EdTech

Swissi
UniAI

Multi-agent AI platform for higher education — regulatory-compliant by design

Capital NeedCHF 2M
StagePre-Seed
LocationSwitzerland
The Vision

UniAI transforms how universities operate by embedding AI agents across all institutional functions—from student support to faculty assistance to administrative automation—while ensuring full regulatory compliance with GDPR, EU AI Act, and Bologna Process standards.

"The system is not designed for full autonomous substitution. UniAI functions as a structural support architecture—enhancing procedural reliability and institutional integrity while preserving the human-institutional interface."

The Problem

Fragmented AI in higher education

Current institutional systems lack a coherent foundation for AI-supported processes and do not enable verifiable, cross-institutional certification. Digital infrastructure has developed incrementally through proprietary software—isolated, unauditable, and legally fragile.

  • Disconnected AI tools: chatbots, grading, plagiarism detection—none integrated with core institutional logic
  • No verifiable credential infrastructure for cross-border academic recognition
  • EU AI Act classifies educational AI as high-risk—requiring transparency, human oversight, and data governance
  • Institutional data silos prevent regulatory traceability and long-term verifiability
The Solution

Two core innovations

01Immutable Certification

Every credential, grade, and academic record is cryptographically secured on a distributed ledger—tamper-proof, instantly verifiable, and recognised across borders.

  • Blockchain-anchored diplomas and transcripts
  • Real-time verification for employers and institutions
  • Eliminates credential fraud and manual verification
  • Student-owned portable academic identity
02Native AI Integration

Purpose-built AI agents that support—not replace—administrators and professors. Embedded into daily workflows, not bolted on as afterthoughts.

  • Administrative AI: enrollment, scheduling, reporting
  • Academic AI: grading assistance, content validation
  • Human-in-the-loop for all consequential decisions
  • Reduces workload while preserving academic authority
UniAI 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

Market Opportunity

Massive addressable market

CHF 45BTAM by 2030

Global EdTech market for AI-powered learning platforms and institutional software

CHF 12BSAM

Higher education segment in Europe, MENA, and Asia-Pacific with Bologna Process alignment

CHF 850MSOM Year 5

Serviceable obtainable market through consortium partnerships and white-label licensing

Traction

Momentum building

01
UniAI Core PlatformIn Development

Multi-agent architecture with administrative, academic, student, and audit agents

02
UniDVS Layer 2Architecture Complete

Distributed verification service for procedural operations and credential attestations

03
EU Consortium InterestIn Discussion

Preliminary talks with European university networks for pilot deployment

04
Regulatory AlignmentOngoing

GDPR, EU AI Act, and Bologna Process compliance built into system design

Academic Research

AI-Native University Administration

Our multi-agent AI architecture is designed specifically for higher education workflows. Administrative, academic, student, and audit agents work together to automate routine tasks while preserving institutional authority.

The research demonstrates how AI can reduce administrative workload by up to 60% while improving accuracy and compliance across enrollment, scheduling, and reporting functions.

UniAI Research Paper
Revenue Model

Multiple revenue streams

Diversified income through SaaS licensing, transaction fees, and consortium partnerships—designed for recurring revenue and institutional lock-in.

Full financial projections available after login
Platform LicensingAnnual license fees based on student enrollment tiers
Per-institution SaaS
Verification FeesCredential verification and cross-border recognition services
Per-transaction
White-Label PartnersLicensing to regional education providers and consortia
Revenue share
Token EconomicsTransaction fees on regulated financial operations
Layer 1 fees
Value Creation

Projected outcomes

Based on conservative market penetration assumptions and comparable EdTech valuations in the institutional software space.

