What is Psila.AI?
Psila.AI delivers a state-of-the-art on-premise semantic lakehouse solution designed for organizations requiring complete data sovereignty and control. The platform operates entirely within a company's own infrastructure, eliminating SaaS limitations and ensuring data never leaves the secure environment. This approach addresses stringent compliance requirements while providing unrivaled data intelligence capabilities.
The system leverages a compiling query engine for lightning-fast data processing, combined with ScramDB HTAP Lakehouse and PulsejetDB Vector Database technologies to enable real-time analytics on massive datasets. Custom AI models extract deep semantic understanding during data ingestion, delivering tailored business intelligence without depending on external LLM APIs. The platform offers seamless integration with over 12 diverse data sources through an extensive connector library, unifying complex data landscapes for comprehensive analysis.
Features
- On-Premise Architecture: Maintains complete data sovereignty and control with deployment entirely within your own infrastructure
- Custom AI Models: Extracts deep semantic understanding during data ingestion without depending on external LLM APIs
- Compiling Query Engine: Provides lightning-fast data processing and real-time analytics on massive datasets
- Comprehensive Data Connectivity: Seamlessly integrates data from over 12 diverse sources through extensive connector library
- High-Performance Databases: Built on ScramDB (HTAP) and PulsejetDB (vector) databases designed for AI and analytics demands
Use Cases
- Enterprise data analytics with strict compliance requirements
- Real-time business intelligence from multiple data sources
- Secure data processing for regulated industries
- Custom AI model deployment within private infrastructure
- Large-scale data integration and semantic analysis
FAQs
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How is my data stored with Psila AI?
Your data is stored exclusively within your own on-premise infrastructure using high-performance databases like ScramDB (HTAP) and PulsejetDB (vector). Your data never leaves your premises and is not stored in any external cloud or third-party service. -
Does Psila AI train on my data?
No, Psila AI does not train on your data. Our AI models are customized and designed to run directly on your infrastructure. Your data remains within your secure on-premise environment and is used solely for your analytical and business intelligence purposes. -
Are my data source connections secure?
Yes, your connections to your data sources are secure. Psila AI employs industry-standard secure authentication methods to connect to your data. All data processing and storage occur within your secure on-premise environment. -
How does Psila AI access my data?
Psila AI accesses your data through our comprehensive suite of over 12 connectors. These connectors facilitate the ingestion of data from your various sources directly into your on-premise Psila AI Lakehouse. You configure and control this data flow entirely within your infrastructure. -
Can Psila AI accommodate specific compliance requirements like GDPR or HIPAA?
Psila AI's on-premise architecture provides a strong foundation for meeting various compliance requirements, including regulations like GDPR and HIPAA, by keeping all your data within your controlled environment. We can work with you to discuss your specific industry and regulatory needs.
