# VoxSmart

VoxSmart is an other based in London, United Kingdom.

## Overview

- **Organization type:** other
- **Headquarters:** London, United Kingdom
- **Region:** Europe
- **Address:** London, United Kingdom
- **Assets under management:** Undisclosed
- **Website:** voxsmart.com
- **LinkedIn:** https://www.linkedin.com/company/voxsmart

## Regulatory record

- **Reports private funds:** No

## About

The world's most agile capture, monitoring and analytics for business communications data.

## Sectors

- FinTech
- AI/ML
- Enterprise Software

## Questions

### What products does VoxSmart offer?

VoxSmart's flagship product is VX1, an intelligent compliance ecosystem that offers mobile capture, communication surveillance, and trade reconstruction modules. The company also sells Scribe 2.0, a speech-to-text engine tailored for financial markets, and an NLP layer called Data Insights that extracts quotes, price information, and intent from conversations (per the firm's website, 2025).

### Which industries does VoxSmart serve?

VoxSmart primarily serves financial institutions, including trading floors, inter-dealer brokers, and asset managers. The company's solutions address regulatory requirements for communication recording, surveillance, and trade reconstruction in capital markets (per the firm's website, 2025).

### Does VoxSmart manage capital or make investments?

No. VoxSmart is a financial technology (regtech) company that sells software products. It does not operate as an asset manager, family office, or investment firm. No AUM, deployment figures, or investment activities are associated with the company.

### How does VoxSmart's Scribe 2.0 differ from other speech-to-text engines?

VoxSmart claims Scribe 2.0 is built specifically for financial markets, trained on capital markets vocabulary and designed to recognize quotes, price information, and intent in trading-floor conversations (per the firm's website, 2025). The company contrasts it with previous automatic speech recognition (ASR) systems that struggled with high error rates and opaque language models.

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Last updated: 2026-06-03T20:00:00.000Z

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