CAMB.AI & Kompact AI partner to unlock voice AI on CPUs

San Francisco and Bengaluru, December 10, 2025 — CAMB.AI, the global leader in AI-powered multilingual voice translation and content localization, today announced a strategic partnership with Kompact AI by Ziroh Labs, the pioneering CPU-first AI platform that enables large language models to run efficiently on server-grade CPUs without compromising performance. This collaboration marks a significant milestone in democratizing enterprise AI access.

The partnership represents more than a technical integration — it embodies a shared commitment to democratizing access to advanced AI capabilities. By combining proven voice synthesis technology with revolutionary CPU optimization, it enables organizations worldwide to deploy sophisticated multilingual communication systems without traditional infrastructure barriers.

From GPU Dependence to CPU Freedom

While the industry has been locked into expensive GPU infrastructure for AI workloads, Kompact AI's CPU-first approach delivers a 50% cost reduction in AI inferencing while maintaining full model quality, eliminating the need for quantization or distillation that traditionally compromises accuracy.

“Just as we've democratized multilingual communication by making voice translation accessible across 150+ languages, this partnership democratizes access to powerful AI infrastructure. Enterprises no longer need to choose between performance and accessibility — they can now deploy our MARS8 and BOLI models on standard CPU infrastructure while achieving broadcast-quality results,” said Akshat Prakash, Co-Founder and CTO of CAMB.AI.

“This strategic alliance will create unprecedented opportunities for enterprises to deploy sophisticated AI via Kompact AI without traditional barriers,” said Hrishikesh Dewan, Co-Founder & CEO at Ziroh Labs. “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.”

• Infrastructure democratization: deploy voice translation without costly GPU clusters or cloud GPUs.
• Edge capability: real-time multilingual translation on edge devices, even offline.
• Scalable simplicity: scale voice AI workloads linearly without rising infrastructure costs.