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Key takeaways

• Modulate announced a $25 million financing round.

• Future Ventures led the round, with Hyperplane and Lakestar participating.

• The company says total funding now stands at $60 million.

• Proceeds will support research, product, engineering, developer relations, APIs, models, and deployment options.

• The announcement includes company-reported performance claims and benchmark results.

Modulate secures new funding

Modulate announced on September 28, 2026, that it raised $25 million in new funding. Future Ventures led the round, and Hyperplane and Lakestar also participated. The company said the financing brings its total funding to $60 million.

This is a financing announcement, not a product launch. The company also said the proceeds will support research, product and engineering work, developer relations, APIs, models, and deployment options. The announcement does not name any new investor beyond those listed.

What Modulate says it builds

Modulate focuses on audio-native AI systems that analyze vocal signals beyond a transcript. It describes its Velma platform as using an Ensemble Listening Model architecture. The company says this architecture combines more than 100 specialized models.

According to the company, those models assess signals such as emotion, tone, intent, synthetic speech, and conversational behavior. Modulate says these outputs can support fraud detection, voice-agent supervision, customer experience, and trust and safety. These are company-described use cases, not independently verified outcomes in the source.

Company-reported scale and benchmark claims

Modulate says its models analyze more than 10 million hours of audio per month. It also says they have processed over 600 million hours in total. These figures come from the company's release and should be attributed to Modulate.

The announcement also says the company holds top positions on Hugging Face public benchmarks for transcription and deepfake speech detection. Modulate further claims its deepfake speech detection technology reached 98.9% accuracy on public benchmark data. The source explicitly notes that these figures and performance characterizations come from the company's release and are not independently verified in the material provided.

Product direction and operational focus

The announcement discusses current and planned product development. Modulate says it wants to expand developer tools and partnerships. It also points to continued work on APIs, models, and deployment options.

The source does not disclose a new model release. It also does not identify a new investor beyond the participants named in the round. Readers should separate the funding plans from any completed deployments or independently demonstrated effects.

Why this matters

The announcement shows continued investor interest in audio-native AI. It also highlights a product strategy built around vocal signals, not just transcripts. That distinction matters because Modulate frames its system as analyzing tone, intent, emotion, and synthetic speech.

The company's release also emphasizes benchmark performance and scale. Those claims may help explain the financing, but they remain company-reported in the source. Any evaluation should keep the funding news separate from the performance claims.

Morocco relevance

The source reports no Morocco-specific customers, availability, or local deployment. For readers, the global lesson is simple: financing news can signal product momentum, but it does not confirm local access or adoption.

Source note

This article is based only on the supplied source material. It avoids adding external facts and treats all performance claims as company-reported.