Felt has secured a $15 million funding round led by Energize Capital, with additional participation from Bain Capital Ventures and Footwork VC. This new capital will accelerate efforts to modernize how enterprises interact with geospatial data by embedding AI into everyday spatial workflows — reducing deployment times by as much as 75%.
The global GIS market, currently valued at $9.8 billion, underscores the widespread reliance on mapping technologies across critical industries. However, accessing and utilizing spatial data continues to present significant challenges. Legacy GIS platforms often require specialized knowledge, which forces business units to rely on technical teams to fulfill mapping and data requests. This approach slows down operations and limits the broader use of geospatial insights.
Felt eliminates this inefficiency by enabling seamless connections to any cloud source and providing intuitive, high-performance tools for cross-functional teams. The platform removes technical bottlenecks, allowing spatial data to be more accessible and actionable at every level of an organization.
Over the past three years, Felt has collaborated with global enterprises to understand how spatial data can influence workflows beyond traditional GIS departments. These organizations, despite having robust cloud infrastructure and skilled personnel, often fail to fully capitalize on spatial insights. Felt addresses this gap by integrating AI into code-based workflows, allowing technical teams to respond to requests in minutes rather than months. This approach ensures spatial insights are faster to access, easier to scale, and more impactful across all business functions.
Organizations including MSCI, Arevon, Cambridge Systematics, INTENT, and the County of Santa Barbara Department of Public Works have already partnered with Felt to address critical challenges—from renewable energy deployment to climate risk management.
"We needed a tool to share real-time spatial data with dozens of Arizona's Department of Forestry and Fire Management foresters across the state," said Alexander Shenkin, Director of NAU's Ecosystem Science and Innovation Lab. "Our initial estimate was a year of development work and $250,000 in consulting fees. With Felt, our team built the EcoMonitor in just a few weeks, delivering critical forest health and fire-prevention data to the hands of our foresters a year early."
Felt’s approach continues to demonstrate how AI-powered spatial tools can significantly enhance efficiency, accessibility, and impact in enterprise GIS.