Cloud LLM × Local Encrypted Acceleration
DeepvBrowser places heavy inference in the cloud while keeping critical information on the device. Local components only handle voice triggering, caching, and fast UI rendering. This enables access to the latest models while maintaining core usability in weak network scenarios.
Dynamic cloud-side LLM calls for real-time access to latest knowledge and reasoning capabilities. CDN-accelerated latency averaging under 300ms.
Unified AES-256 encryption for device-cloud transmission and local storage. Verified encryption/decryption solution on Flutter.
Third-party tools/parsers compiled into WASM modules, running in isolated sandboxes for security
Voice commands, translation models, and reading content cached locally for offline use
Cloud LLM Comprehensive Evaluation
A/B Testing Feedback
Hybrid Cache + Streaming Response
Cloud-Device Collaboration, Weak Network Fallback to Local Engine
Compliant with GDPR / PIPL minimization principles
TLS 1.3 + AES-256, Key management via Secure Enclave / Android KeyStore
Block third-party fingerprinting scripts
Cloud LLM × Flutter Client, Lightweight Local Plugins
DeepvBrowser uses Flutter cross-platform framework to build the client, with heavy AI inference completed in the cloud. Local components only handle voice triggering, data caching, and UI rendering, achieving the perfect balance between optimal performance and latest model capabilities.
Native Performance & Unified Experience
60 FPS+ smooth rendering, unified iOS/Android development
Latest Models & Real-time Inference
Supports multimodal inference, CDN-accelerated global deployment
Voice Wake-up & Basic NLP
Offline speech recognition, keyword parsing, weak network backup
Secure Plugin Environment
Third-party tools run in isolation, near-native performance
Local Data Warehouse & Offline Capabilities
SQLite local storage, smart pre-caching strategy
TLS 1.3 & AES-256
Hardware key management, secure data transmission
* Data based on Q2 2025 beta testing samples. Device specs: A15 / Tensor G3. Full test report coming soon.
Common questions and answers about DeepvBrowser to help you better understand our product
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