Data Infrastructure

Swissi
Data

Central data hub for enterprise AI — curated datasets, governed access, and verified data products

Capital NeedCHF 2M
StagePre-Seed
LocationSwitzerland
The Vision

Swissi Data is the central data hub of the Swissi Group. Our team of Data Scientists and Data Engineers prepares, curates, and governs datasets—providing verified data products through APIs that serve as the single source of truth for all AI operations.

"Data is the foundation of every AI system. Without governed, high-quality data, even the most sophisticated models fail. Swissi Data ensures that every AI company in our ecosystem builds on a foundation of trust."— Swissi Data Founders

Market

Enterprise AI initiatives fail due to fragmented data sources, inconsistent quality, and lack of governance. Organizations struggle to maintain data lineage, ensure compliance, and provide secure access at scale.

Solution

Unified data lakehouse with enterprise-grade governance, automated quality controls, and API-first access. Pseudonymization, audit trails, and compliance-ready data products for internal AI training and external licensing.

The Problem

Fragmented enterprise data

Enterprise AI adoption is held back by data chaos. Siloed systems, inconsistent formats, missing governance, and compliance uncertainty prevent organizations from leveraging their most valuable asset.

  • Data silos: critical information trapped in incompatible systems with no unified access layer
  • Quality gaps: inconsistent data standards lead to unreliable AI model outputs and decisions
  • Governance void: missing audit trails, access controls, and compliance documentation
  • Monetization barriers: valuable data assets cannot be licensed without proper infrastructure
The Solution

Enterprise data platform

01Data Lakehouse

Unified storage combining data lake flexibility with warehouse performance. Structured and unstructured data in one governed environment.

  • Unified data architecture
  • Real-time and batch processing
  • Schema evolution support
02Data Governance

Complete metadata management, data lineage tracking, quality monitoring, and compliance documentation built into every operation.

  • Automated data cataloging
  • End-to-end lineage tracking
  • Quality rule enforcement
03API-First Access

Self-service API portal for data product consumption. Metered access, usage tracking, and automated billing for internal and external consumers.

  • Self-service API keys
  • Usage-based metering
  • Real-time access control
Data Products

Curated datasets for AI

Swissi Data provides verified, compliance-ready datasets for AI training and finetuning. Each data product comes with full documentation, quality metrics, and usage rights for both internal Swissi companies and external licensees.

01Training DataAI Development

Curated datasets for foundation model training with verified provenance, quality scores, and compliance documentation.

02Finetuning DataDomain Adaptation

Domain-specific datasets for model specialization across finance, healthcare, legal, and education verticals.

03Reference DataEnterprise

Master data sets for customer, product, and market reference with automated synchronization and versioning.

04Enrichment DataValue-Add

Third-party data integration with standardized formats, quality validation, and license management.

05Synthetic DataPrivacy-Safe

AI-generated datasets that preserve statistical properties while eliminating privacy concerns for sensitive use cases.

06Benchmark DataEvaluation

Standardized test datasets for model evaluation, comparison, and continuous performance monitoring.

The Architecture

Enterprise-grade data infrastructure

01Data Catalog

Comprehensive metadata management with automated discovery, classification, and documentation. Full searchability across all data assets.

  • Automated schema detection
  • Business glossary integration
  • Data steward workflows
02Data Quality

Continuous quality monitoring with automated validation rules, anomaly detection, and quality scoring for every data product.

  • Rule-based validation
  • ML-powered anomaly detection
  • Quality trend dashboards
03Pseudonymization

Privacy-preserving data transformations with reversible pseudonymization, k-anonymity, and differential privacy techniques.

  • GDPR-compliant processing
  • Configurable privacy levels
  • Audit trail for all transforms
04Access Control

Fine-grained access management with role-based permissions, data masking, and complete audit logging for compliance.

  • Column-level security
  • Row-level filtering
  • Complete access logging
Market Opportunity

Enterprise data platform market

CHF 120BTAM by 2030

Global enterprise data platform and data marketplace market

CHF 25BSAM

AI-focused data infrastructure and curated data products for regulated industries

CHF 1.5BSOM Year 5

Addressable through Swissi ecosystem and external enterprise licensing

Traction

Development progress

01
Data LakehouseIn Development

Unified storage layer with governance-first architecture and multi-tenant isolation

02
Data CatalogArchitecture Complete

Metadata management system with automated discovery and lineage tracking

03
API PortalPlanning

Self-service data access with usage metering, billing integration, and key management

04
ISO 27001Scoping

Information security certification preparation for enterprise data operations

Revenue Model

Diversified revenue streams

Revenue flows from data product subscriptions, API usage, dataset licensing, and premium support—serving both internal Swissi companies and external enterprises.

Full financial projections available after login
Data SubscriptionsAccess to curated data products with SLA-backed availability
Monthly/Annual
API UsageMetered access to data APIs with tiered pricing
Per-call/Volume
Dataset LicensingTraining and finetuning data licenses for AI development
Per-dataset
Premium ServicesCustom curation, enrichment, and priority support
Contract-based
Value Creation

Projected outcomes

Strategic value as the data foundation for all Swissi AI companies, combined with external licensing revenue and platform scalability.

Year 3Internal adoption and first external license agreements
2.5x
Year 5Full ecosystem integration and scaled external revenue
6x
Reference CaseInternal planning benchmark
40%
Allocation Plan

Capital allocation

Phase IData Platform40%
  • Lakehouse infrastructure
  • Data catalog system
  • Governance framework
  • Quality automation
Phase IIAPI & Portal25%
  • Self-service portal
  • Metering system
  • Billing integration
  • Documentation
Phase IIIData Products25%
  • Dataset curation
  • Quality assurance
  • Compliance review
  • Partner onboarding
ReserveOperations10%
  • ISO certification
  • Legal & contracts
  • Team expansion
  • Working capital
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