Solve the core problems of enterprise data use
01
Fragmented entry points
Employees switch between systems because information entry points are disconnected.
02
Keyword limitations
Traditional search cannot reliably interpret natural-language intent.
03
Complex permissions
Cross-system results must preserve the permissions of every source.
Core Capabilities
Composable capabilities adapt to different organizations, industries and deployment environments.
Cross-source indexing
Collect content from multiple systems and maintain one incrementally updated index.
- Unified index
- Incremental collection
Query understanding
Interpret intent and context without requiring exact keywords.
- Intent
- Query rewriting
Multimodal retrieval
Combine keyword, semantic, vector and image-aware retrieval across formats.
- Semantic search
- Multimodal
Secure result delivery
Apply user, organization and data-level permissions before returning results.
- Access filtering
- Security
Platform Architecture
- Content SourcesBusiness and content systems
- IndexingCollect, parse and maintain unified indexes
- RetrievalQuery understanding and multi-path recall
- ServingPermission filtering and result reranking
- ExperiencePortals, applications and search APIs
Integration Methods
- Connect data through supported connectors, files, object storage or controlled APIs after a technical assessment.
- Integrate with enterprise identity, access and logging systems to preserve existing security boundaries.
Security & Deployment
- Evaluate private, dedicated or controlled cloud deployment according to data sensitivity and network boundaries.
- Confirm access filtering, audit logs, secrets and storage policies before the proof of concept.
Verifiable Evidence & Limits
These are checkable acceptance signals and explicit boundaries—not unverified performance promises.
Acceptance Evidence
- Validate the implementation with traceable sources, permission tests and documented acceptance criteria.
- Measure coverage, update freshness and task completion against an agreed test set.
Capability Limits
- Results depend on source quality, metadata completeness, permissions and update processes.
- High-impact decisions and actions require explicit controls and human review.
Frequently Asked Questions
- How should an organization start with AI Intelligent Search?
- Start with one high-value workflow, a defined user group, known data sources and measurable acceptance criteria, then expand after testing quality and security.