Manufacturing
Founded seven years ago, Recogni set out with a bold vision to revolutionize AI compute systems. What began as a mission to create the most compute-dense and energy-efficient accelerator for autonomous driving has expanded into a groundbreaking approach that could reshape the entire AI landscape. Today, Recogni is at the forefront of the rapidly advancing generative AI (GenAI) field, leveraging its innovative Pareto logarithmic number system to build AI inference systems that are not only faster and more accurate but also more energy-efficient and cost-effective than ever before.
Juniper has participated in Recogni's $102 million Series C funding round, which has been co-led by Celesta Capital and GreatPoint Ventures. The investment signals a pivotal moment in the company’s journey, enabling Recogni to accelerate the development of its cutting-edge technologies and collaborate with Juniper Networks on AI inference solutions for data centers. With hyperscalers, cloud providers, and enterprises clamoring for more efficient AI hardware, Recogni’s partnership with Juniper comes at a critical time, as the demand for faster and more sustainable AI systems continues to grow.
"Juniper's commitment to pushing the boundaries of networking aligns perfectly with Recogni's mission to make AI more economical and accessible," said Marc Bolitho, CEO of Recogni. "We are collaborating on a solution that will allow the world's largest models to run at unprecedented speed, accuracy, and efficiency—drastically lowering total cost of ownership for our customers." This vision is embodied in Recogni’s revolutionary Pareto system—a first-of-its-kind logarithmic number system that transforms traditional multiplication operations into addition, drastically improving power efficiency without sacrificing accuracy.
