Streamwise provides a low‑latency SDK that analyzes live audio streams in real time to detect profanity, hate speech, and other policy violations. Its drag‑and‑drop rule engine triggers actions such as instant mute, sound‑effect overlay, or webhook alerts and logs detailed metadata for compliance reporting. The solution integrates out‑of‑the‑box with platforms like Twitch, YouTube Live and OBS Studio without requiring code changes.
Funding
Funding not disclosed
Founders
Product
Problem
Live audio streams are vulnerable to the instantaneous broadcast of profanity, hate speech, and other harmful content, exposing platforms to legal liability and driving user churn. Existing moderation solutions are largely reactive, requiring post‑hoc review or manual intervention that cannot keep pace with real‑time audio delivery.
Solution
Streamwise delivers a real‑time voice intervention layer that analyzes live audio streams at the speed of sound and automatically enforces moderation policies before the content reaches listeners. A lightweight, web‑standard SDK ingests the audio feed, applies low‑latency neural classifiers, and produces confidence scores for detected violations. Users define custom rule sets through a visual logic dashboard, chaining detectors and actions such as auto‑muting, sound‑effect insertion, or webhook alerts. Every intervention is logged with rich metadata, enabling full auditability and compliance reporting. The solution integrates out‑of‑the‑box with major streaming platforms (e.g., Twitch, YouTube) and broadcast tools like OBS Studio, requiring no code changes for existing workflows.
Target Audience
Primary customers are live‑streaming platforms, podcast networks, virtual classroom providers, and enterprise communication services that need automated, auditable audio moderation at scale.
Features
- Low‑latency deep‑learning audio classifier with per‑utterance confidence scoring
- Drag‑and‑drop rule engine for building conditional pipelines (detectors → actions) without programming
- Automated actions including instant mute, custom sound‑effect overlay, and programmable webhook notifications
- Web‑standard Node.js SDK (@streamwise/core) that streams audio frames and returns cleaned audio in real time
- Pre‑built connectors for Twitch, YouTube Live, OBS Studio, and other RTMP/RTSP sources
- Full explainability layer that records trigger metadata (timestamp, rule ID, confidence, source) for compliance audits
- Multi‑domain support covering entertainment, podcasts, virtual classrooms, enterprise audio rooms, and defense communications
- Cloud‑hosted dashboard with real‑time monitoring, rule management, and analytics visualizations