Outspeed
Last Updated on: Nov 28, 2025
Outspeed
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AI Voice Assistants
AI Agents
AI Developer Tools
AI Assistant
What is Outspeed?
Outspeed is a powerful platform and SDK for building and deploying real-time AI voice and video companions—complete with emotional intelligence and memory. It offers low-latency streaming APIs, multi-modal processing for voice and visuals, and infrastructure to scale intelligent agents event‑driven at $1/hr billing. Ideal for deploying voice AI assistants that feel human and responsive in real time.
Who can use Outspeed & how?
  • AI Developers & ML Engineers: Build real-time voice/video apps using Python, TypeScript, Swift SDKs, and deploy seamlessly via Outspeed’s platform.
  • Startups & Enterprise Teams: Integrate emotion-aware voice assistants or video agents into products with scalable API infrastructure.
  • Voice-Tech Innovators: Create AI companions with persistent “memory” profiles and real-time audio analytics.
  • R&D and Edge AI Architects: Connect low-latency pipelines for streaming audio/video with emotion recognition and adaptive AI pipelines.

⚙️ How to Use Outspeed?

  • Install the SDK: pip install outspeed[silero] or use TypeScript/Swift clients
  • Build your Agent: Use familiar PyTorch-style APIs to process streaming audio/video, integrate emotion or model pipelines.
  • Deploy Easily: Deploy with outspeed deploy for scalable, cloud-executed agents that operate in real time at $1/hr.
  • Scale & Integrate: Run unlimited instances, connect to custom models, and pipeline across voice/video channels.
  • Stay Updated: Explore their blog for the latest on open-source speech-to-speech, emotion detection, and more.
What's so unique or special about Outspeed?
  • Real Time, Emotion Aware AI: Processes multi-modal streams with low latency for reactive audio/video agents.
  • Familiar Developer Experience: PyTorch-style, intuitive SDKs across Python, JS, and Swift.
  • Memory & Companionship: Build AI companions that recall past interactions and personalize responses.
  • Cost Effective Scaling: Runs continuously at a predictable rate ($1/hr) with infrastructure optimized for real-time use.
  • Community & Open Source: Backed by open-source tools and a modern developer toolkit for rapid prototyping.
Things We Like
  • Seamless support for streaming audio/video with low latency.
  • Emotion and memory enrich real-time assistant experiences.
  • Simple deployment commands and cost-effective pricing.
Things We Don't Like
  • Still early-stage: documentation and tooling may evolve rapidly.
  • Heavy compute required for real-time audio/video pipelines.
  • Smaller team and nascent community may mean fewer third-party examples.
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Popular Mention

FAQs

Native SDKs for Python, JavaScript/TypeScript, and Swift to build Agora-style audio/video pipelines.
Approximately $1/hour for compute and scaling; flexible for prototypes and production.
Yes—the platform supports emotion-aware streams to deliver nuanced assistant responses.
The SDK is open-source on GitHub; the core runtime is proprietary cloud infrastructure.
Early adopters and open-source builders in Bay Area voice AI, including demos showcased at NEC events.

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