P3 Data
Verified Truth
Verified data infrastructure providing a new Source of Truth for AI providers worldwide
P3 Data creates the infrastructure for verified, immutable data that AI systems can trust. In a world where AI hallucinations and data poisoning threaten enterprise adoption, we provide cryptographically verified data with provenance tracking from source to consumption.
"AI is only as good as its data. We're building the Source of Truth that enterprise AI demands."— P3 Data Team
AI providers need trustworthy data. Current data sources lack verification, provenance tracking, and regulatory compliance—creating liability for enterprise AI deployments.
DAG-verified data infrastructure with immutable provenance. Every data point cryptographically signed, timestamped, and traceable—enabling compliant AI training and inference.
Part of the P3 Ecosystem
P3 Data is Phase II of an integrated energy venture. It provides verified market intelligence to P3 Energy for AI-powered trading, and supplies operational data infrastructure to P3 Electricity—ensuring data integrity across the entire value chain.
P3 Energy
Intelligent energy trading powered by artificial intelligence
P3 Electricity
Solar, wind, and waste-to-hydrogen production facilities
P3 Data represents Phase II—the verified intelligence layer connecting trading and production.
AI's data integrity crisis
Enterprise AI adoption is blocked by fundamental data trust issues. Without verified data sources, organizations cannot deploy AI for high-stakes decisions in finance, healthcare, or legal applications.
- AI hallucinations cost enterprises billions in bad decisions and regulatory fines
- Data poisoning attacks can manipulate AI outputs without detection
- No audit trail for AI training data creates compliance liability under EU AI Act
- Synthetic data pollution degrades model quality across the industry
Core Capabilities
Three pillars of verified data infrastructure for enterprise AI.
Every data point cryptographically signed at source with hardware attestation. Immutable proof of authenticity that travels with the data.
- Hardware security modules
- Cryptographic signatures
- Tamper-evident packaging
Complete audit trail from data creation through every transformation to final consumption. Know exactly where your AI training data came from.
- DAG-based lineage
- Transformation history
- Access logging
Automated quality scoring and anomaly detection. Identify synthetic data pollution, bias patterns, and data drift before they affect your models.
- Synthetic detection
- Bias monitoring
- Quality scoring
P3 Ecosystem Integration
P3 Data serves as the verified data backbone for the entire P3 ecosystem, enabling trustworthy AI applications across energy, trading, and infrastructure.
Verified data infrastructure providing a new Source of Truth for AI providers worldwide
AI-powered energy trading platform consuming verified market and production data
Sustainable energy generation providing verified production data to the ecosystem
Data Sources
- Energy Production DataReal-time generation metrics from verified IIoT sensors
- Market DataVerified price feeds and trading volumes from regulated exchanges
- Weather & Grid DataAuthenticated environmental and infrastructure telemetry
Data Consumers
- AI Training PipelinesVerified datasets for model training with full provenance
- Real-time InferenceAuthenticated data streams for live AI decision-making
- Regulatory ReportingAudit-ready data exports for compliance documentation
Technical Architecture
Ingestion Layer
- 01Hardware attestation gateways
- 02Cryptographic signing at source
- 03Real-time validation
- 04Schema enforcement
Verification Layer
- 01DAG-based immutable storage
- 02Merkle proof generation
- 03Cross-reference validation
- 04Anomaly detection
Distribution Layer
- 01Authenticated APIs
- 02Streaming data feeds
- 03Compliance exports
- 04Access control
Market Opportunity
Global market for AI training data and data services by 2027
Premium segment for compliance-grade verified data
Enterprises citing data quality as top AI deployment barrier
Traction
Core cryptographic verification and provenance tracking system
First production deployment as data backbone for energy trading
Immutable storage layer leveraging Swissi DLT
Conversations with AI providers and enterprise data consumers
Revenue Model
Access to verified datasets for AI training
Real-time verified data streams for inference
Third-party data verification and certification
Self-hosted verified data infrastructure
Federated Data Infrastructure
Our research applies non-cooperative game theory and formal mechanism design to coordinate distributed data infrastructure. We prove that under bounded multipliers and corridor constraints, Nash equilibria exist and best responses are monotone.
The framework addresses four equilibrium domains — computational, energy, monetary, and network — enabling sovereign, ESG-compliant infrastructure that scales without sacrificing auditability or regulatory alignment.
Swissi Authors: Prof. Dr. Walter Kurz, Wojtek Stricker, Prof. Dr. Velimir Dedić
Allocation Plan
- Verification protocol
- DAG integration
- API development
- Security audit
- Sensor partnerships
- Data provider integrations
- Quality systems
- Compliance tools
- Enterprise pilots
- AI provider partnerships
- Sales team
- Documentation
- Infrastructure
- Legal & compliance
- Team expansion
- Working capital
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