MARS7 Voice AI Now Available for VPC on Google Cloud Vertex AI

At CAMB.AI, we build voice AI that sounds so natural, so emotionally real, that audiences forget they're listening to a machine. Our flagship model, MARS7, is a multilingual text-to-speech (TTS) system built for the world's most demanding environments — from live sports and global media to customer engagement and mission-critical communications. With support for 150+ languages, voice cloning, and fine-grained emotional control, MARS7 is setting a new benchmark for what “AI voice” truly means.

Just weeks ago, MARS7 powered a historic NASCAR Xfinity Series broadcast, delivering real-time multilingual commentary to millions of racing fans — English from human commentators, Spanish entirely from AI, live and in sync. Today, we're proud to announce that the same model, starting with 10 languages and locales, is available to run directly in your environment through Google Cloud Vertex AI Model Garden.

Why Enterprises Trust MARS7

MARS7 is a broadcast-quality voice AI trusted where failure isn't an option. Despite its robustness and expressive performance, it's remarkably lightweight: a ~80-million-parameter Megabyte encoder-decoder architecture designed to capture human-like prosody and range. The result: voices that connect emotionally, global multilingual reach with authentic accents and locales, and flexibility through voice cloning and fine-grained emotional tuning.

“Enterprise customers demanded broadcast-quality voice AI they could deploy in their own environment. MARS7 on Vertex AI delivers exactly that — the same technology powering the world's biggest sports and media brands, now running entirely within your VPC,” said Akshat Prakash, Cofounder and CTO of CAMB.AI.

Speed That Changes Everything

In voice AI, speed is as critical as quality. The key measure is Time to First Byte (TTFB) — the delay between sending text and receiving the first sound. Most providers only publish model-processing time, but request travel, queue wait on shared GPU pools, and audio return add hundreds of milliseconds, so an advertised 150ms TTFB often feels like 800ms-2s. MARS7 on Vertex AI eliminates those hidden delays by deploying close to users across Google Cloud's 40+ regions, on dedicated GPUs with no queueing, with a choice of A100, H100, L4, L40S and more.

A Pricing Model That Finally Makes Sense

Traditional TTS pricing is built on tokens, characters, or credits — unpredictable bills that rise linearly with usage. With MARS7 on Vertex AI the economics flip: you provision GPUs the same way you provision any workload, and CAMB.AI charges a fixed % of GPU consumption per hour. Since capacity is pre-allocated, spend is nearly flat regardless of how many characters you generate — unlimited inference, predictable budgets, and scale without penalty.

Your Environment, Your Control

With VPC deployment, MARS7 runs entirely within your own cloud environment: complete data sovereignty (text never leaves your VPC), single-tenant security with dedicated GPU resources, and compliance alignment under your existing frameworks (HIPAA, GDPR, FedRAMP) — enterprise-grade voice AI without compromise.