// Fully Local · Privacy Preserving · On Device AI

The AI assistant
for your desk.

Da Vinci is a smart desk AI assistant designed as a minimal desktop device — combining a speaker system, microphone array, embedded compute, and local AI inference into a single privacy-first companion that lives entirely on your table. No cloud dependency. No data leakage. No compromise.

93.82%

Intent Classification Accuracy

83

Defined Intent Categories

5

Sequential AI Processing Stages

0

Cloud Calls & External Data Transfer

Product Vision

AI should exist with you.
Not somewhere else.

Existing AI assistants rely on continuous communication with remote servers, exposing voice recordings, user behavior, and personal interactions to external infrastructure. These systems fundamentally sacrifice privacy for convenience.

Da Vinci was engineered to reverse that assumption completely. Every stage of inference — from wake word detection to speech understanding and response synthesis — runs locally on-device using embedded AI models.

The result is a low-latency, fully offline smart assistant capable of executing productivity tasks, environmental queries, email operations, media playback, and multi-intent conversational workflows without transmitting any data externally.

01 — Privacy First

All voice data remains on-device. No recordings, prompts, or behavioral patterns are transmitted to third-party servers.

02 — Offline Intelligence

Da Vinci continues functioning even without internet connectivity, enabling reliable execution in secure and isolated environments.

03 — Hybrid AI Architecture

Data-driven perception models are combined with deterministic rule-based execution logic for accuracy, safety, and anti-hallucination control.

AI Processing Pipeline

Five stages.
One continuous conversation.

01

Wake Word Detection

Continuously listens for activation keywords using ultra-low-power local inference without sending audio externally.

02

Voice Activity Detection

Dynamically isolates meaningful speech from silence and environmental noise for improved transcription efficiency.

03

Speech-to-Text Engine

Converts voice into structured text locally using optimized embedded speech models.

04

Intent Understanding

Fine-tuned MiniLM embeddings combined with a RAG-based retrieval architecture resolve user intent across 83 command categories.

05

Response Synthesis

Generates contextual responses and executes validated actions using deterministic safety-aware logic and natural voice synthesis.

DV
// Click a stage to activate
System Capabilities

Built for productivity.
Designed for trust.

Mail Integration

Read, draft, organize, and manage email interactions through natural voice commands.

Task Automation

Create reminders, manage schedules, and automate recurring workflows locally.

Music & Media

Voice-controlled playback with contextual recommendations and local control logic.

Dialogue Manager

Maintains session context and enables multi-intent conversational interaction.

Anti-Hallucination Parser

Validates intents before execution to prevent fabricated actions and unsafe outputs.

Voice State Machine

Handles operational states including idle, listening, processing, and speaking.

Your assistant should know you.
Not the internet.

Founder
Founder

A Chandra Haas

Founder — Darvion Innovations Pvt Ltd

Building privacy-first AI systems focused on local intelligence, offline capability, and secure human-centered computing experiences.

8688852050
chandu4addanki@gmail.com