Retrieval built for the AI era,
not adapted to it
A decentralized mesh instead of a cluster. Retrieval that resolves what you meant, not just the words you typed. Compliance enforced by the engine, and your data never leaving your environment.
"Minimum 40% cost reduction compared to Elasticsearch or OpenSearch"
Lucenia's focused approach to search and observability—without bundling unnecessary features—means significantly reduced licensing, compute, and storage costs for your organization.
The Solution
Clusterless architecture, meaning-based retrieval, and compliance the engine enforces.
Flexible
One engine across on-prem, private cloud, air-gapped, and edge
Secure
SP 800-27 Zero Trust Architecture
FIPS 140-3 Encryption
Production Ready
TRL8 built on the heritage of Elasticsearch and OpenSearch
Lean
40-80% less than incumbents, with no cluster provisioned for peak
Faster
30-40% faster and leaner data structures
Meaning-Based AI
Retrieval that resolves intent, with private, bring-your-own LLMs
The Challenges with Current Solutions
The obstacles are architectural, not incremental — which is why tuning your way out of them rarely works.
Cloud-First Limitations
Many vendors focus exclusively on cloud offerings, leaving on-prem capabilities underdeveloped and costly for organizations with strict data residency requirements.
FOCI Concerns
Foreign Ownership, Control, or Influence (FOCI) issues prevent certain organizations from accessing cloud-hosted services, creating operational barriers.
The Cluster Operations Tax
Sizing, sharding, rebalancing, and protecting a quorum became a discipline of its own — staffed by search administrators and DBAs whose job is keeping the engine healthy rather than using it.
Built Different from the Ground Up
Six architectural decisions, each one made before the first line of code — not retrofitted onto an engine designed for a different era.
No Clusters
A decentralized mesh, not a cluster. Nothing to size, shard, or rebalance — nodes join, serve, and leave, and the system reconciles without a coordinator. Scale to zero is a consequence, not a mode.
Meaning-Based Retrieval
Vector search is only as good as the words you give it. Lucenia resolves what a query means through the standards and ontologies your domain already uses, then searches the classes that term actually covers.
Sovereign by Design
Private VPC, on-premises, or fully air-gapped. Your data, your models, and your infrastructure — with no phone home and no dependency on a vendor control plane.
Policy & Compliance Engine
Redaction enforced inside the engine at ingest and at query time, resolved against the caller’s verified identity. Named profiles for GDPR, HIPAA, PCI-DSS, FedRAMP, and NIST 800-53, or write your own.
Enhanced Geospatial
Geospatial-native indexing and filtering, including complex shape and spatial relationships, so location is a first-class part of retrieval rather than a filter bolted on afterwards.
Zero Tech Debt
Re-architected from the ground up by the creator of OpenSearch, without a decade of accumulated compatibility constraints to carry forward.
Future-Proof Architecture
Lucenia is designed for where the industry is heading, not where it's been. Retrieval is becoming infrastructure that agents depend on continuously — which makes cluster operations, vocabulary-brittle matching, and perimeter-only compliance the three things that break first.
- Clusterless by design — no coordinator, no quorum, no rebalancing
- Meaning-based retrieval that survives the vocabulary mismatch keyword and vector search share
- Compliance enforced inside the engine rather than bolted on at the edges
- Continuous innovation without the burden of legacy compatibility
Security First
Built to meet the most stringent security and compliance requirements, including support for air-gapped deployments and advanced access controls.
Ready to Experience the Difference?
See why organizations are choosing Lucenia for their search and AI retrieval needs.