Signal: Product Profile • Sovereign Offline-First AI • Canonical: teatcher.com
[ TEA+T+CHER ]
TEA+T+CHER powered by SynqAI Edge
Sovereign, Offline-First AI Teaching & Assistance Platform • On‑Premise & Hybrid AI Deployments
The What
TEA+T+CHER is a sovereign AI teaching and assistance platform designed to deliver AI literacy, training, and secure AI interaction without reliance on cloud infrastructure. It runs locally on dedicated edge devices and can operate fully offline.
The Why
- Cloud dependency blocks adoption where connectivity is limited or unreliable.
- Institutional environments require data sovereignty for children’s data and corporate IP.
- Regulated organisations require deterministic control over behaviour, data flow, and governance.
Principle: Teaching the future, not the past. The platform augments educators and trainers — it does not replace them.
Core Capabilities
Offline Interaction
Local AI dialogue and optional voice interaction on edge hardware — no cloud required.
Curriculum / Training Logic
Structured teaching flows for AI literacy and professional training in controlled environments.
Physical OFFLINE / TUNNEL Control
Hardware-backed control modes for network isolation and data sovereignty.
Governed Modes (A/B/C/D)
Policy-driven interaction modes that constrain behaviour, tools, and outputs for institutional use.
Deployment Models
- On‑Premise: fully offline operation for maximum data sovereignty.
- Hybrid: controlled connectivity via tunnel policies when external services are permitted.
SynqAI Edge systems are high-performance AI computing devices designed for on‑premise and hybrid deployments, forming the hardware foundation for TEA+T+CHER.
Where It Fits
- Education authorities and schools: offline AI literacy and safe guided learning.
- Corporate and regulated organisations: secure AI training where IP stays on‑prem.
- Secure office environments: sovereign AI assistance with controlled governance.
Signals
- NVIDIA Inception: ecosystem participation for accelerated AI product development.
- dAIEDGE Network of Excellence (Open Call 3): selected project in distributed Edge AI.