Investors & strategic partners

ZYK is designed to be more than an AI wrapper or hardware reseller.

The business thesis is an education-specific institutional AI company spanning infrastructure, software, governance, assessment, training and ongoing support — with a path from individual schools to school groups and regional deployments.

What is being built

An institutional layer between schools and rapidly changing AI models.

Infrastructure

Private on-premise, hosted and hybrid deployment with capacity planning, model serving, monitoring and lifecycle support.

Education software

Chat, Create, Analyze, Voice, Code and Agent interfaces, with Knowledge, Assess and Control as the broader product architecture develops.

Governance

Institutional identity, access, audit, consent, retention, content controls and policy workflows create a layer that consumer AI products do not provide by default.

Capability building

Teacher PD, IT training, student AI literacy, Host School partnerships and the proposed Graduate Academy expand implementation capacity around the technology.

Revenue architecture

Multiple revenue layers around one institutional relationship.

Deployment

Hardware, installation, integration and commissioning for private AI environments.

Recurring software & support

Annual licensing, managed hosting, maintenance, monitoring and support create recurring revenue beyond the initial deployment.

Governance & compliance services

Readiness assessments, implementation support, DPIA-related work, policy/documentation support and a proposed commercial safety programme.

Training & specialist services

Professional development, system-administration training, custom integrations, custom agents and future assessment services.

Pricing currently shown elsewhere in the project is illustrative business-plan pricing, not validated current unit economics.

Why this may be defensible

The moat is the institutional system, not any single model.

Education-specific workflows

Curriculum, assessment, safeguarding, class structure, parent expectations and school operations create domain requirements that generic AI access does not solve.

Institutional knowledge

Governed school knowledge, permissions, source management and workflow integration can become more valuable over time than the underlying model endpoint.

Model portability

A model-neutral architecture reduces dependence on one supplier and allows ZYK to adopt stronger local or open models as the market changes.

Operational relationship

Infrastructure, governance, training, assessment and support make ZYK part of the school's operating environment rather than a disposable application subscription.

Scaling path

School → group → regional service.

1. Pilot institution

Validate priority workflows, governance and infrastructure with a bounded school deployment.

2. Campus / full-school deployment

Expand identity, knowledge, assessment, teacher/student access and operations.

3. School group

Introduce shared standards, shared infrastructure where appropriate and a group-level control model.

4. Regional / bureau model

Potentially coordinate capacity, governance, training and assessment across many institutions while preserving school-level boundaries.

Capability evidence

Turn technical work into evidence — carefully.

Preserved project records document procurement of two Gigabyte G292-Z20 servers, eight Tesla A2 16GB GPUs and a 42U rack, alongside planned vLLM/TGI inference, embedding and media workloads. Before public marketing, current possession, configuration and operational status should be re-verified.

Infrastructure R&D

Validated lab work can demonstrate that the company understands server deployment, inference and operational constraints beyond slideware.

Assessment R&D

Recovered Cambridge KET/PET and browser-based assessment work may become adjacent product IP after rights, scope and technical status are reviewed.

Academy & talent pipeline

The proposed Graduate Academy can support local technical capability and potentially create a recruitment and deployment pipeline as the business grows.

What still needs proof

A credible investment story should make its unknowns visible.

Corporate readiness

Final legal entity, ownership structure, partner roles and regulatory responsibilities.

Product readiness

Which platform modules are prototypes, planned builds or commercially deployable at the time of fundraising.

Commercial validation

Pilots, pipeline, sales cycle, supplier pricing, support cost, gross margin and renewal assumptions.

Evidence & permissions

Customer references, partner names, lab claims and case studies should only be used with verification and permission.

This page is a content-v2 strategic narrative derived from the consolidated business plan and recovered project evidence. It is not an offer of securities, a representation of current traction, or a substitute for a formal investment memorandum.