Year 3Break-even and initial commercial traction
2.5x
Year 5Illustrative scale scenario
6x
Reference CaseInternal planning benchmark
40%
The Architecture

Four specialized AI agent classes

01Administrative Agent

High reliability, deterministic outputs, controlled access to sensitive data

  • Enrollment processing
  • Timetable coordination
  • Financial disbursement
  • Regulatory reporting
02Academic Agent

Advisory inference, human-validated outputs, disciplinary standards compliance

  • Curriculum management
  • Assessment generation
  • Grading support
  • Content validation
03Student Agent

Privacy-first, explainable outputs, no irreversible actions without confirmation

  • Course planning
  • Workload estimation
  • Credit tracking
  • Administrative navigation
04Audit Agent

Read-only access, evidentiary admissibility, traceable decision chains

  • Compliance verification
  • Anomaly detection
  • Credential validation
  • Regulatory proof
Institutional Collaboration

Federated by design

UniAI operates across a federated consortium of accredited institutions. Each university deploys a white-labelled instance adapted to local policies while remaining structurally aligned with the audited system core.

This governance model prevents vendor dependency, maintains operational neutrality, and ensures cross-jurisdictional interoperability for credential recognition.

Institutional collaboration
Global Network

Worldwide research consortia

We are actively building research consortia with higher educational institutions across the globe—creating a network for collaborative AI research, shared infrastructure, and cross-border academic validation.

EuropeRegulatory Framework

Partnerships with EU institutions for GDPR and AI Act compliance research, Bologna Process alignment, and credential interoperability.

MENA & GCCExpansion Markets

Collaboration with universities in the Middle East and Gulf region for localised deployment and Arabic-language AI education.

Asia-PacificScale & Innovation

Research partnerships focused on large-scale deployment, multilingual AI systems, and cross-cultural educational frameworks.

UniDVS

Distributed Verification Service

A two-layer verification infrastructure ensuring tamper-proof credentials, tokenised academic credits, and audit-ready institutional operations.

Layer 1Regulatory Finality

Primary ledger for regulated institutional outputs with financial or legal consequences.

  • Institutional stablecoin transfers
  • ECTS token issuance
  • Notarised credential registration
  • Cross-institutional settlements
Layer 2Procedural Operations

High-throughput, non-incentivised environment for institutional workflows—cost-free for core academic functions.

  • Credential attestations
  • Course structure updates
  • System-generated audit logs
  • Merkle root anchoring to Layer 1
The Value

Regulatory compliance as competitive advantage

GDPRData Protection

Purpose limitation, data minimisation, and transparency embedded in system architecture

EU AI ActHigh-Risk Compliance

Human oversight, algorithmic transparency, and risk classification built into agent design

BolognaEQF/ECTS Alignment

Cross-jurisdictional credit recognition and qualification framework compatibility

Digital learning experience
Student Experience

Augmentation, not replacement

UniAI preserves institutional roles in administration, teaching, and auditing. The argument extends beyond governance—educational systems contribute as stable, regionally embedded employers.

Student agents provide personalised support while maintaining privacy-first design: explainable outputs, reversible actions, and authenticated confirmation for any consequential decisions.

Digital Assets

Tokenised infrastructure

Institutional StablecoinRegulated Financial Token

Single, jurisdiction-approved digital asset for internal disbursements, tuition payments, and inter-institutional settlements.

FMIAFinSAMiCAMiFID IIAMLD
ECTS TokensAcademic Credentials

Verifiable academic credits aligned with EQF and Bologna Process. Cryptographically immutable, traceable, and recognised across jurisdictions.

EQFECTSENQAAAQBologna
Allocation Plan

Capital allocation

Phase ICore Platform40%
  • Multi-agent architecture
  • UniDVS Layer 2
  • Institutional APIs
  • Compliance modules
Phase IIVerification Layer25%
  • Layer 1 deployment
  • Token infrastructure
  • Stablecoin integration
  • Audit interfaces
Phase IIIConsortium Build20%
  • Partner onboarding
  • White-label instances
  • Cross-border pilots
  • Regulatory approval
ReserveOperations15%
  • Legal & compliance
  • Team expansion
  • Security audits
  • Working capital
Interested?

Access the full details

Register as a qualified partner to view complete technical specifications, financials, and partnership terms.

Not a partner? Contact us for partnership inquiries