V
Vozz

Sales Intelligence
that Simply Works

Close More Deals and Shorten your Sales Cycle with Real-time sales coaching that understands context.

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boltLatency: 1.2s
P
Prospect • 14:02
"We're currently using legacy systems, but the implementation cost for a new solution seems prohibitive right now."
Y
You • Real-Time AI Cue Injected
"I understand budget is a primary concern..."
Objection Detectedradar
Suggested Response
"Our customers typically see a full ROI within 6 months due to reduced server overhead and 45-min saved per call. Would a quick ROI breakdown help?"
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Sentiment+18% Positive Shift
Context-Aware Sales Coaching

Not just another transcription tool.

Vozz goes beyond simple keyword matching. It understands the nuanced flow of your conversation, historical account data, and your specific sales playbook to deliver coaching that actually makes sense in the moment.

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Playbook Integration
Map your custom sales methodologies directly into the AI logic.
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CRM Context Sync
Pulls real-time data from Salesforce or HubSpot to inform suggestions.
Interconnected data nodes and learning engine

Engineered for perfect call execution.

Every feature is designed to reduce cognitive load and maximize closing potential during live interactions.

psychology

Objection Handling

Instantly surfacing battle cards and proven rebuttals the millisecond a competitor or pricing concern is mentioned.

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Live Discovery Prompts

Analyzes the conversation flow to suggest high-impact discovery questions you might have missed.

speed

1.2s Processing Latency

Powered by edge-optimized LLMs, ensuring advice arrives before there's an awkward pause on the line.

import { VozzEngine } from '@vozz/core';

const engine = new VozzEngine({
  latencyTarget: 1200, // ms
  contextWindow: 32000,
  vectorStore: 'pinecone'
});

engine.on('objection', (event) => {
  // Triggers in < 1.2s
  hud.displayCounter(event.rebuttal);
});
The Intelligence Engine

Built for speed.
Trained for context.

Under the hood, Vozz utilizes a proprietary hybrid architecture. We combine low-latency local processing for wake-word and acoustic analysis with high-parameter cloud models for deep contextual reasoning.

99.8%
Uptime SLA
< 1.2s
P95 Latency
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