Modulate

Modulate Raises $60M Total to Build Audio-Native AI Infrastructure

Modulate Raises $60M Total to Build Audio-Native AI Infrastructure

Modulate has raised $25 million to scale its Velma platform, which uses an ensemble of 100+ specialized models to understand voice conversations at the signal level, not just the transcript. The company is positioning audio intelligence as foundational infrastructure for voice AI applications across fraud detection, agent supervision, and customer experience. This note examines the architectural bet, the developer opportunity, and the competitive risks ahead.

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Modulate Tops Hugging Face ASR Benchmark | ECI Research

Modulate Tops Hugging Face ASR Benchmark | ECI Research

Modulate has claimed the top spot on Hugging Face’s Open ASR Leaderboard, ranking first out of 88 models while pricing its transcription API at a fraction of incumbent cost. ECI Research examines the architectural and economic implications for enterprise voice AI buyers and developers. The deeper story is whether Modulate’s audio-native Velma platform can move the market beyond transcript-only pipelines.

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Modulate Launches AI Music Detection API for Platforms at Scale

Modulate Launches AI Music Detection API for Platforms at Scale

Modulate has launched an AI Music Detection API that identifies AI-generated vocals and instrumentals directly from audio, without relying on uploader disclosure. Built on a three-model ensemble architecture, the API is designed for streaming platforms, distributors, and rights organizations that need to manage synthetic music at scale. The launch arrives as the music industry confronts the same AI governance gap that enterprise security teams are already racing to close.

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Modulate Velma API: Real-Time Voice Intelligence for Enterprise

Modulate Velma API: Real-Time Voice Intelligence for Enterprise

Modulate has launched the Velma Enterprise API publicly, giving developers access to real-time voice intelligence built on its Ensemble Listening Model architecture. The platform analyzes raw conversational audio for emotion, intent, behavioral risk, and compliance signals rather than relying on transcription. ECI Research sees AI agent oversight and compliance monitoring as the fastest-growing use cases for this emerging infrastructure category.

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