
Power Enterprise AI
With Your Data
AI-powered next-generation columnar in-memory database platform delivering unprecedented speed for complex analytics. Built by Silicon Valley’s top engineers to revolutionize how enterprises process and analyze massive datasets.
Enterprise In-Memory Database
AI-Powered MDX Engine
Our revolutionary Multi-Dimensional Expressions (MDX) engine combines advanced parsing capabilities with artificial intelligence to deliver unmatched query performance and intelligent optimization.
The engine automatically analyzes query patterns, optimizes execution plans, and leverages machine learning to predict and cache frequently accessed data segments, resulting in sub-second response times even for the most complex analytical queries.
Built from the ground up to handle enterprise-scale workloads, our MDX engine supports advanced features like hierarchical dimensions, calculated members, recursive calculation, cross-cube lookup, and complex aggregations while maintaining full compatibility with industry standards.


Performance Engineering
Every component is optimized for maximum throughput and minimum latency. Our engineering team has implemented advanced algorithms for query optimization, memory management, and data compression.
- Vectorized query execution with SIMD instructions
- Advanced compression with dictionary encoding
- Intelligent caching with predictive prefetching
- Lock-free data structures for concurrent access
- Execute query based on compressed data, data decompression is not required
AI & Machine Learning Integration
Native integration of machine learning capabilities directly into the database engine. Our AI framework enables intelligent data processing, automated optimization, and predictive analytics without external dependencies.
- Embedded ML models for query optimization
- Natural language processing for query generation
- Anomaly detection for data quality monitoring
- Predictive caching and resource allocation

Enterprise-Grade Capabilities
Advanced Analytics Engine
Linear Scalability
Seamless Integration
Real-Time Processing
Enterprise Security
Intelligent Optimization
Performance Benchmark Results
Extensively tested against industry leaders with consistently superior performance across all key metrics and real-world enterprise workloads.
Faster Query Processing than SAP HANA
%
Memory Efficiency
%
System Uptime
View Test Report
Query Performance Comparison: MDXPro vs. SAP HANA
| Query | MDXPro | SAP HANA |
|---|---|---|
| Data table: 1.35 million rows, 18 columns. Query accesses 58 formula-based members and needs to compute 8,576 cells. |
670ms | 18s |
| Data table: 9.32 million rows, 50 columns. Query accesses 40 formula-based members and needs to compute 1,260 cells. |
1.6s | 33s |
| Data table: 77.06 million rows, 39 columns. Query accesses 28 formula-based members and needs to compute 75,296 cells. |
1.9s | 43s |
| Data table: 77.06 million rows, 39 columns. Query accesses 16 formula-based members and needs to compute 4,826 cells. |
262ms | 8s |
| Data table: 77.06 million rows, 39 columns. Query accesses 22 formula-based members and needs to compute 11,027 cells. |
2.03s | 31s |
| Data table: 77.06 million rows, 39 columns. Query accesses 20 formula-based members and needs to compute 370 cells. |
406ms | 6s |
| Data table: 77.06 million rows, 39 columns. Query accesses 21 formula-based members and needs to compute 17,644 cells. |
2.09s | 2 |
Ready to Transform Your Analytics?
Get a custom quote for your enterprise multi-dimensional database solution. Our team will work with you to design the perfect architecture for your specific needs.
World-Class Engineering Team
Felipe de Francisco
Co-Founder & CEO
Expert in distributed systems architecture and database optimization with over 15 years building enterprise-scale data platforms.
Stefan Yusuf
VP of Product
Product strategy expert focused on enterprise analytics platforms, user experience design, and market-driven innovation.
Boris Helman
Co-Founder & CTO
Specializes in high-performance computing, vectorized query engines, and advanced compression algorithms for analytical workloads.
Robert Lee
Head of AI
Leading authority on natural language processing, machine learning systems integration, and AI-powered query optimization.
Sean Johnson
VP of Engineering
Deep expertise in in-memory database technologies, columnar storage systems, and enterprise software scalability.
