What is the Context Engine?
The Context Engine is Context’s proprietary centralized repository that acts as the core intelligence layer for all AI operations. Unlike traditional Graph RAG approaches, our amorphous model provides superior flexibility and accuracy through dynamic relationship mapping and real-time context adaptation.Centralized Intelligence
Single source of truth for all contextual knowledge and relationships across your enterprise
Amorphous Model
Dynamic relationship mapping that outperforms traditional Graph RAG with flexible remorphing
Local Processing
On-device processing with NPU integration for maximum security and performance
Dual Interface
Powers both Context UI and Background Tasks API through unified architecture
Key Capabilities
Advanced Entity Processing
- Entity Nodes: Dynamic entity recognition and classification
- Relationship Mapping: Complex relationship modeling between entities
- Search Algorithms: Proprietary search and pruning logic
- Remorphing Logic: Real-time relationship adjustment and optimization
Enterprise Integration
- Financial Data Processing: Native support for CapIQ, PitchBook, Bloomberg Terminal
- MCP Framework: Extensible integration with third-party data sources
- Custom Templates: Brand voice training and custom workflow creation
- Continuous Learning: Adaptive accuracy improvements over time
Performance Advantages
- Local Indexing: On-device processing eliminates cloud dependencies
- NPU Acceleration: Leverages Neural Processing Units for optimal performance
- Real-time Processing: Instant context retrieval and analysis
- Scalable Architecture: Supports enterprise-scale deployments
Getting Access
Context Engine is available exclusively to enterprise customers. To get access:Contact Enterprise Sales
Email enterprise@context.ai to discuss Context Engine implementation for your organization
- Assess your specific use case and requirements
- Design custom integration architecture
- Provide dedicated onboarding and training
- Ensure optimal performance for your enterprise deployment