Modulate

Modulate designs and builds prosocial voice intelligence, empowering platforms to transform voice interactions into safe, trustworthy experiences.
Our flagship product, ToxMod, is a proactive voice moderation system that goes beyond keyword scanning. Utilizing layered machine learning models—designed to detect emotional tone, speech patterns, conversational context, and intent—ToxMod identifies toxic behaviors as they occur. This nuanced approach allows moderators and trust-and-safety teams to intervene before harm escalates, not after, significantly reducing negative interactions in real time. As of October 2024, ToxMod has moderated over 160 million hours of voice data, resulting in more than 80 million moderator interventions that make online environments safer and more welcoming for users.
While gaming was our launchpad, ToxMod now extends its protection into gig economy and customer service platforms. With Confidential Connect, platforms can safeguard privacy by anonymizing phone interactions and surfacing actionable insights when harm or fraud is detected in voice communication.
Our modular model architecture—with specialized detectors for emotion, deception, harassment, phishing, and more—is both highly accurate and explainable. This allows for rapid adaptation: when collaborating with a gig platform in early 2024, we stood up a fraud-detection module within a month using the same system.
Beyond voice safety, Modulate empowers platforms with compliance support and community health strategies. Our tools drive insights for transparency reporting, code-of-conduct alignment, and evolving regulatory needs—like those shaped by AI policy, trust and safety frameworks, and user privacy laws.
In summary: Modulate transforms voice—from chat, phone, or AI agent—to an asset for trust, safety, and user well-being. We're building tools that don’t just respond to harm—they anticipate it. Whether it’s protecting gamers, customer-care agents, gig workers, or social communities, Modulate empowers platforms to safeguard human connection in the voice-first era.