Tensoric Mobile
Autonomous smartphone operation with native Uzbek fluency. Runs locally on the phone's GPU using ~500 MB RAM.
Tensoric Mobile is a compact, privacy-first AI engine designed to run entirely on the smartphone's local GPU. Operating within approximately 500 MB of RAM, it navigates apps, executes multi-step workflows, and natively understands spoken and written Uzbek without sending personal data to external clouds.
Runtime execution
in real environments.
Telegramda Akmalga: 'Ertaga soat 10:00 da loyiha bo'yicha ko'rishamiz' deb yoz va kalendarga eslatma qo'sh.
Engineered for
mission-critical accuracy.
Native Uzbek Language Fluency
Trained on an exhaustive corpus of Uzbek vernacular and literary morphology. Accurately handles dialect nuances, Latin/Cyrillic scripts, and regional conversational shorthand.
Autonomous Screen & App Navigation
Deconstructs UI hierarchies into semantic actionable trees. It taps buttons, fills forms, switches between apps, and verifies completed workflows on behalf of the user.
100% Offline Privacy Perimeter
Operates locally on device without requiring an active cellular or Wi-Fi connection. Private data, credentials, and personal chats never touch external servers.
Local Mobile GPU Acceleration
Directly leverages the phone's GPU for instant response times, utilizing only around 500 MB of system RAM while preserving device battery life.
Deterministic pipeline
step by step.
Natural Language Parser
Transcribes and tokenizes raw Uzbek audio or text in real time on the device GPU.
UI Semantic Decomposition
Inspects accessibility nodes and visual screen elements to map requested intent to target app actions.
Deterministic Action Dispatcher
Executes programmatic gestures (tap, scroll, input) with step-by-step state verification.
System specifications &
runtime constraints.
Request early deployment for Tensoric Mobile
Join our selective cohort of enterprise engineering teams testing Tensoric Mobile in production environments.