Near Space Labs Raises $20M Series B to Expand Stratospheric Imaging
Summary
Near Space Labs has announced a $20 million Series B funding round to boost the delivery of its ultra-high-resolution, frequently updated aerial imagery across the continental United States. Traditional risk models, often based on outdated or static data, are quickly being replaced by dynamic, AI-driven workflows that rely on high-frequency geospatial insights.Near Space Labs has solved a fundamental challenge in geospatial intelligence: delivering high-resolution imagery with the frequency, scale, and economics that truly unlock commercial value, said Will Borthwick, Principal at Bold Capital. "With the fresh capital, Near Space Labs plans to expand its fleet of proprietary Swift robots, which operate at altitudes three times higher than airplanes but lower than satellites. Near Space Labs model offers rapid mobilization for urgent missions or routine scheduled updates across wide geographic regions.In 2025, subscribers to the companys national coverage program will gain access to customizable imaging plans, allowing organizations to align data collection with their operational priorities.Founded in 2017 and based in Brooklyn, NY, Near Space Labs is a leader in stratospheric remote sensing. Through its nationwide network of Swift robots, the company provides unmatched 7cm resolution imagery, setting a new standard in commercial geospatial intelligence.The company has intentionally focused on building a sustainable, private-market solution, distinguishing itself from traditional Earth observation models that heavily depend on federal contracts.Near Space Labs has raised over $40 million to date and continues to expand its technological infrastructure to meet the evolving demands of commercial clients.The Series B round was led by Bold Capital Partners and joined by USAA, Climate Capital, Gaingels, and River Park Ventures, alongside continued support from Crosslink Capital, Third Sphere, and Draper Associates.Their backing underscores a growing recognition of the strategic role high-frequency, high-resolution imagery will play across industries in the AI era.