🤗 New Investment: PangeAI is transforming geospatial intelligence with AI agents

We are excited to announce that Tensor Ventures invested in PangeAI, a deep-tech startup redefining how organizations understand and make decisions about the physical world.

Founded by Johanna von der Leyen and Marek Miltner, PangeAI is building AI agents that make complex geospatial analysis as simple as typing a prompt, turning spatial intelligence from a specialist-only capability into an instant, decision-ready tool for businesses and public institutions.

The company has raised over $1 million in pre-seed funding from a strong transatlantic syndicate, including Miton, Plug and Play, RTP Global, Stanford-affiliated investors, and Tensor Ventures, alongside a group of strategic angel investors across Europe and the United States.

At its core, PangeAI is driven by a powerful ambition: to make the physical world as searchable and understandable as the digital one, unlocking faster decisions, safer infrastructure, and more sustainable investments.

PangeAI: Making the Physical World Searchable

Much of today’s most important decision-making is grounded in the physical world — land, infrastructure, climate, and risk. Yet understanding this world remains surprisingly difficult.

The data exists, but it is locked behind complex geospatial tools, fragmented datasets, and specialist-driven workflows that take weeks to produce answers.

PangeAI is changing that.

By combining frontier AI with geospatial intelligence, PangeAI makes complex spatial reasoning accessible to anyone, not just GIS experts.

Why PangeAI?

Geospatial intelligence underpins decisions across energy, insurance, infrastructure, finance, and climate. Yet despite its importance, the way organizations work with spatial data has barely evolved.

Today, answering questions like where to build, where risk is increasing, or where nature can be restored typically requires hiring GIS experts, assembling datasets manually, running custom analyses, and translating technical outputs into management reports. It is expensive, slow, and poorly aligned with real decision timelines.

PangeAI removes this bottleneck.

Its AI agents automatically identify relevant datasets, select the right analytical methods, run spatial reasoning, and return clear, decision-ready outputs, all from a natural-language query. No GIS expertise required.

This represents a shift from consultant-driven geospatial projects to instant, AI-native spatial intelligence.

What’s Their Story?

PangeAI was founded by Johanna von der Leyen and Marek Miltner, who share an academic background at Cambridge and later reunited at Stanford University.

Both founders encountered the same structural problem from different perspectives.

Johanna worked on environmental and climate challenges from a business and policy perspective, including several years at Stanford and McKinsey. Across infrastructure, energy, and climate-risk projects, she repeatedly saw how critical decisions were slowed by inaccessible and expert-dependent geospatial analysis.

Marek brings deep technical expertise, with more than eight years of experience building AI-first products and multiple startup exits. His research at Stanford focused on the intersection of artificial intelligence, sustainable energy, and geospatial data, using spatial intelligence to optimize real-world systems.

Together, they set out to rebuild geospatial intelligence from first principles, not as better GIS software, but as an AI system designed around how decisions are actually made.

A New Approach to Geospatial Intelligence

Core product pillars include:

• Plain-Language Spatial Queries
  Users don’t need technical GIS skills. Just ask a question in everyday language and get actionable GIS insights.

• Autonomous AI Agents
  Behind the scenes, intelligent agents decide which datasets and analytical methods to apply, delivering results in minutes rather than months.

• Automated Data Integration
  The platform automatically ingests internal and external data sources, removing the traditional bottleneck of data preparation.

The outcome is spatial analysis that feels as simple as a search engine query, but grounded in real, complex earth data.

Wide Applicability Across Industries

PangeAI’s capabilities aren’t limited to one use case. According to their site, the product delivers the most value wherever decisions rely on land, risk, and environmental context.

Some of the most compelling areas include:

• Energy & Infrastructure
  Automated siting, risk screening, feasibility assessments, and monitoring workflows, reducing uncertainty on high-stakes projects.

• Natural Capital & Climate
  Tracking land-use changes, identifying restoration opportunities, and supporting climate-aligned investment decisions.

• Insurance & Financial Services
  Rapid hazard scoring, portfolio exposure mapping, and accumulation analysis that traditionally required whole data teams.

Across industries, PangeAI accelerates insights while lowering the cost of analysis, often replacing entire consultant engagements with an AI-driven workflow.

What Makes PangeAI Different?

PangeAI is not a mapping tool and not a traditional GIS platform.

It functions as a digital geospatial expert.

Its system of AI agents can:

• automatically ingest and combine geospatial and internal datasets

• select the appropriate analytical techniques based on the question

• run simulations and spatial reasoning

• generate maps, summaries, and reports

All in response to a plain-language prompt written by a business analyst, investor, or executive.

Rather than optimizing for layers, tools, or interfaces, PangeAI optimizes for clarity, speed, and action.

This agentic approach fundamentally changes how organizations interact with spatial data, shifting the focus from tooling and expertise to insight and decision-making.

How Have They Grown?

Although still early, PangeAI has already demonstrated strong market traction.

Within months of launching, the company has signed multiple paying enterprise customers, validating both the urgency of the problem and the demand for AI-native geospatial intelligence. Early adoption spans organizations for whom spatial data is mission-critical, and where speed, scale, and decision-readiness matter most.

The company initially developed with support from academic grants and quickly transitioned into commercial deployments, a pace that reflects how acutely outdated existing geospatial workflows have become.

Why We’re Invested

At Tensor Ventures, we invest in deep-tech companies that connect advanced computation with the physical world, especially where legacy industries are constrained by outdated tools and slow workflows.

PangeAI sits at exactly this intersection.

They are tackling one of the world’s largest and most under-digitized data categories, and doing so with a product that replaces manual expertise with autonomous reasoning at scale.

From our first conversation, we were convinced by the founders’ depth, clarity of vision, and ambition to redefine an entire category.

PangeAI is not just building a new product.
They are creating a new way of working with the planet.

And we’re proud to support them.