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Neural Defend
NeuroCallBeta

Detect cloned voices and AI callers during live customer calls.

A Beta product that analyzes authorized call streams in selected live calls, surfaces possible synthetic or cloned-voice indicators, and routes an authenticity signal into the workflow your team controls.

Live voice analysisAgent-visible signalsCustomer-controlled response

Built for contact centers

Protect the calls where a voice can move money or access.

  • Contact centers
  • Banks and fintech support
  • Fraud and risk teams
  • Account recovery teams

Customer authentication

Add a voice-authenticity signal before an agent relies on the caller’s identity claim.

Account recovery

Route possible cloned-voice or AI-caller indicators into the recovery team’s existing checks.

High-value account actions

Place an additional signal before payment, profile, access, or ownership changes continue.

AI-caller routing

Send possible AI-caller indicators to the queue or review process you choose.

In the agent's path

The signal reaches the agent. Your policy decides the response.

Agent intervention workspaceSample call · Caller 017
Fictional sample data
Current interaction
Caller connectedAccount service queue
Requested action
Account recovery
Current state
Agent review
NeuroCall signal deskElevated signal · review
Cloned-voice indicatorsPossible indicators surfaced for reviewReview
Possible AI-caller indicatorsSignal attached to the live interactionReview
Alert routingFraud workflow received the elevated signalRouted
NeuroCall supplies a signalCustomer policy and agents control the response

How NeuroCall works

From live call to reviewed result in four steps.

Step 1

Connect call stream

Send an authorized live audio stream and call context through a vendor-neutral connection.

Step 2

Analyze voice in real time

Inspect the live voice channel for possible synthetic-speech and cloned-voice indicators.

Step 3

Alert agent or fraud workflow

Route an elevated signal to the customer-controlled response path for the call.

Step 4

Review call result

Make the signal, routing event, and response available for authorized review.

SDK-first integration

One API.
Every stack.

Connect call streams through vendor-neutral interfaces, or use native mobile SDKs, backend SDKs, REST and MCP to bring the signal into your own tools.

Sign in for API access
$ npm install @neuraldefend/sdk

import { NeuroVerifyClient } from "@neuraldefend/sdk"
const result = await new NeuroVerifyClient().detectImage("selfie.jpg")

Mobile SDKs

Native capture apps
  • KAndroid (Kotlin)
  • SiOS (Swift)
  • FFlutter

Backend SDKs

Server-side checks
  • PyPython
  • TSTypeScript / Node.js
  • GoGo
  • JJava

REST API

For everything else

Already have capture? Send the image to POST /detect/image and get every signal back in one JSON response.

AI agents

MCP server

Give approved AI assistants bounded image and video authenticity tools, with API keys kept outside prompts.

Two lines to integrate<200 ms p95Live in under 24 hours

Deployment options

Keep call audio inside the boundary you control.

Managed cloud

A managed service connected to approved call-stream and alert interfaces.

Best for: Speed to production

Private cloud / VPC

A dedicated environment for live-call analysis and response.

Best for: Regulated contact centers

Secure container

A portable runtime inside your approved environment.

Best for: Portable private setups

On-premises

Runs inside your own call infrastructure and operating controls.

Best for: Strict local processing

Air-gapped

For protected call workflows in a disconnected environment.

Best for: Sensitive environments

Start with NeuroCall

Add an authenticity signal before sensitive call actions.