Log inSign up
Modulate
730 posts
Modulate profile banner
@modulate_ai

Modulate

@modulate_ai
The voice intelligence company | MIT-alum founded. LLMs read text. We listen and understand: Try Velma 2.0.
Boston, MA
modulate.ai/velma
Joined August 2017
444
Following
1,580
Followers
RepliesRepliesRepostsRepostsMediaMedia

Log in or sign up for X

See what’s happening and join the conversation

Continue with phone
or
Log in with username or email
Terms·Privacy·Cookies·Accessibility·Ads Info·© 2026 X Corp.
  • Pinned
    @modulate_ai
    Modulate
    @modulate_ai
    Aug 12
    Still true: Modulate Transcribe is #1 out of 88 models on @huggingface Open ASR Leaderboard 🏅 Not our benchmark. Not our leaderboard. A public, third-party ranking anyone can check. If you're evaluating transcription APIs, that's the kind of proof that doesn't need a press
    Image
    3
  • @modulate_ai
    Modulate
    @modulate_ai
    4h
    We’re hiring a Senior Machine Learning Engineer at Modulate 🔊 Voice is one of the richest sources of information we have - and we’re building models that can actually understand it. This role will work across research and engineering to design, train, evaluate, and deploy ML
    Image
    2
  • @modulate_ai
    Modulate
    @modulate_ai
    Sep 3
    Clinical audiology transcription needs more than words on a page - it needs context. One G2 reviewer built an AI Scribe SaaS on Velma 2 for exactly that reason: ⭐ 5/5 "Accurate Transcriptions with Emotional Context at a Fantastic Price" Live diarization. Emotional context per
    Image
    3
  • @modulate_ai
    Modulate
    @modulate_ai
    Sep 2
    Speech-to-speech isn't the only way to build a natural-sounding AI voice agent. That's a common misconception 🚨 The argument for speech-to-speech is understandable: if an AI agent needs to respond naturally, it needs to understand more than *what* a person said. It also needs
    Image
    00:00
    1
  • @modulate_ai
    Modulate
    @modulate_ai
    Sep 1
    Bans feel decisive. They're not always effective 👀 @schellgames proved it with Among Us 3D: after redesigning enforcement around ToxMod's real-time voice detection, they cut player disruption by 97.5% - and got better results than banning ever did. A single warning stopped
    Image
Advertisement
Advertisement