CEO & Co-founder
Since Jul 2025 · 1 yr 4 mos
Profile summary: McKinsey consultant, Stanford MA
PangeAI
PangeAI provides an AI agent platform for Earth data that enables enterprises to analyze geospatial information without internal remote sensing expertise. The platform serves insurance, energy, infrastructure, real estate, mining, agriculture, and defense teams, with use cases including claims triage, underwriting, and infrastructure asset management. It is trusted by organizations such as NASA, the European Space Agency, and Deloitte.
- AI Agents
- Artificial Intelligence
- Data & Analytics
- Space Technology
- Enterprise Software
- Software Only
- Insurance Technology
Updated 1 month ago
Funding
Raised to date
$1MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Enterprises in sectors like insurance, energy, infrastructure, and agriculture need to make decisions based on geospatial information, but raw Earth observation data is complex, fragmented, and difficult to turn into actionable insights. Most organizations lack the internal remote sensing or data science capacity to curate, process, and analyze this data at the scale and speed their operations require.
Solution
PangeAI provides an AI Agent Platform for Earth Data that delivers spatial intelligence to enterprises that "can't afford to be blind" to what is happening on the ground. The platform handles the entire workflow of curating and processing satellite and other geospatial data, then translates it into structured, decision-ready outputs. Users interact with the system through an AI agent interface, allowing them to query and analyze physical assets, portfolios, and locations without needing deep technical expertise. The platform is designed to run in the customer's environment and supports a range of operational tasks from insurance claims triage to infrastructure monitoring, reducing the cost and complexity of geospatial analysis.
Target Audience
Primary customers are enterprises in insurance, energy and infrastructure, real estate, mining, agriculture, and defense/government sectors that need geospatial analysis to make operational decisions on physical assets and portfolios.
Features
- AI agent interface that allows non-specialist users to conduct complex geospatial queries and analyses in natural language
- End-to-end pipeline for curating, processing, and structuring raw Earth observation and satellite data
- Use-case specific solutions for insurance and reinsurance (claims triage, underwriting), energy and infrastructure, real estate, mining, agriculture, and defense
- Deployment flexibility that allows the platform to run in the customer's own environment, addressing data sovereignty and security concerns
- Encryption of data in transit and at rest, role-based access control, and audit logging for enterprise security compliance