We just raised $25M in new funding led by Future Ventures (@VenturesVc), with @HyperplaneVC and @lakestarvc - bringing Modulate’s total funding to $60 million.
Building the next phase of audio-native AI: more models, more developers, more of the stack that actually understands voice.
Where we stand today:
- Ranked #1 on Hugging Face for deepfake detection and transcription
- 600M+ hours of audio analyzed
- 10M+ hours analyzed every month
A foundational layer of the AI stack is getting more powerful. More soon.
Founders get told to ignore the doubters. So do early employees.
Our co-founder Mike: on knowing when to trust your gut vs. when the "obvious" advice is actually right.
We're looking for people who can tell the difference 🧠 : https://t.co/z0RfX3hT7D
#hiring
What does a small IT services team actually need from a speech-to-text API?
Speed. Accuracy. A price that doesn't eat the margin.
One G2 reviewer found all three with Modulate Transcribe:
⭐ 5/5 "Modern, Cost-Efficient STT with a Standout Feature Set"
They are now using it to power AI voice chat for their own clients - at a price point that lets them deliver more value downstream.
Start building with our API today 👇
Last week, we joined the developer community at @WeAreDevs in San Jose 🙌
Great conversations, new connections, and plenty of discussions around what’s next for AI, voice, and the developer ecosystem.
"A lot of people assumed we were on our way to being acquired. That's never been the mission."
@modulate_ai, Co-founder Mike Pappas on why the company was built to go the distance - not to get bought.
👇
شركة @modulate_ai الأمريكية تجمع 25 مليون دولار لتطوير تقنيات ذكاء اصطناعي تكشف الأصوات الاصطناعية والتزييف العميق في المكالمات.
تخطط الشركة لاستخدام التمويل في تعزيز قدرتها على مواجهة الاحتيال الصوتي ودعم قواعد الامتثال في القطاعات المنظمة.
https://t.co/D7CSR4HtwL
@ajs6888@VenturesVc@HyperplaneVC@lakestarvc It sure can. Velma can pick up 20+ emptions straight from the audio - no transcription needed. Test it on your own audio. Free api credits for you here: https://t.co/ufjqkMcMPW
We just raised $25M in new funding led by Future Ventures (@VenturesVc), with @HyperplaneVC and @lakestarvc - bringing Modulate’s total funding to $60 million.
Building the next phase of audio-native AI: more models, more developers, more of the stack that actually understands voice.
Where we stand today:
- Ranked #1 on Hugging Face for deepfake detection and transcription
- 600M+ hours of audio analyzed
- 10M+ hours analyzed every month
A foundational layer of the AI stack is getting more powerful. More soon.
Building voice intelligence that understands what’s happening beyond the transcript.
Excited to have Future Ventures, Hyperplane, and Lakestar backing us as we build what’s next 🚀
Winnowing nuance from noise
Modulate runs over 100 voice-native models to discern emotion, tone, intent, and language, and detect synthetic and deepfake voices (ranked #1 on 🤗).
We just led their seed round; news today: https://t.co/A2N3eAYnep
Product: https://t.co/uo10eqA9jm
Most fraud tools are reading the wrong thing. 👀
They monitor transactions. They flag metadata. They analyze the transcript after the call ends.
All useful, BUT none of it catches fraud while it's happening, because the tells aren't in the words. They're in the voice.
Here's what a transcript misses on every fraud call:
1️⃣ Scripted or rehearsed speech patterns
2️⃣ Emotional incongruence - calm under pressure, urgency without stress
3️⃣ Hesitation, contradictions, and recall gaps
4️⃣ Voice mismatch against the account holder
5️⃣ Synthetic or AI-generated voice indicators
Modulate's Velma is built to catch all five live: flagging deceptive intent to your agents before the call completes, not after the damage is done.
Account takeover fraud cost US adults $15.6B in 2024, up 23% year over year. 📈
And Velma's deepfake detector generates fewer than half the errors of the next-best model on @huggingface independent leaderboard.
Stop reading the transcript. Start listening to the call: https://t.co/PZt1FyfNCl
What does it take to make voice AI actually understand human speech?
Join Modulate CEO @whuffman and @jeffpulver for a 25-minute conversation on:
→ How Modulate evolved from gaming + trust & safety into Voice AI
→ Why understanding voice goes beyond transcription
→ AI agents, fraud & deepfake detection
→ The future of voice infrastructure
→ What VCON could mean for the communications industry
Tune in here: https://t.co/ZTju4JQ0vy
Five people. A redeye flight. And a moment that made it real. ✨
@mpappas74, Co-founder of Modulate, shares one of the company's most memorable early moments:
Early on, Mike and @whuffman flew from Boston to San Francisco and back in a single day to meet prospective customers - landing home on a redeye at 9am, exhausted, but founders don't get to clock out. They trudged into the office anyway.
And when they opened the door, their first employees were already at the whiteboard, deep in an animated discussion, solving problems on their own.
That was the moment it stopped being just the two of them - and started being a team, a company, something bigger than its founders.
Today, this team is expanding. We're hiring for multiple roles: https://t.co/1c2Lrw8Dhg
#hiring