SUNNYVALE/ SAN JOSE — Juniper Networks, a leader in secure, AI-Native Networking, has announced its investment in Recogni, a pioneering company specializing in generative AI inference. As part of Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures, Juniper’s involvement will help accelerate the development of scalable, cost-effective, and energy-efficient solutions for AI inference in cloud and data center environments.
The collaboration will address the growing demand from hyperscalers, compute service providers, and enterprises for efficient AI solutions capable of handling increasingly sophisticated models. Recogni’s AI inference accelerator, which utilizes Pareto mathematics for optimization, is designed from the ground up to maximize energy efficiency and enhance model accuracy, making it an ideal solution for organizations looking to run complex AI models with lower energy consumption.
Rami Rahim, CEO of Juniper Networks, emphasized the significance of this collaboration:
“The rapid growth of the multimodal GenAI inference market requires innovative solutions that balance power efficiency with performance. Recogni’s approach to this challenge impressed us, and we are excited to provide venture funding and collaborate to help scale these solutions. Cost-effectiveness, power efficiency, and scalable network integration are key to making generative AI accessible and sustainable.”
Marc Bolitho, CEO of Recogni, shared his thoughts on the partnership:
“Juniper’s focus on pushing the boundaries of networking aligns seamlessly with our mission to make AI more accessible and economical. Through this collaboration, we aim to enable the largest AI models to run at unmatched speed, accuracy, and efficiency—significantly lowering the total cost of ownership for our customers.”
With the new capital and the strategic partnership with Juniper, Recogni is poised to drive further AI innovation, helping hyperscalers, cloud service providers, and enterprises scale their AI operations responsibly and economically.
