Education

Swissi Institut
for AI

Swiss research and education quality — 100% online

Capital NeedCHF 1M
StagePre-Seed
LocationSwitzerland
The Vision

The Swissi Institut for AI is building Switzerland's first accredited institution specialized in AI education at EQF level 8. Combining Swiss quality standards with a fully integrated AI learning platform, we deliver BA, MBA, DBA, and PhD programs—100% online, powered by Swissi UniAI.

"In the future, the world will be led by those who master the most effective AI architectures and algorithms."— Dr. Walter Kurz, Co-Founder

Market

The EU AI Act mandates training for everyone who develops, deploys, or supervises AI systems. No Swiss institution offers accredited AI programs at doctoral level—100% online.

Solution

A purpose-built education system for the AI era—where compliance training, executive education, and academic degrees converge on a single, AI-native platform.

01

Regulatory Mandate

The EU AI Act (2024/1650) transforms AI education from voluntary upskilling to a legal compliance requirement. Articles 4(3) and 29 mandate training for everyone who develops, deploys, or supervises AI systems.

Switzerland is indirectly affected through sectoral regulation and bilateral agreements. Compliance documentation is now required for audits and certified processes across all industries.

01Art. 4(3)AI Literacy

Mandatory for all AI system operators

02Art. 29Training

Required for high-risk AI deployers

03EQF 8Level

Doctoral-level qualification

04100%Online

Fully digital delivery

02

Academic Programs

Swiss quality standards delivered through a fully integrated AI learning platform.

01

Bachelor of Arts

3 Years

Foundation in AI fundamentals, ethics, and application across business domains.

02

MBA in AI

18 Months

Executive education for leaders implementing AI strategy in regulated industries.

03

DBA in AI

3 Years

Applied research doctorate for practitioners solving real-world AI governance challenges.

04

PhD in AI

4 Years

Academic research degree advancing the theoretical foundations of AI in society.

03

Market Opportunity

01CHF 17.2BTAM by 2030

International AI education and compliance training market

022,000+Students

Target annual enrollment through accredited programs

03CHF 20M+Target ARR

Based on regulatory relevance and scalable infrastructure

04

Traction

01

Swissi UniAI Platform

In Development

First Swiss institution with fully integrated AI learning and administration system

02

EU Consortium Partner

Confirmed

Development partnership with AI Research Factory 3 for EduAI initiative

03

Academic Cooperation

Confirmed

Partnership with Signum Magnum College for program development

04

Accreditation Pathway

Planned

Swiss HFKG and ESG standards for institutional and program accreditation

Swissi Research Paper
Our Own Research

DAG-Verified Academic Credentials

Our research establishes the foundation for immutable academic certification using DAG (Directed Acyclic Graph) technology. We combine cryptographic verification with AI-powered administrative systems to create tamper-proof credentials with built-in ESG compliance tracking.

Through collaboration with universities and regulatory bodies, we ensure compliance with Bologna Process standards, GDPR requirements, and ESG reporting frameworks while enabling seamless cross-border credential verification.

Swissi Authors: Prof. Dr. Walter Kurz, Michel Marla, Wojtek Stricker

05

Roadmap

01Phase 12025–2026
  • Legal structure (AG)
  • Accreditation processes
  • Curriculum development
  • Swissi UniAI integration
02Phase 22026–2027
  • First student cohort
  • DACH market entry
  • Regional partnerships
  • Sector-specific programs
03Phase 32027–2028
  • EU expansion
  • License partner network
  • Franchise system
  • Strategic alliances
04Phase 42028+
  • Southeast Europe, GCC
  • Full program portfolio
  • Research center
  • IPO preparation
06

Founders

The founding team combines entrepreneurial experience, academic expertise, and an extensive network in AI, higher education, and technology development.

MM
Michel MalaraMBA, PhD (Cand.)Co-Founder

Leadership strategist with 15+ years in entrepreneurial responsibility, HR management, and strategic organizational development. Developing a normative AI governance model based on Hans Jonas responsibility ethics.

WK
Dr. Walter KurzMBA, MScCo-Founder

Serial entrepreneur since 1996. Founder of multiple education and technology companies. Peer-Reviewer for American Journal of AI (New York). Named AI expert by Forbes Magazine. Supervises Master, DBA, and PhD theses on AI in regulated markets.

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