Metadata
Dynamic Ontology
AI-generated and continuously updated domain ontology that understands your entities, concepts, categories, and relationships.
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The Kiku Intelligence Platform
Kiku unites ontology-aware search, intelligent ingestion, metadata governance, and model-agnostic agent orchestration within the Kiku Intelligence Platform. For high-complexity B2B environments such as manufacturing, high technology, and utilities, these building blocks create a secure, privacy-conscious foundation where governed organizational memory compounds across every application.
Ingestion
Files, calls, meetings, APIs, databases, and event streams.
Intelligence core
Ingestion, ontology, search, metadata, and agent orchestration.
Experiences
Customer service, live support, and enterprise memory products.
Feature index
Jump to the platform capabilities that matter most.
Each section below maps directly to one of the core platform capabilities defined in the v2 specification.
AI
Agentic Resolution Flow
Self-learning workflows that orchestrate multi-step resolutions using real-time context and retrieval.
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Intelligent Ingestion
AI-driven ingestion from web, files, APIs, and databases, normalizing and enriching content as it arrives.
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Hybrid Search
Combined semantic and keyword retrieval at scale, enhanced by ontology and metadata for deep relevance.
Explore Hybrid SearchAI
AI Agent Harness
A model-agnostic framework for building specialized agents and integrating them into your stack.
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Metadata Framework
Flexible metadata modeling and filtering that flows consistently across every Kiku application.
Explore Metadata FrameworkAnalytics
Analytics Showcase
Governed analytics reveal search behavior, content gaps, and operational signals across the platform.
Watch Analytics ShowcaseDynamic Ontology
A domain model that keeps learning with your business.
Kiku’s Dynamic Ontology feature builds and maintains a custom enterprise domain ontology automatically using AI. It continuously learns about your entities, concepts, categories, and relationships as new content and signals arrive.
Ontology Bootstrapping
Analyze existing content and metadata to propose an initial domain model of entities, attributes, and relationships.
Continuous Learning & Refinement
Update the ontology as new documents, meetings, and interactions are ingested, avoiding brittle manually curated taxonomies.
Ontology-Aware Retrieval
Improve recall and precision, understand synonyms, and bridge natural language queries to structured knowledge.
Core concept
Entities + concepts + relationships
Ontology bootstrapping
Continuous refinement from new content
Ontology-aware retrieval
Agentic Resolution Flow
Self-learning workflows for complex issues.
Agentic Resolution Flow orchestrates multi-step resolutions that adapt to issue type, user profile, channel, and retrieved knowledge, while preserving human control.
Contextual Workflow Generation
Build resolution paths that depend on issue type, user profile, channel, and retrieved knowledge.
Feedback and Outcome Learning
Learn from which paths resolve issues fastest and which steps create friction, continuously refining flows.
Human-in-the-Loop Control
Allow agents to override, branch, or annotate flows, capturing expert knowledge for future automation.
Core concept
Branching guided workflows
Generate paths from issue context
Learn from completed outcomes
Keep agents in control of overrides
Intelligent Ingestion
Bring every source into one retrieval-ready system.
Intelligent Ingestion brings content from disparate sources into the Kiku Platform using AI to normalize, enrich, and prepare it for retrieval.
Multi-Source Connectors
Ingest from web, files, APIs, and databases with consistent pipelines.
Content Normalization & Chunking
Normalize formats, segment content into retrieval-ready units, and attach metadata.
Enrichment & Quality Signals
Add semantic tags, entities, and quality or relevance signals for smarter retrieval and analytics.
Core concept
One ingestion fabric
Web, file, API, and database connectors
Normalization and chunking
Enrichment and quality signals
Hybrid Search
Semantic and keyword retrieval fused for enterprise precision.
Kiku blends semantic similarity, lexical matching, ontology awareness, and metadata filters so search behaves like an enterprise analyst instead of a plain vector store.
Semantic + Lexical Blending
Blend vector-based semantic similarity with keyword and field-based matching, tuned to your domain.
Ontology & Metadata-Aware Ranking
Disambiguate terms, boost important entities, and filter results using ontology and metadata.
Enterprise-Scale & Secure
Scale to millions of documents while enforcing strict RBAC filtering at query time.
Core concept
Semantic + lexical fusion
Blend vector and keyword matching
Rank with ontology and metadata
Enforce RBAC at query time
AI Agent Harness
Model-agnostic agents grounded in governed knowledge.
The Kiku Agent Harness is a framework for building and orchestrating specialized AI agents on top of your governed knowledge, without locking you into one model vendor.
Model-Agnostic Execution
Use your preferred LLMs and AI services while Kiku handles routing and orchestration.
Knowledge-Grounded Agents
Force agents to ground reasoning and outputs in retrieved content rather than hallucinating.
Composable Tools & Actions
Give agents structured tools like retrieval, updates, and workflows under strict policies and RBAC.
Core concept
Specialized grounded agents
Route across preferred model providers
Ground outputs in governed knowledge
Compose tools and actions safely
Metadata Framework
Consistent metadata across content, search, and applications.
Kiku’s Metadata Framework provides flexible, powerful metadata modeling across all applications and content types so one governance model can shape many experiences.
Schema Definition & Governance
Define metadata schemas per domain, content type, or application.
Consistent Filtering Across Apps
Apply the same metadata filters in customer service, live chat, internal KM, and analytics.
Metadata Expansion via AI
Use AI to suggest and expand metadata, improving retrieval, analytics, and routing.
Core concept
Shared enterprise metadata
Govern schemas by domain
Apply filters consistently across apps
Expand metadata with AI assistance
Governed Analytics
See platform analytics and knowledge signals in action.
This analytics walkthrough shows how Kiku surfaces governed usage signals, content performance, and operational patterns so teams can improve retrieval quality, identify resolution friction, and manage the platform with confidence.
Kiku analytics walkthrough
A screen-share tour of the active analytics experience, highlighting how the platform exposes measurable intelligence for search, content health, and operational improvement.