spatial information through an enterprise API. The platform supports secure, scalable deployment across domains such as sovereign defense, autonomous logistics, critical infrastructure, and embodied AI, enabling users to build trusted location‑aware applications without managing complex data pipelines.
Target Audience
Primary customers are defense agencies, autonomous logistics providers, critical infrastructure operators, and developers of embodied AI systems that require secure, high‑integrity spatial data.
Features
- Edge‑computed processing that keeps raw sensor data local, minimizing exposure and bandwidth usage
- Cryptographic provenance tags that provide immutable proof of data origin and transformation history
- Multi‑view ingestion engine supporting satellite, aerial, LiDAR, and IoT spatial sources
- Enterprise Spatial API delivering normalized, queryable geospatial data in real time
- Built‑in privacy controls and access policies for handling classified or sensitive location data
- Scalable architecture designed for deployment in defense, logistics, infrastructure, and AI workloads