Enterprise Infrastructure
The World's Best
AI Voice Bot Stack
for Enterprise.
A production-ready voice bot infrastructure—fully integrated with ASR, NLU, and Neural TTS—deployed entirely on your cloud or on-premise for maximum sovereignty.
Stack Architecture
Five Layers.
One Unified Stack.
Every layer is purpose-built for enterprise voice — and runs exclusively on your designated infrastructure. No shared compute with other tenants. Ever.
Every layer deploys on your AWS, Azure, GCP, or on-premise. Zero shared compute with any other customer.
No call audio, transcripts, or model weights ever leave your network perimeter. Full data sovereignty guaranteed.
Optimised colocation on your infra ensures consistent low-latency voice response — indistinguishable from a human.
Plug in LLaMA 3, Mistral, Falcon, or your own fine-tuned models. No dependency on any external API at runtime.
Ownership Model
AI Stack as a Service —
On Your Terms
Pravakta's deployment model is fundamentally different from every other voice AI platform. We set it up on your infrastructure, hand over full control, and you own it permanently.
We Deploy on Your Cloud
Pravakta engineers provision the full stack on your AWS, Azure, GCP, or bare metal. Every container and model is on your account.
Models Trained in Your Environment
Fine-tuning and training happens inside your perimeter. Resulting model weights are yours — Pravakta holds no copy.
Full Admin Control Transferred
Your team gets full admin access to the management console. Activate agents, update prompts, roll back versions — no ticket needed.
Operate Independently Post Go-Live
The stack runs without any runtime connection to Pravakta. You can engage us for managed services — the choice is entirely yours.
Technical Specifications
Stack Specification Sheet
| End-to-end Latency | <200ms (ASR + NLU + LLM + TTS combined, P95) |
| ASR Accuracy | >97% Word Error Rate across all supported languages |
| Languages Supported | 40+ incl. 22 Indian languages: Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Odia, Punjabi... |
| Concurrent Calls | Unlimited — scales horizontally on your infrastructure |
| Deployment Targets | AWS, Azure, GCP, On-premise (Kubernetes / Docker) |
| LLM Compatibility | LLaMA 3, Mistral, Falcon, GPT-4 (self-hosted), custom fine-tuned models |
| TTS Voice Personas | 80+ neural voice personas; custom brand voice cloning available |
| Uptime SLA | 99.9% (Enterprise Scale) · 99.95% (Sovereign tier) |
| Channel Support | WebRTC, SIP/PSTN, QR-initiated WebRTC, REST API |
| Security Standards | GDPR, DPDP Act, HIPAA, SOC 2 Type II, ISO 27001, TLS 1.3+ |
| CRM Integrations | Salesforce, SAP, Oracle, HubSpot, Freshdesk, Zendesk, ServiceNow, REST API |
| Data Residency | Fully customer-controlled. Zero data egress to Pravakta. Ever. |
| Deployment Timeline | 4 weeks from contract signature to first live call |
Get Started
Ready to Deploy Your
AI Voice Stack?
Talk to a solutions architect and get a custom infrastructure sizing and deployment plan for your enterprise.
Stack deployment in 4 weeks · No credit card required · Enterprise trial available
Technical FAQ
Pravakta AI Voice Stack can be deployed on AWS, Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud. We also support fully on-premise deployments using Kubernetes or Docker on bare metal infrastructure.
Yes, our 'Bring Your Own LLM' (BYO-LLM) architecture allows you to integrate any Large Language Model. We natively support Llama 3, Mistral, Falcon, and Gemini, and can integrate any fine-tuned model that exposes a standard API.
Pravakta achieves a sub-200ms end-to-end latency (P95) for voice response. This includes ASR, NLU processing, LLM inference, and Neural TTS generation. Colocating the stack on your infrastructure further minimizes network-related delay.
Yes, Pravakta supports high-density SIP trunking and is fully compatible with existing telephony infrastructure including DID, toll-free numbers, Avaya, Cisco, Genesys, and AWS Connect.