Svarank · Self-hosted AI voice agents
Svarank replaces press-1-press-2 menus with AI agents that callers simply speak to. It understands the caller, finds the right answer in your knowledge base, replies in natural speech and can act through your systems — all on infrastructure you control.
Why Svarank
Traditional IVR makes callers fit your menu. Svarank lets them say what they need — and keeps the AI, the knowledge and the conversations inside your organisation.
The caller works around the menu
The caller just says what they need
The real difference: your organisation keeps control of its AI models, knowledge base, voice processing and customer conversation data.
How it works
Every call runs through a speech-to-speech pipeline. Each stage runs inside your infrastructure instead of sending conversations to an external voice AI platform.
Calls arrive on your existing lines and trunks.
Call handling, SIP signalling and RTP audio streams.
Turns the caller's speech into text as they talk.
Understands intent, keeps context, retrieves knowledge and decides what to do.
Turns the response into natural-sounding speech.
Streams the generated audio back to the caller.
The loop continues, turn by turn, until the call ends.
Architecture
SIP integration, retrieval-augmented generation and compliance guardrails — how every call flows through Svarank.
SIP Gateway
← Info Retrieval
Contextual Response →
Call arrives through the SIP gateway
Technology stack
Svarank can use different speech-to-text, language and text-to-speech models without redesigning the platform — so you can adopt better models or cut inference costs as the field moves.
SIP, PRI and call routing
Real-time audio transfer
Detects speech and silence
Speech recognition
Reasoning and response generation
Local LLM inference
Enterprise knowledge retrieval
Speech generation
Orchestration and integrations
Self-hosted deployment
Performance and infrastructure monitoring
Self-hosted deployment
Svarank installs on your own GPU servers, inside your data centre or private cloud. There's no requirement to send conversation data to an external AI platform.
PRI · SIP trunk · PBX
No conversation data leaves your network
What you gain
Automate inbound and outbound calls without depending on a cloud voice AI provider.
Models, knowledge base, voice processing and call data stay on infrastructure you control.
Change the speech, language or voice model without redesigning the whole system.
Run on your own GPU servers and optimise as better, leaner models arrive.
Executes business operations through REST APIs into your CRM, ERP and other systems.
Where it fits
No. Speech-to-text, the language model and text-to-speech all run within your own infrastructure — on your GPU servers, in your data centre or private cloud.
Yes. Svarank's telephony layer is built on Asterisk and FreePBX and connects to your existing PRI, SIP trunk, PBX or VoIP setup.
Svarank is multilingual. Speech models — including Indic voice models — are chosen for the languages your callers actually use.
Yes. The platform is modular, so the speech-to-text, language and text-to-speech models can be replaced without redesigning the rest of the system.
Prometheus and Grafana track call quality, model latency, GPU usage, concurrency and failures, so your team sees how every part of the pipeline is doing.
