
Modulate raises $25M for its voice models and analysis suite
Boston-based voice intelligence startup Modulate has raised $25 in new funding for its platform that uses an array of small models to offer enterprises transcription, emotional analysis, deepfake and AI music detection, and policy enforcement for voice agents in regulated industries. The funding follows a popular trend among investors in the growing voice AI industry: backing companies that are trying to make AI voices sound more human. It also rivals other companies trying to detect the intent behind human conversation by analyzing it, and those trying to protect people and companies from deepfake calls, as it is now easy to clone voices.
- ▪Boston-based voice intelligence startup Modulate has raised $25 in new funding for its platform that uses an array of small models to offer enterprises transcription, emotional analysis, deepfake and AI music detection, and policy enforceme
- ▪The funding follows a popular trend among investors in the growing voice AI industry: backing companies that are trying to make AI voices sound more human.
- ▪It also rivals other companies trying to detect the intent behind human conversation by analyzing it, and those trying to protect people and companies from deepfake calls, as it is now easy to clone voices.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/28/modulate-raises-25m-for-its-voice-models-and-analysis-suite/ |
| Publication time | Mon, 28 Sep 2026 14:05:00 +0000 |
| Retrieval time | 2026-09-28T15:43:41.789Z |
| Last seen | 2026-09-28T15:43:41.789Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | bLxFl7KOv4RD · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Boston-based voice intelligence startup Modulate has raised $25 in new funding for its platform that uses an array of small models to offer enterprises transcription, emotional analysis, deepfake and AI music detection, and policy enforcement for voice agents in regulated industries. The funding follows a popular trend among investors in the growing voice AI industry: backing companies that are trying to make AI voices sound more human. It also rivals other companies trying to detect the intent behind human conversation by analyzing it, and those trying to protect people and companies from deepfake calls, as it is now easy to clone voices. Modulate’s new funding was led by Future Ventures with participation from Hyperplane and Lakestar.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.