Existing cloud-based speech recognition systems raise privacy concerns, require constant internet connectivity, and often struggle with noisy environments and diverse accents. This reliance on the cloud leads to latency issues and increased costs due to high computing requirements.

Fluent.ai provides embedded, offline speech recognition solutions that address these limitations by processing voice commands directly on the device. Their patented speech-to-intent technology bypasses the need for speech-to-text transcription, enabling accurate voice recognition in any language or accent, even in noisy conditions, without requiring an internet connection. This approach ensures user privacy, reduces latency, and lowers costs by eliminating the need for cloud-based processing. Fluent.ai offers two primary products: Fluent.ai Wakeword, a customizable keyword spotting solution, and Fluent.ai Air (Automatic Intent Recognition), a voice recognition engine that converts voice commands into actions.

Speech-to-intent technology that directly maps speech to desired actions without speech-to-text transcription

Fully offline operation, ensuring user privacy and eliminating the need for cloud connectivity

Language and accent agnostic voice recognition, supporting any language or accent on demand

Noise robustness, providing accurate speech recognition even in challenging environments

Low latency, offering a rapid-response voice user interface

Small footprint and low power consumption, suitable for embedded systems and resource-constrained devices (Arm Cortex-M4 or higher)

Custom branded wake word solutions to increase brand recognition

Capability to recognize multiple languages concurrently within a single software model

Fluent.ai's primary customers are consumer device OEMs, particularly those in the smart home, wearables, IIoT, and robotics sectors, seeking to integrate intuitive, private, and reliable voice user interfaces into their products.