Voice & Language AI for the Edge
ENERZAi delivers powerful voice and language AI models for edge devices. We build ultra-lightweight STT, LLM, TTS, and translation models optimized for minimal memory use on clients’ target hardware.
ENERZAi delivers powerful voice and language AI models for edge devices. We build ultra-lightweight STT, LLM, TTS, and translation models optimized for minimal memory use on clients’ target hardware.
SOLUTION
ENERZAi delivers breakthrough voice & language AI models optimized for embedded systems. Powered by our full-stack edge AI technology, our solutions enable accurate and fast AI experience with minimal memory usage.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.
Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.
Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
Audio & Voice
STT
(Speech-to-Text)
Rapidly converts speech to text, enabling voice AI assistants and powering voice-driven features such as command control, translation, search, and summarization.Audio & Voice
SLU
(Spoken Language Understanding)
Identify user intent and extract key information from voice commands, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Audio & Voice
TTS
(Text-to-Speech)
Convert text into natural-sounding speech in real time, enabling seamless, human-like interactions between users and voice AI assistants.
Language
LLM
(Large Language Model)
Performs language tasks such as Q&A, and summarization. Speech is converted to text via STT, processed by LLM, and returned as speech via TTS for a complete voice AI assistant experience.Language
Translation
Accurately and quickly translate text and speech, empowering voice AI assistants to deliver seamless global communication and effortless localization.
Language
NLU
(Natural Language Understanding)
Identify user intent and extract key information from text, enabling voice AI assistants to enable accurate understanding of requests followed by seamless responses.
Vision & Multimodal
VLM
(Vision Language Model)
Integrate the understanding of images, videos, and text as a multimodal model, extending language capabilities to visual data, while offering fast inference speed and high accuracy.
Vision & Multimodal
CAR
(Compression Artifact Removal)
Quickly eliminate compression artifacts from videos, enhancing visual quality and saving video storage costs.
Vision & Multimodal
Detection
Automatically and swiftly identify people, vehicles, and other objects, strengthening situational awareness and enabling early risk detection.
PyTorch
TensorFlow
TF Lite
Model
Graph Parser
Graph
Optimization
Pipeline
Graph
Parser & Type Inference
Optimization Pass Pipeline
Target Converter
Nadya Compiler
3rd Party Framework
Hardware
Scheduling
& Execution
Runtime
CPU
GPU
NPU
PyTorch
TensorFlow
TF Lite
Model
Graph Parser
Graph
Optimization
Pipeline
Graph
Parser & Type Inference
Optimization Pass Pipeline
Target Converter
Nadya Compiler
3rd
Party
Framework
Hardware Scheduling & Execution
Runtime
CPU
GPU
NPU
PyTorch
TensorFlow
TF Lite
Model
Graph Parser
Graph
Optimization
Pipeline
Graph
Parser & Type Inference
Optimization Pass Pipeline
Target Converter
Nadya Compiler
3rd Party Framework
Hardware Scheduling & Execution
Runtime
CPU
GPU
NPU