PangeAI: The "Google Search" for the Physical World

Company & Team Introduction

PangeAI, operating out of Prague and San Francisco, is an emerging force in the "Agentic AI" space, specifically targeting the $100B geospatial intelligence market. The company epitomizes the shift from static data visualization to active spatial reasoning, aiming to make the physical world as searchable and queryable as the digital one. By replacing complex GIS (Geographic Information Systems) workflows with autonomous agents, PangeAI allows non-experts to instantly analyze infrastructure, climate risks, and energy assets.

The leadership combines deep academic AI research with venture-building experience:

• Marek Miltner (Founder): A Stanford researcher and AI engineer with a focus on sustainable energy systems. Miltner’s background bridges the gap between theoretical machine learning and industrial application, specifically in energy load forecasting and grid optimization. His technical pedigree suggests PangeAI is built on proprietary, domain-specific models rather than generic wrappers.

• Key Partners: The company is backed by high-profile figures in the Central European tech ecosystem, including Roman Smola (Tensor Ventures) and Tomas Matejcek (MITON), signaling strong operational support from investors who specialize in deep-tech and AI infrastructure.

Product Overview

PangeAI distinguishes itself by offering an "Agentic Geospatial Workflow". Unlike traditional tools that require teams of GIS specialists to manually overlay map layers, PangeAI uses autonomous agents to execute complex spatial queries via natural language.

• The Geospatial Analyst Agent: This core engine ingests messy, unstructured satellite and terrain data, automatically selecting the right datasets to answer business questions (e.g., "Where is the optimal site for a 50MW solar farm in Nevada avoiding protected species?").

• Dynamic Layering: The platform moves beyond static maps, generating real-time, interactive simulations that allow users to toggle variables (climate risk, supply chain routes) and see instant impact assessments.

• Democratized Access: The primary value proposition is accessibility. PangeAI removes the technical barrier of entry for asset managers, insurers, and urban planners, effectively turning every business analyst into a GIS expert.

Market Opportunity

PangeAI is capitalizing on the "Physical Intelligence Gap"—the massive disconnect between the exploding volume of earth observation data (satellites, drones, IoT) and the scarcity of experts capable of analyzing it. The company targets three high-urgency verticals:

• Energy Transition: Automating the site selection process for renewables (Solar/Wind) to bypass permitting bottlenecks and accelerate grid deployment.

• Insurance & Risk: Providing insurers with asset-level hazard scoring (floods, wildfires) that updates in real-time, rather than relying on outdated historical models.

• Supply Chain Resilience: Helping logistics and infrastructure companies monitor physical assets against climate and geopolitical threats.

Business Model & Traction

PangeAI operates a SaaS / Enterprise Licensing model, likely tiered by the complexity of queries and volume of geospatial data processed.

• Traction Indicators: Despite its early stage, the company is showing signs of immediate "stealth breakout" interest.

• Operational Efficiency: With a lean headcount of sub 10 employees and a projected IT spend of $2.7M, the company is heavily investing in compute and data infrastructure, prioritizing backend capability over sales bloat. This high "compute-per-employee" ratio is typical of AI-native startups building defensible technical moats.

Competitors

PangeAI enters a market dominated by entrenched incumbents but ripe for disruption by AI-native challengers.

• The Incumbent (Esri / ArcGIS): The industry standard for GIS. Powerful but notoriously complex, expensive, and requiring specialized training (the "consultant trap").

• The AI Challengers (Pachama, Sylvera): These companies focus heavily on carbon credits and nature markets. PangeAI differentiates by being a broader general-purpose spatial reasoning engine rather than a niche carbon tool.

• Big Data Generals (Palantir): While Palantir handles spatial data, it is a heavy, service-intensive enterprise solution. PangeAI offers a more lightweight, product-led alternative.

Funding

PangeAI has secured over $1M in early-stage capital, validating its technology with a blend of regional powerhouses and global VCs.

• Seed Round (Dec 11, 2025): $1M. Led by MITON, with participation from RTP Global, Tensor Ventures, Plug & Play, Vocal Ventures, and Spinoffy. The wide range of investors suggests a hot round with high demand.

• Academic Validation: A grant from Stanford University (Dec 11, 2025) provides critical non-dilutive funding and validates the scientific rigor of the underlying technology.

• Pre-Seed: Backing from Plug and Play (Aug 2025) highlights early interest from one of the world's most active corporate innovation platforms.