Skip to main content

LGND AI

Category: AI Infrastructure

An AI platform that makes Earth data accessible and useful for people and AI systems. It transforms satellite imagery and other spatial data into scalable geographic embeddings, enabling advanced analysis and insights. LGND AI was founded in 2024. The company is led by Nathaniel Manning. Based in Philadelphia, United States. Team size: 11-50. Total funding raised: $9 million. Latest round: Seed. Key investors include Javelin Venture Partners, AENU, Space Capital, Ridgeline, MCJ, Coalition Operators, Clocktower Ventures, Overture.

Founded
2024
Headquarters
Philadelphia, United States
Team size
11-50
Total funding
$9 million

Value proposition

Making Earth data solutions significantly simpler, faster, and more affordable (by up to 99%) by providing the tools to create, query, and serve geographic embeddings for precise, data-driven insights.

Products and solutions

Enterprise application for querying spatial data, SDKs and APIs for developers, Hosted vector search database for geographic embeddings, Model warehouse for generating and fine-tuning embeddings

Unique value

Focuses on transforming satellite imagery and spatial data into scalable geographic vector embeddings. This allows users to query vast amounts of Earth data using natural language and AI, making complex analysis more intuitive.

Target customer

Enterprises in sectors like insurance, finance, and logistics; government and public agencies; and AI/ML developers requiring geospatial data for their models.

Industries served

Insurance, Finance, Public Agencies, Climate & Sustainability, Defense & Logistics, AI Development

Technology advantage

Proprietary 'geo-embeddings factory' that can produce scalable Earth datasets faster and more affordably than traditional computer vision approaches, significantly lowering the cost and complexity of geospatial analysis.

How they differentiate

LGND differentiates itself by focusing on converting complex geospatial data into intuitive 'geographic embeddings'. This makes Earth data as easy for AI models to use as text or images, democratizing access compared to traditional, more complex geospatial analysis platforms.

Main competitors

Planet Labs, Orbital Insight, Descartes Labs

Key partnerships

CARTO integration partnership (LGND embedding search in CARTO Workflows), Google DeepMind Alpha Earth Foundation model integration in LGND API, Notable angel investors include John Hanke (founder of Google Earth) and Karim Atiyeh (CTO of Ramp)

Notable customers

Targeting enterprise clients in insurance, finance, public agencies, and climate adaptation sectors. Specific customers are not yet public.

Major milestones

Closed $9M seed funding round (July 2025), Emerged from stealth mode (July 2024), Launched enterprise application and API for initial clients (2024), Went GA (Generally Available) with public pricing tiers (2025-2026), Launched LGND Code Assistant (MCP connector) (2026), Partnered with CARTO and integrated Google DeepMind AlphaEarth (2026)

Growth metrics

Emerged from stealth in July 2024 after closing its seed round. The company is now focused on accelerating the development of its geospatial AI tools and onboarding initial enterprise clients.

Market positioning

Positioned as an enterprise-grade platform to make Earth data accessible and actionable for businesses and AI developers, aiming to be the foundational 'ChatGPT for the Earth'.

Geographic focus

Primarily North America, with a focus on global enterprises in insurance, finance, and logistics.

Patents and IP

No public patents listed due to the company's early stage.

About Nathaniel Manning

Nathaniel Manning is the co-founder and CEO of LGND AI. He has a background in technology and international development, having previously served as the CEO of Ushahidi, a non-profit technology company, and as a consultant for the World Bank.

Official website: