A governed intelligence layer for search, knowledge, and automation.
The Trenine Solutions Platform connects your internal sources and turns them into a permission-aware system of record for answers, relationships, and workflows—built to satisfy security and operational requirements.
What it solves
Designed for organizations where knowledge is fragmented across tools and access boundaries.
Slow knowledge retrieval
Reduce time spent searching across systems with relevance-tuned retrieval and citations that teams can verify.
Inconsistent answers and drift
Connect sources via a knowledge graph so context stays traceable, versioned, and aligned to policy.
Manual operational workflows
Automate triage, enrichment, and routing with workflow triggers and human-in-the-loop approvals where needed.
AI adoption blocked by governance
Ship AI features with clear boundaries: permission-aware access, auditability, and operational visibility.
Core capabilities
Practical AI/ML features built for production constraints, not demos.
Search teams can trust
- Hybrid retrieval (semantic + keyword) with relevance tuning
- Citations and traceability to source systems
- Permission-aware results aligned to your identity model
- Curated sources and governance metadata for reliability
High-level architecture
API-first components designed for cloud-native deployments with strong governance boundaries.
Connectors & ingestion
Connect docs, tickets, chat, code, and data. Normalize content and metadata with source ownership preserved.
Indexing & retrieval
Hybrid retrieval (keyword + semantic) with permission-aware filtering and citations.
Knowledge graph
Entity and relationship modeling for context, de-duplication, and workflow routing.
Policy & orchestration
Workflow triggers, approvals, redaction, and auditability aligned to enterprise controls.
Security & compliance
Built for enterprise expectations: authorization, confidentiality, and auditability.