Core

World’s first direct Speech to Intent understanding system: faster, more flexible and more accurate voice understanding than conventional technologies.

Offer your users the ability to interact with their devices even without an active internet connection. Natural voice interaction in a user’s native language is driven by Fluent.ai’s ability to understand any language or combination of languages. Users can have peace of mind knowing that their private data is not leaving the device.
Enable unique user interaction on wearable devices with Fluent.ai’s low memory and processing requirements. State of the art machine learning algorithms provide high accuracy in any language or accent, and even with kids’ voices and outdoor noisy environments.
High-noise environments in factories pose challenges that limit the performance and reliability of conventional speech understanding technologies. Fluent.ai technology enables robust, high accuracy speech understanding controls and solutions for noisy factory environments.

Wearables

Smart Speakers

Smart Home Devices

Voice Remotes

Fluent.ai Core offers OEMs and device manufacturers our on-device speech-to-intent technology for developing voice user interfaces. Our patented speech-to-intent technology directly understands a person’s speech without converting it to text first. This groundbreaking approach results in a faster, lighter, more accurate and robust speech understanding system than conventional technologies. Furthermore, it enables previously infeasible use cases and user interaction scenarios such as recognizing multiple languages concurrently and learning from users’ preferences and feedback.

Minimum Device Requirements*

Solution

Fluent.ai Core for MCPUs and DSPs
Multi-WakeWord + Voice Control Engine
  • Vocabulary Size
  • RAM
  • Storage
  • Latency
  • Minimum Frequency
  • Recommended Platforms
  • Up to 1000s of commands
  • 100 KB
  • 500 KB
  • < 200 ms
  • 48 MHz
  • ARM Cortex M4 or higher
  • 3 - 4 WakeWords + 10 - 100 commands
  • 128 KB
  • 600 KB
  • 200 ms
  • 48 MHz
  • ARM Cortex M4 or higher

*Note that these numbers are estimated on a particular CortexM4 platform. The exact footprint might change depending on your hardware, its features, and support of various Fluent libraries for the hardware.

Minimum Device Requirements*

Vocabulary Size

  • Fluent.ai Core for MCPUs and DSPs
    Up to 1000s of commands
  • Multi-WakeWord + Voice Control Engine
    3 - 4 WakeWords + 10 - 100 commands

RAM

  • Fluent.ai Core for MCPUs and DSPs
    100 KB
  • Multi-WakeWord + Voice Control Engine
    128 KB

Storage

  • Fluent.ai Core for MCPUs and DSPs
    500 KB
  • Multi-WakeWord + Voice Control Engine
    600 KB

Latency

  • Fluent.ai Core for MCPUs and DSPs
    < 200 ms
  • Multi-WakeWord + Voice Control Engine
    200 ms

Minimum Frequency

  • Fluent.ai Core for MCPUs and DSPs
    48 MHz
  • Multi-WakeWord + Voice Control Engine
    48 MHz

Recommended Platforms

  • Fluent.ai Core for MCPUs and DSPs
    ARM Cortex M4 or higher
  • Multi-WakeWord + Voice Control Engine
    ARM Cortex M4 or higher

*Note that these numbers are estimated on a particular CortexM4 platform. The exact footprint might change depending on your hardware, its features, and the support of various Fluent libraries for the hardware.

Universal Language & Accent Support

Fluent.ai’s unique Speech to Intent technology allows us to quickly develop speech recognition models in any language and for any accent on demand.

En NA

En UK

En AUS

Sp MEX

Sp ESP

Fr FRN

Pr BRA

De

Ko

It

Mn

Hr

Pl

Ru

Tr

Features

Flexible Architecture

Offline/on-device for secure and private interaction

Universal Language Support

Develop and deploy models in any language

Multilingual

Recognize multiple languages concurrently

New Opportunities at Low Cost

Universal language support, reduced data requirements, and short development cycle results in fast entry to new markets

Noise Robust

High accuracy even in very noisy environments

Personalizable

Allows the end-user to add their own phrases to the vocabulary or replace existing phrases

Fluent.ai is a leader in low-power speech understanding solutions. Our systems are highly portable and require a very light footprint. We support a wide range of hardware platforms. In particular, both our WakeWord and Core systems are able to run on ARM CortexTM M4 series of microcontrollers (without needing a Floating Point Compute Unit) from AmbiqMicroTM and STMicroelectronicsTM, ARM CortexTM M7 series, ARM Cortex A series of processors, and many digital signal processors (DSPs). We have also ported our algorithms to various AI-chips with specific neural network accelerators. Contact us if you have specific hardware requirements.

Supported
Hardware

Enhance your devices with Fluent.ai's
offline, robust and multilingual voice AI engine