Pitch Deck
TEA+T+CHER
Sovereign, Offline-First AI Teaching & Assistance Platform
Edge AI (Jetson / NUC)
Data Sovereignty
Governed Modes (A/B/C/D)
Offline / Tunnel Control
TRL 6 → TRL 8
1) Problem
- AI adoption in education and regulated organisations is blocked by cloud dependency.
- Children’s data and corporate IP often cannot leave premises (policy, legal, security).
- Institutions need deterministic control over AI behaviour, data flow and governance.
- Connectivity is not guaranteed in many schools, training sites, and secure environments.
These constraints are especially acute in institutions with limited connectivity and strict data residency requirements.
2) Solution / Value Proposition
TEA+T+CHER is a sovereign, offline-first AI teaching and assistance platform that runs locally on
dedicated edge devices. It delivers AI literacy, training, and secure AI interaction without reliance on cloud
infrastructure.
For Education
Offline AI literacy delivery, safe guided learning, curriculum-driven training logic.
For Corporate / Regulated
Secure AI training where data and IP stay on-prem, with governed interaction modes.
For Offices / Meetings
Sovereign AI assistance in controlled environments (notes, workflows, Q&A) without cloud leakage.
3) Product
- Hardware-backed Edge AI (Jetson/NUC class) for local inference and control.
- Offline dialogue + voice interaction (where enabled by device configuration).
- Curriculum-driven training logic for structured AI literacy and professional training.
- Physical OFFLINE / TUNNEL control for data sovereignty and network isolation.
- Governed AI interaction modes (A/B/C/D) to constrain behaviour, tools, and outputs.
Core principle: Augment teachers and trainers — not replace them.
4) Differentiation
| Dimension |
Typical AI tools |
TEA+T+CHER |
| Deployment |
Cloud-first |
Offline-first, edge devices |
| Data governance |
Limited controls |
Physical offline/tunnel + governed modes |
| Determinism |
Variable behaviour |
Policy-driven interaction modes (A/B/C/D) |
| Institutional fit |
Consumer UX |
Institutional-grade deployment model |
5) Market
- Institutional buyers: schools, education authorities, corporate training, regulated entities.
- Primary regions: UAE (MENA base) + UK and international expansion.
- Drivers: sovereignty, compliance, safety, connectivity constraints, AI literacy demand.
Institutional demand is driven by compliance, trust, and the need for sovereign AI capability across education and regulated sectors.
6) Business Model
- Hardware unit sales (edge device kits).
- Recurring annual software licences (per institution / seat / device).
- Implementation + training services (setup, curriculum, staff enablement).
Predictable revenue from multi-seat institutional contracts and low marginal deployment costs.
7) Competition
We compete against cloud AI platforms and AI learning tools that are not designed for sovereign deployment.
| Competitor type |
Strengths |
Gap / weakness |
| Cloud AI assistants |
Fast feature velocity |
Data residency, compliance, connectivity dependency |
| EdTech content platforms |
Content libraries |
No offline sovereign AI + limited governance |
| On-prem IT tools |
Control |
Not AI-native; lacks training logic + guided AI interaction |
8) Traction / Readiness
- TRL: 6 (prototype validated) → aiming TRL 8 (pilot-proven productised system).
- Pilots: Pilot deployments in preparation with education and corporate stakeholders (names available under NDA where applicable).
- Security: hardening + validation planned (governance, isolation, auditability).
- Commercial: institutional pricing structure defined; pipeline building.
10) Fundraising
- Previous: Bootstrapped.
- Next: Open to strategic partners and early-stage capital aligned with sovereign AI deployments to fund pilots, productisation, and go-to-market in MENA.
- Use of funds: security hardening, pilot deployments, manufacturing alignment, and institutional sales pipeline.
11) Plans for Hub71 & Abu Dhabi (First 3 Months)
- Formalise UAE operating setup and compliance alignment for sovereign AI deployments.
- Initiate and secure pilot deployments with education and regulated-sector stakeholders.
- Establish channel partnerships (integrators / distributors) for institutional sales.
- Prepare a scaled rollout plan across MENA with Hub71 ecosystem support.
Target outcome: validated pilots + signed pathway to institutional procurement.