Technology
The AI-Native Architecture Behind Synapcores
AI-Native Architecture
Unlike traditional databases that bolt on AI capabilities, Synapcores embeds intelligence at the core. Every component is designed for AI workloads.
Models operate directly on stored data, eliminating serialization overhead for 10-100x performance improvement.
Understands and optimizes embedding operations, vector similarity searches, and ML operations.
In-database model storage, version control, A/B testing framework, and automatic retraining pipelines.
Performance Engineering
Synapcores is engineered for speed through every layer of its design.
Memory safety without garbage collection for predictable, stable performance.
Columnar and vector-optimized layouts with compression-aware processing.
Leverages SIMD, GPU acceleration, and multi-core execution for maximum speed.
Scalability Architecture
From a single laptop to a distributed data center, Synapcores scales with your needs.
Automatic data sharding and distributed query processing with zero-downtime scaling.
Adaptive memory allocation, CPU/GPU workload routing, and automatic index management.
Security & Compliance
Enterprise-grade protection is built into the core of the platform.
Encryption at rest and in transit, row-level security, and AI model access controls.
Differential privacy, data anonymization functions, and GDPR compliance features.