Fluent.ai

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Fluent.ai revolutionizes voice AI for embedded devices with patented speech-to-intent technology, mapping speech directly to actions without speech-to-text or cloud dependency. It excels in noisy environments across any language or accent, running on ultra-low-power hardware ideal for smart home devices, wearables, hearables, IIoT, and robotics. This offline, private-by-design solution delivers low latency, minimal footprint, and faster time-to-market, enhancing user experiences where traditional cloud-based systems fall short.

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CategoryVoice Generation & Conversion
Fluent.ai

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Description

Fluent.ai revolutionizes voice AI for embedded devices with patented speech-to-intent technology, mapping speech directly to actions without speech-to-text or cloud dependency. It excels in noisy environments across any language or accent, running on ultra-low-power hardware ideal for smart home devices, wearables, hearables, IIoT, and robotics. This offline, private-by-design solution delivers low latency, minimal footprint, and faster time-to-market, enhancing user experiences where traditional cloud-based systems fall short.

Key capabilities

  • Patented speech-to-intent technology that maps speech directly to actions without speech-to-text or cloud dependency
  • Supports any language, accent, and performs in noisy environments on low-power devices

Core use cases

  1. 1.On-device wake-word spotting for custom branded voice assistants
  2. 2.Offline automatic intent recognition for voice-to-action control
  3. 3.Voice enabling resource-constrained devices like wearables and smart home gadgets

Is Fluent.ai Right for You?

Best for

  • Manufacturers of smart home devices, wearables, hearables, IIoT, robotics for offline, noise-robust voice control with low resource requirements

Not ideal for

  • Applications requiring cloud-based scalable speech-to-text or high-complexity NLP

Standout features

  • Wakeword: ~60KB RAM, 301KB Flash, ~47MHz CPU on Arm Cortex-M4
  • Air: supports up to 1000 commands with ~99KB RAM, 992KB Flash on low-power MCUs
  • Fully offline and private-by-design
  • Multiple languages in a single SKU
  • Low latency, highly accurate, noise robust

User Feedback Highlights

Most Praised

  • Low latency, small footprint, low power consumption ideal for embedded devices
  • Custom branded wake words enhance brand recognition
  • Fully offline and private-by-design with multilingual support in single SKU