Bengaluru: CAMB.AI, a global leader in AI-powered multilingual voice translation and content localization, has announced a strategic partnership with Kompact AI by Ziroh Labs, a CPU-first AI platform that enables large language models (LLMs) to run efficiently on standard CPUs. The collaboration aims to democratize enterprise AI by combining CAMB.AI’s voice translation technology with Kompact AI’s runtime optimization, allowing deployment of advanced multilingual communication systems without traditional infrastructure barriers.
“Just as we’ve democratized multilingual communication by making voice translation accessible across 150+ languages, this partnership with Kompact AI democratizes access to powerful AI infrastructure. Enterprises no longer need to choose between performance and accessibility. They can now deploy our MARS7 and BOLI models on standard CPU infrastructure while achieving broadcast-quality results,” said Akshat Prakash, Co-Founder and CTO, CAMB.AI.
Hrishikesh Dewan, Co-Founder & CEO, Ziroh Labs, added, “We are excited to enter into a partnership with CAMB.AI. This strategic alliance will create unprecedented opportunities for enterprises to deploy sophisticated AI via Kompact AI without traditional barriers, another step towards facilitating accessibility in an effort to democratize AI. CAMB.AI has a proven track record of delivering broadcast-quality voice synthesis at scale and combined with our CPU-first optimization runtime, this promises to be a gamechanger when deploying multilingual AI models across industries from sports to education to healthcare.”
The partnership leverages Kompact AI’s CPU-first approach to reduce AI inferencing costs by 50% while maintaining full model quality, eliminating the dependency on expensive GPU infrastructure. CAMB.AI’s multilingual voice models, already trusted by brands including NASCAR, Major League Soccer, YES Network, Australian Open, FanCode, and Comcast NBCUniversal, can now be deployed on standard CPU hardware, enabling edge capability, real-time translation, and scalable AI solutions without infrastructure constraints.
This collaboration signifies a paradigm shift in enterprise AI deployment, merging voice AI innovation with CPU optimization to make advanced AI capabilities more accessible across industries globally.
