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VInfer AI is a voice-native intelligence platform built for contact centers and high-volume customer engagement teams. It brings together Neuron — an agentic AI stack for automating inbound and outbound calls — and NeuronLens — a post-call analytics engine that turns every conversation into structured insight. Together, they let your teams move faster, stay compliant, and measure what actually matters.

Quick Start

Set up your first AI voice campaign or analytics pipeline in minutes

Platform Overview

Understand how Neuron and NeuronLens work together

Neuron — Voice Agents

Automate outbound and inbound calls with natural, multilingual AI agents

NeuronLens — Analytics

Transcribe, score, and analyze every call for quality and compliance

API Reference

Integrate VInfer into your CRM, dialer, or contact-center stack

Use Cases

See how BFSI, logistics, EdTech, and healthcare teams use VInfer

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How It Works

1

Connect your dialer or CRM

Link VInfer to your existing contact-center stack via API or one of our native integrations — no rip-and-replace required.
2

Configure your voice agent or analytics flow

Set up a Neuron agent with your scripts and language preferences, or point NeuronLens at your call recordings for automatic transcription and scoring.
3

Launch campaigns or monitor live calls

Run outbound campaigns at scale, handle inbound queues automatically, and watch performance metrics update in real time on your supervisor dashboard.
4

Act on structured insights

Use NeuronLens QA scores, sentiment signals, and compliance flags to coach agents, refine scripts, and close more deals.

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The VInfer Platform

Neuron

Agentic AI stack for outbound and inbound call automation. Handles natural conversation in Hindi, Tamil, Telugu, Marathi, and 20+ more languages — with automatic dispositions and CRM logging.

NeuronLens

Post-call intelligence for every conversation. Automated transcription, smart summaries, QA scoring, compliance checks, and searchable call history at scale.
VInfer is designed for India’s most call-heavy industries — BFSI, logistics, EdTech, and healthcare — with language models trained on real-world conversations, not text prompts.