ON-DEVICE AI ARCHITECTURE
Four Pillars. Zero Cloud. One Price Breakthrough.
BitRaft’s on-device Physical AI engine combines quantized neural LLMs, local speech recognition, local RAG knowledge ingestion, and spatial vision—operating 100% offline.
WAVE 1 — PHYSICAL AI
“The ChatGPT moment for robotics has arrived.”
— NVIDIA CEO Jensen Huang, CES 2026
~$56B invested into robotics in 2026. However, $16,000–$90,000+ bipedal walking machines consume 80% of battery power on legs rather than minds.
WAVE 2 — ON-DEVICE AI
“AI-native devices that operate locally.”
— Defining Theme of CES 2026
Local agents run without a single cloud call. Sensitive data stays on-device—turning privacy into architecture rather than policy.
PLATFORM STACK
The BitRaft Four-Pillar Core
1. Voice & Perception
- Offline speech recognition (ASR)
- Natural offline voice synthesis (TTS)
- Hindi, English + regional languages
- On-device vision (faces & presence)
2. On-Device Knowledge
- Quantized LLM runs on edge silicon
- Local RAG vector indexing
- Use-case knowledge packs per domain
- Updated on demand — never stale
3. Persona Engine
- Switchable personas in 1 button
- New verticals on same hardware
- OTA updates via Care plan
- Software-defined behavior avatars
4. Private by Design
- 100% data privacy architecture
- Nothing sent to any LLM or cloud
- Processing ends on physical device
- Compliant-by-design for institutions
COMPETITIVE LANDSCAPE ANALYSIS
BitRaft vs The Robot Field — Capability Comparison
Our edge: BitRaft does what Pepper couldn't—knowledge work, 100% fully offline, with vision, at ~1/17th the price point.
| Capability | BitRaft | Miko | NAO V6 | AlphaMini | Merlyn Mind | Pepper |
|---|---|---|---|---|---|---|
| Domain knowledge-pack teaching, local languages | — | Coding edu | Partial | — | — | |
| Fully offline & token-free (no cloud dependency) | — | Partial | — | — | — | |
| On-device vision & presence awareness | Partial | Partial | — | Partial | ||
| Service-grade (not a home toy) | — | Partial | Voice device | |||
| Affordable (≈ ₹1.49 Lakh per unit) | ₹15–35K toy | — | Partial | — | — | |
| Switchable personas / multi-vertical | — | Apps | — | — | Partial | |
| Custom knowledge base per customer (Local RAG) | — | Partial | — | Partial | — | |
| Made in India | — | — | — | — |