Your data. Your models. Your perimeter.
Retrieval and generative AI that run entirely inside your environment — private VPC, on-premises, or fully air-gapped. No data leaves, no provider sees your queries, and nothing depends on a vendor control plane staying reachable.
Your Data Stays Yours
Unlike cloud-only AI services, Lucenia ensures your intellectual property never leaves your control. Deploy on-premises, in your VPC, or air-gapped environments.
Data Sovereignty
Your data never leaves your infrastructure. And with no cluster to coordinate and no control plane to phone home to, sovereignty holds even where the network does not.
End-to-End Encryption
All data encrypted at rest and in transit. Self-managed encryption keys that you control.
Zero Data Exposure
No training on your data. No model providers see your queries. Complete privacy for sensitive IP.
Audit Logging
Complete audit trails for all data access. Track every query and retrieval for compliance.
Attribute-Based Access Control
Go beyond simple role-based access. Control who sees what based on user attributes, document properties, and contextual factors.
Attribute-Based Access Control (ABAC)
Fine-grained access policies based on user attributes, document metadata, and context.
- User role attributes
- Document classification levels
- Time-based access
- Location-aware permissions
Document-Level Security
Control access at the individual document level, not just index or collection level.
- Per-document ACLs
- Dynamic security trimming
- Inherited permissions
- Security metadata
Field-Level Masking
Redaction enforced by the compliance engine itself â at ingest and again at query time, resolved against the caller’s verified identity rather than trusted to the application.
- GDPR, HIPAA, PCI-DSS, FedRAMP, NIST 800-53 profiles
- Role-based field visibility
- Dynamic redaction at query time
- Per-document audit record
Redaction is enforced by the engine rather than the application. See how the compliance engine works.
Enterprise AI Search & Retrieval
Purpose-built for RAG, generative AI, and intelligent search applications — running on infrastructure you own, with retrieval that understands what was meant.
Meaning-Based Retrieval
Vector search is only as good as the words in the query. Lucenia resolves what a term means through the standards and ontologies your domain already uses, then searches the classes it actually covers — so the right document comes back even when it shares no vocabulary with the question.
- Concept expansion over your ontologies
- Hybrid semantic + keyword fusion
- Fewer tokens sent to the model
- Explainable term resolution
Retrieval Augmented Generation (RAG)
Ground AI responses in your enterprise knowledge. Reduce hallucinations and provide accurate, context-aware answers with full citation support.
- Semantic retrieval
- Hybrid search fusion
- Citation tracking
- Context window optimization
Model Context Protocol (MCP) Server
Native MCP server implementation allows AI assistants to securely search and retrieve from your Lucenia indices with proper access controls.
- Claude integration
- Tool-based retrieval
- Structured responses
- Session management
Custom Model Training
Fine-tune embedding models on your domain-specific data. Train models that understand your industry terminology and context.
- Domain adaptation
- Transfer learning
- Custom tokenizers
- Evaluation pipelines
Geo-Aware Language Models
Location-aware AI that understands spatial context. Combine geospatial search with semantic understanding for geo-intelligent applications.
- Spatial embeddings
- Location-biased retrieval
- Geo-entity recognition
- Regional language variants
Integrate with Leading AI Platforms
Connect to your preferred cloud AI provider. Use managed models while keeping your data in Lucenia.
Amazon Bedrock
Full integration with Amazon Bedrock for access to Claude, Llama, and other foundation models. Use Bedrock embeddings with Lucenia vector search.
- Claude 3.5 models
- Titan Embeddings
- Llama 2 & 3
- Guardrails integration
Google Vertex AI
Connect to Google Vertex AI for Gemini models and embeddings. Native integration with Google Cloud infrastructure.
- Gemini Pro & Ultra
- Text Embeddings API
- PaLM models
- Model Garden access
Azure OpenAI Service
Enterprise-grade Azure OpenAI integration with GPT-4, embeddings, and compliance certifications.
- GPT-4 Turbo
- Ada embeddings
- Azure AD integration
- Private endpoints
Run Models On Your Terms
Full support for open-source models. Run Llama, Mistral, and more with high-performance inference.
Llama Models
First-class support for Meta Llama 2 and Llama 3 models. Run locally or through managed services.
- Llama 3.1 (8B, 70B, 405B)
- Code Llama
- Llama Guard
- Quantized variants
vLLM Integration
High-throughput serving with vLLM. Optimized inference for production workloads with PagedAttention.
- Continuous batching
- PagedAttention
- Tensor parallelism
- Speculative decoding
Local Inference
Run models entirely on-premises. No data leaves your infrastructure for complete privacy.
- Air-gapped deployment
- GPU/CPU inference
- Model quantization
- Edge deployment
Built for the Gen AI Era
Beyond basic retrieval. Lucenia provides the complete infrastructure for building production-grade generative AI applications with enterprise security.
Explore Gen AI FeaturesAgentic Workflows
Build AI agents that can search, reason, and act on your enterprise data.
Streaming Responses
Real-time token streaming for responsive user experiences.
Prompt Management
Template library and version control for production prompts.
Response Evaluation
Built-in evaluation metrics for RAG quality and relevance.
Context Caching
Intelligent caching for repeated retrievals and reduced latency.
Multi-Modal Support
Index and retrieve across text, images, and documents.
Ready to Secure Your AI Infrastructure?
Talk to our enterprise team about protecting your intellectual property while unlocking the power of AI search and retrieval.