Unified Intelligence
for Enterprise Decisions
Resocor transforms fragmented data ecosystems into a single AI-powered intelligence layer— unifying discovery, automation, and real-time analytics for mission-critical operations.
Three Pillars. One Intelligence Layer.
Data Discovery
Intelligent cataloging and semantic search across distributed data sources. Automatically map relationships, lineage, and dependencies.
- Multi-source federation
- Semantic understanding
- Automated lineage tracking
ETL Automation
AI-driven pipeline generation and optimization. Self-healing workflows that adapt to schema changes and data quality issues.
- Zero-code pipeline creation
- Adaptive transformations
- Quality assurance built-in
Real-time Analytics
Stream processing and instant insights with sub-second latency. Predictive models that learn from operational patterns.
- Sub-second query response
- Predictive anomaly detection
- Contextual recommendations
Built for Mission-Critical Industries
Resocor is engineered for enterprises where precision, compliance, and speed are non-negotiable.
Finance
Risk modeling, fraud detection, and regulatory compliance with audit-ready lineage and real-time market analysis.
Manufacturing
Supply chain optimization, predictive maintenance, and quality control through unified IoT and operational data.
Healthcare
Patient data integration, clinical decision support, and HIPAA-compliant analytics for improved care outcomes.
Enterprise Architecture
Core Technologies
- Distributed graph database for semantic relationships
- Transformer-based NLP for data understanding
- Kubernetes-native deployment architecture
- Event-driven streaming with Apache Kafka
Enterprise Features
- Role-based access control (RBAC) & SSO
- End-to-end encryption at rest and in transit
- Comprehensive audit logging & compliance
- 99.99% SLA with multi-region failover
Join the Foundation
We're inviting select enterprises, data architects, and AI researchers to collaborate on shaping Resocor's roadmap and participate in our early access program.