Collect
Bring files, databases, object stores, service logs, MCP resources, and business systems into controlled ingestion.
A Polycracy enterprise intelligence platform
kiLM
Knowledge & Intelligence Lifecycle Management for teams that need governed ingestion, grounded search, graph intelligence, and AI answers inside their own control plane.
Airgap-ready
Built for self-hosted and regulated environments
Grounded chat
Answers cite data, settings, metrics, and graph context
Lifecycle governance
Audit, SBOM, module gates, and retention controls
Brand story
From scattered data to governed intelligence
A short product-story module for the marketing video slot. It is built as an animated web sequence now and can be replaced by a final MP4/WebM asset when the brand video is ready.
Ingest every operational signal
Documents, structured records, images, archives, geospatial files, and service data flow into one controlled pipeline.
Turn raw content into context
Chunking, schemas, classifiers, graph edges, features, and provenance are preserved through the lifecycle.
Answer with evidence
Hybrid retrieval and graph traversal give users grounded responses with citations and policy-aware access.
Govern the lifecycle
Admins manage module gates, reports, audit trails, SBOMs, feedback loops, and deployment posture from one plane.
Marketing assets included in this first pass
- Generated hero artwork for the brand surface.
- Animated video-story module for the overview section.
- Conversion-ready demo and license request flow.
- LLM-style chat experience powered by local kiLM knowledge.
Platform and service
A governed intelligence layer for enterprise data
kiLM connects ingestion, enrichment, retrieval, graph reasoning, and assistant workflows so teams can ask operational questions without losing auditability or deployment control.
Understand
Extract chunks, metadata, entities, relationships, sensitivity classes, feature views, and graph structure.
Retrieve
Blend vector, BM25, graph, visual, and metric signals with policy-aware filtering and citation packs.
Operate
Monitor modules, audits, reports, SBOMs, retention, feedback, and model routing across the lifecycle.
Features and capabilities
Built for teams that cannot treat AI as a black box
Multimodal ingestion
Process documents, office files, archives, images, geospatial data, structured records, emails, and operational streams.
Grounded assistant
Chat with governed tools for documents, metrics, platform settings, related entities, and data-category explanations.
Hybrid retrieval
Combine semantic vectors, keyword search, graph traversal, visual search, and reciprocal ranking for richer recall.
Knowledge graph
Link extracted entities, claims, services, suppliers, incidents, requirements, and lineage into explorable context.
Governance plane
Module gates, RBAC, audit trails, SBOM export, license review, retention policies, and sensitivity controls.
Model operations
Route tasks to local models, manage multimodal workflows, collect feedback, and prepare training datasets.
Capability
Why it matters
Typical user
Airgap and self-hosting
Keep data, models, retrieval, and audit evidence in your environment.
Security, IT, regulated teams
Cite-or-refuse answers
Reduce hallucination risk by tying answers to retrieved evidence.
Knowledge workers, analysts
Lifecycle reporting
Export chat evidence, performance, data inventory, and operational reports.
Operations, compliance
Feedback and training data
Turn user review signals into DPO, SFT, and governance improvement loops.
AI platform teams
Ask kiLM
Questions before the demo call
This first-pass chat runs locally in the browser using curated product knowledge. A production LLM provider can be added after provider approval.
Request a license or demo
Tell us what environment you are evaluating. The form prepares a local request summary and email handoff without sending data to a third-party service.