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🤖Modulate Secures $25M for Voice AI Platform

Voice AI Gets $25M to Detect Deepfakes and Scams

TL;DR

Modulate, a voice AI startup, has raised $25M to enhance its platform for transcription, emotional analysis, and deepfake detection. The funding aims to improve voice agent compliance in regulated industries.

Modulate, a Boston-based voice intelligence startup, has raised $25 million in funding to bolster its platform for transcription, emotional analysis, deepfake detection, and AI music detection. This move follows a trend in the voice AI industry, with investors backing companies aiming to make AI voices more human-like. The new funding, led by Future Ventures with Hyperplane and Lakestar participating, brings Modulate's total funding to $66 million. The company, founded in 2017 by two MIT physics undergrads, now focuses on detecting various types of AI audio generation and analyzing customer intent. With over 100 models and the ability to run on-premises or on-device, Modulate offers granular data to enterprises about customer intent and response, making it a critical tool for cybersecurity and compliance.

Modulate Secures $25M for Voice AI Platform — TechCrunch

Key Points

1

Modulate has raised $25 million in new funding, bringing its total to $66 million.

2

The funding round was led by Future Ventures, with Hyperplane and Lakestar participating.

3

Modulate's platform offers transcription, emotional analysis, deepfake detection, and AI music detection.

4

The startup runs over 100 models, categorized into signal extraction and analysis/detection models.

5

Modulate aims to add 10 more employees to bolster model building and on-premises/on-device deployment.

Why It Matters

Modulate's $25M funding bolsters its voice AI platform, offering transcription, emotional analysis, and deepfake detection. Enterprises using voice-based moderation tools will benefit from enhanced compliance and cybersecurity features. For instance, a company using Modulate's tech can now detect deepfakes and potential scams, ensuring customer calls are secure and compliant with regulatory rules.

voice-aideepfake-detectionemotional-analysiscompliancecybersecurity

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