Fluent.ai: Offline Voice AI and Speech Recognition
Fluent.ai helps device OEMs integrate voice control into hardware. It is designed for companies that need speech recognition in noisy environments or require on-device user privacy.
At a glance
- Category
- Software Development
- Best for
- Consumer device OEMs, Industrial hardware manufacturers, Smart home appliance brands, Enterprise robotics companies
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Industrial Voice Control, Smart Home Appliances, Wearable Device Interaction, Private Voice Interfaces
- Official website
- fluent.ai
Fluent.ai provides speech-to-intent technology designed to run offline on embedded devices. Rather than transcribing speech to text in the cloud, the software is designed to map speech directly to an intended action, which may help reduce latency and removes the need for an internet connection.
The software is intended for manufacturers of smart home devices, wearables, and industrial robotics. It is designed to work across various languages and accents, including in high-noise environments like factory floors.
Buyers should confirm their hardware specifications, as the software has minimum RAM, Flash, and CPU requirements depending on the number of commands. As an embedded solution, it is intended for companies with software development capabilities for hardware integration.
Key Features
Maps speech to actions on-device without requiring cloud connectivity or text transcription.
Designed to maintain accuracy in challenging acoustic environments, such as industrial factories.
Supports various languages and accents, which may allow for single SKU deployment across different regions.
A keyword spotting solution that supports custom branded wake words for device activation.
An automatic intent recognition engine for processing voice commands offline.
Designed for low power consumption and small memory footprints to fit on microcontrollers.
Use Cases
Supports hands-free operation for factory assembly lines and heavy machinery in noisy environments.
Enables offline voice commands for kitchen range hoods, air purifiers, and washing machines.
Supports voice-based user interfaces for wearables and hearables with limited processing power.
Implements voice control where user audio remains on the device to support data privacy.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
No, the software is designed to run fully offline on the device.
It is designed for consumer device OEMs in the smart home, wearables, and industrial robotics sectors.
Yes, it is designed to be noise-robust for use in settings such as factory floors.
The software supports Arm Cortex-M4 or higher, as well as M7 and A series processors and various DSPs; specific RAM and Flash requirements vary by product.
Source category: Software Development
Source subcategory: Voice AI
