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Silicon Flash > Blog > Edge Computing > EdgeRunner secures $17.5M funding for developing secure offline edge AI solutions
Edge Computing

EdgeRunner secures $17.5M funding for developing secure offline edge AI solutions

Published May 12, 2025 By Juwan Chacko
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EdgeRunner secures .5M funding for developing secure offline edge AI solutions
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EdgeRunner AI has secured $17.5 million in funding, with $12 million coming from a Series A led by Madrona Ventures. The investment will be used to enhance team growth, product development, and the creation of domain-specific AI agents for military and enterprise applications. CEO Tyler Saltsman expressed the company’s commitment to developing AI agents that improve the efficiency and safety of warfighters.

Specializing in on-device AI assistants that operate without internet connectivity, EdgeRunner AI focuses on enhancing security, privacy, and efficiency in challenging environments. The platform utilizes open-source Large Language Models (LLMs) optimized for local devices, offering features like chat, Q&A, translation, transcription, and tool integrations. Collaborations with the U.S. Air Force Research Laboratory and Intel underscore the company’s dedication to delivering cutting-edge AI solutions tailored to specific needs.

EdgeRunner AI stands at the forefront of secure, autonomous, and hyper-localized AI at the edge, setting a new standard for military applications and paving the way for broader enterprise adoption of sovereign edge AI. This technological advancement not only benefits the military but also presents opportunities for businesses operating in environments where connectivity is unreliable, latency is critical, or data security is paramount.

See also  Decarbonising the Future: Harnessing AI for Sustainable Solutions
TAGGED: 17.5M, developing, edge, EdgeRunner, Funding, offline, Secure, Secures, Solutions
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