Glasses That See the World
and Finish the Task
edge0 puts multimodal understanding on the glasses: recognition, reading and scene QA run from live camera frames, while voice carries conversation and complex tasks call the cloud.
Smart Glasses
Smart glasses live or die by response speed: people talk to what they see, and they expect an answer before the moment passes. With edge0’s EVA stack, recognition and command execution stay on the glasses, open questions reach the cloud only when needed, and everything returns as one spoken answer plus a structured UI our firmware can render directly.
Glasses Must Respond Instantly
and Answer Open Questions
Device control and everyday interaction stay on the glasses; live data, open QA and complex tasks reach the cloud through the EVA Gateway on demand.
Voice Is the Primary Input
Smart glasses have no keyboard and no big screen. High-frequency actions must work the moment they are spoken; waiting on the cloud multiplies interaction friction.
Answers Must Drive the Interface
Scores, weather and calendars need a spoken answer and a structured UI at the same time. A plain text interface cannot carry that device experience.
Complex Tasks Need the Cloud
Open QA and live data still need the network, so a single router must split high-frequency commands and complex tasks by scene.
Teams Choose EVA for One Interface
Across Device, Cloud and UI
OEMs no longer build separate chains for command models, general LLMs, live data and UI generation; the Gateway and SDK handle unified routing and structured output.
Every Glance Becomes
Usable Information
The camera captures the scene and voice asks the question; the on-device model handles exhibit recognition, text understanding and key-point extraction, while complex QA and live data call the cloud through the EVA Gateway.
On-Device Multimodal Model
Image recognition, OCR, scene understanding and basic QA run on the glasses, working even on weak or broken networks.
Vision and Voice Together
Users ask about what is in front of them; the model combines the frame and the question to return a natural-language answer plus a dynamic UI.
Structured Information Extraction
Whiteboards, documents and field text become titles, key points, conclusions and to-dos, ready to save and call later.
Fast OEM Integration
Ships as an API Gateway and SDK inside glasses firmware, covering visual understanding, voice interaction, task orchestration and UI callbacks.
High-Frequency Commands on Device,
Complex Tasks Completed in the Cloud
The EVA SDK handles voice input, command recognition and local action callbacks on the glasses; the Gateway picks cloud services for weather, scores, calendars and open QA, then converts results into speech and UI Schema.