The Two-Product Architecture
At its core, VInfer AI separates real-time voice execution (Neuron) from post-call intelligence (NeuronLens). Both products share the same underlying voice-native AI engine and the same API surface, but they solve different problems in your workflow.The Technology Underneath
VInfer AI is not a text-based LLM with a speech wrapper bolted on. It is built from the ground up for voice.Voice-Native LLM
The core model is optimized for real-time spoken language — it reasons at the conversation level, tracking context, intent, and emotional state across an entire call, not just the last utterance.
Best-in-Class STT & TTS
Speech-to-text and text-to-speech layers are tuned for Indian telephony conditions — 8kHz audio, GSM compression, overlapping speech, background noise, and heavy regional accents.
Real-World Training Data
Models are trained and fine-tuned on real contact-center conversations across BFSI, logistics, EdTech, and healthcare domains — not generic web text or clean studio recordings.
Conversation-Level Reasoning
Every analysis and response is grounded in the full conversation context, not isolated turn-by-turn transcript analysis. This means the system understands intent that evolves over multiple exchanges.
Neuron — AI Voice Agents
Neuron deploys autonomous voice agents that carry end-to-end customer conversations, fully replacing or augmenting human agents for high-volume, repeatable call types.What Neuron Does
Outbound Campaign Automation
Launch collections, lead qualification, appointment reminders, and customer re-engagement campaigns. Each agent follows your business logic, handles objections in real time, and logs every outcome.
Inbound Call Handling
Answer and resolve inbound queries using context-aware conversation flows — no hold time, no IVR mazes. Customers get natural, responsive interactions from the first ring.
Multilingual Conversations
Agents converse naturally in the customer’s preferred language, including mid-call language switches, without any manual routing or language-detection delay.
Business-Logic Aware Flows
Flows are tuned to domain-specific scenarios: EMI collection, loan disbursement follow-up, student counselling, delivery reschedule, patient follow-up, and more — not generic chatbot templates.
Automatic Dispositions
Every call ends with a structured disposition logged automatically — payment committed, callback requested, wrong number, DND, escalation required — with no manual agent wrap-up.
CRM Logging
Call summaries, dispositions, customer responses, and extracted entities sync to your CRM in real time via REST API or native connector, keeping your records always current.
Human Fallback & Handover
When a call exceeds the agent’s configured scope or the customer explicitly requests a human, Neuron transfers the call cleanly and passes full conversation context to the receiving agent.
Supervisor Dashboard
Monitor live campaign progress, call outcomes, and agent performance from a real-time dashboard — drill into individual calls, pause campaigns, or adjust retry logic on the fly.
NeuronLens — Post-Call Intelligence
NeuronLens processes recorded conversations — from Neuron campaigns or your existing telephony stack — and transforms them into structured, searchable, and actionable intelligence.What NeuronLens Does
Automated Transcription
Generate accurate, speaker-separated transcripts for calls in any supported language or dialect, including calls with code-switching between languages.
Smart Call Summaries
Every call gets a concise, structured summary — key topics discussed, customer sentiment, commitments made, and next actions required — generated automatically, no manual review needed.
Sentiment & Intent Analysis
Understand how your customers felt and what they actually wanted — at the conversation level. Track sentiment shifts within a call and aggregate trends across campaigns or time periods.
QA Scoring
Score calls against custom quality parameters you define: greeting adherence, product pitch accuracy, empathy, objection handling, resolution rate, and more — consistently and at scale.
Compliance & Script Adherence
Automatically flag calls where mandatory disclosures were skipped, prohibited phrases were used, or regulatory scripts weren’t followed — before a compliance audit finds them.
Missed Revenue & Risk Flags
Surface calls where upsell opportunities were missed, customer churn signals appeared, or high-value leads weren’t escalated — so your team can act, not just report.
Agent Performance Coaching
Identify which agents need coaching on specific skills using consistent, data-driven scoring — not subjective spot-checks. Generate targeted feedback reports per agent or team.
Searchable Conversation History
Query your entire call archive by topic, outcome, agent, sentiment, language, date range, or any custom tag — instantly, at any scale, without listening to recordings.
How Neuron and NeuronLens Work Together
The most powerful use of VInfer AI comes from running both products in an integrated loop.Neuron Runs Campaigns
You configure a Neuron campaign — contacts, script, language, retry logic — and launch it. Neuron’s voice agents call each contact, carry natural conversations, and log outcomes in real time.
Calls Flow into NeuronLens
Every completed call from a Neuron campaign is automatically forwarded to NeuronLens for post-call processing. You don’t need to upload recordings manually or configure a separate pipeline.
NeuronLens Surfaces Insights
NeuronLens generates transcripts, summaries, QA scores, and compliance flags for each call. Aggregate dashboards show you how the campaign performed across all dimensions — language, sentiment, script adherence, and outcomes.
API-First Integration
Every capability in VInfer AI is exposed through a RESTful API and event-driven webhooks. You integrate VInfer AI with your existing stack — you don’t replace it.REST API
Launch campaigns, submit recordings, retrieve transcripts, pull QA scores, and manage configurations programmatically. Full OpenAPI spec available in the API Reference.
Webhooks
Subscribe to real-time events — call completed, disposition logged, transcription ready, QA score published — and push data directly into your CRM, data warehouse, or alerting system.
CRM Connectors
Native connectors for popular CRM and contact-center platforms, plus a generic webhook integration for custom systems. Map VInfer AI dispositions and summaries to your own data fields.
Dialer & Telephony Integration
Bring your own telephony infrastructure. VInfer AI integrates with SIP trunks, cloud dialers, and contact-center platforms — Neuron can operate on top of your existing number inventory.
Supported Languages and Dialects
VInfer AI supports 25+ languages and regional variants, with models trained specifically on contact-center audio for each.| Language | Code | Region |
|---|---|---|
| Hindi | hi-IN | Pan-India |
| Tamil | ta-IN | Tamil Nadu, Sri Lanka |
| Telugu | te-IN | Andhra Pradesh, Telangana |
| Marathi | mr-IN | Maharashtra |
| Kannada | kn-IN | Karnataka |
| Bengali | bn-IN | West Bengal, Bangladesh |
| Gujarati | gu-IN | Gujarat |
| Punjabi | pa-IN | Punjab |
| Malayalam | ml-IN | Kerala |
| Odia | or-IN | Odisha |
| English (India) | en-IN | Pan-India |
| English (US) | en-US | North America |
| English (UK) | en-GB | United Kingdom |
| Additional global languages | — | Available on request |
All Indian language models are trained to handle code-switching — for example, a Hindi conversation that naturally incorporates English financial terminology, or a Tamil call that includes English product names. You don’t need to configure language mixing explicitly; the platform detects and handles it automatically.
What’s Next
Quickstart Guide
Get your API key and make your first Neuron or NeuronLens API call in under five minutes.
API Reference
Explore every endpoint, authentication method, and response schema in the full API docs.