SUNNYVALE/ SAN JOSE — Juniper Networks, a leader in AI-native networking, has announced its participation in Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures. As part of this investment, the two companies will collaborate to address the growing demand for scalable, energy-efficient AI inference solutions in cloud environments and data centers. The focus will be on advancing the capabilities of AI models, with an emphasis on improving performance, reducing energy consumption, and enhancing accuracy.
The collaboration will leverage Recogni’s patented AI inference accelerator, which is built on the Pareto mathematical system. This system, specifically designed to optimize energy efficiency while maintaining high accuracy, is positioned to support the largest AI models in a cost-effective and scalable way. By addressing the key challenges of power consumption and cost-effectiveness, this partnership aims to set a new standard in the AI industry, helping organizations maximize their compute resources while reducing operational expenses.
Rami Rahim, CEO of Juniper Networks, expressed his enthusiasm for the partnership: “The market for multimodal GenAI inference is evolving quickly, and Recogni is leading the charge in improving power efficiency without sacrificing performance or accuracy. In this critical phase of AI innovation, it’s clear that cost-effectiveness and power efficiency, along with scalable network solutions, are essential. We’re excited to contribute funding and collaborate with a team that has a proven track record of tackling complex challenges with innovative ideas.”
Marc Bolitho, CEO of Recogni, emphasized the synergy between the two companies: “Juniper’s dedication to advancing networking technologies perfectly complements Recogni’s mission to make AI more affordable and accessible. Through this collaboration, we are working to make it possible for the world’s largest AI models to operate at unprecedented levels of speed, accuracy, and efficiency—ultimately driving down the total cost of ownership for our clients.”
With this new funding and a shared vision for the future of AI, Recogni is well-positioned to continue its work on pushing the boundaries of what’s possible in AI inference. The collaboration with Juniper Networks will support hyperscalers, cloud service providers, and enterprises in scaling AI solutions more economically, while adhering to sustainability goals.