Question 1

How does on-premise voice AI differ from cloud-based solutions like Google Speech or AWS Transcribe?

Accepted Answer

Our voice AI runs entirely on your GPU hardware — no audio data leaves your premises. Cloud solutions send every audio frame to external servers for processing. On-premise means lower latency (sub-200ms vs 300-500ms for cloud), zero per-minute costs, full data sovereignty, and the ability to work in air-gapped environments.

Question 2

What languages are supported for voice?

Accepted Answer

100+ languages and regional accents. For Indian languages, we support native-quality voice for Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Odia — with accent-appropriate ASR and TTS models.

Question 3

Can you replace our existing IVR system?

Accepted Answer

Yes. Our voice agents integrate with SIP/VoIP infrastructure and serve as a drop-in replacement for legacy IVR trees. Instead of press-1-for-sales menus, callers speak naturally and the AI agent routes, answers, or escalates based on intent understanding.

Question 4

How is this different from BiltIQ Voice?

Accepted Answer

BiltIQ Voice is a ready-to-deploy product with standard voice agent configurations — deploys in 3–5 days. This service is for organizations needing custom voice personas, domain-specific ASR/TTS fine-tuning, integration with proprietary telephony infrastructure, or video intelligence pipelines. If the product fits, use the product.

Question 5

What GPU hardware do I need for real-time voice processing?

Accepted Answer

For basic ASR + TTS with sub-200ms latency, a single NVIDIA RTX 4090 handles 50–100 concurrent calls. Enterprise-scale deployments use A100 GPUs for 1000+ concurrent calls. We specify the exact hardware during our technical assessment based on your call volume and language requirements.

Agents That Hear,
Speak, and See.

Hear Your Voice Agent

Agents That Hear,Speak, and See.

Hear Your Voice Agent

Agents That Hear,
Speak, and See.