KGNETIC
Operational Intelligence for Self-Storage
We're helping self-storage operators synthesize operational, customer, market, and business information into the context needed to evaluate recommendations and make better decisions. KGNETIC continuously builds enterprise knowledge and operational context from fragmented business information.
FAQs
KGNETIC
How KGENCY is bringing Operational Intelligence to self-storage operators.
What is it?
KGNETIC is an Operational Intelligence product from KGENCY. It continuously synthesizes fragmented operational and enterprise information into enterprise knowledge and operational context. As new information is added to the business graph, KGNETIC recursively updates the relationships, recommendations, FAQs, and axioms that people and AI can rely on to understand the business and make decisions.
Who is it for?
KGNETIC is built first for self-storage operators: businesses managing constrained capacity, occupancy, recurring customer relationships, geographically distributed operations, dynamic pricing, demand, churn, marketing, customer acquisition, and revenue.
How is it different from Business Intelligence?
Conventional BI primarily reports on known data. KGNETIC is designed to keep enriching what the business knows: artifacts point to additional evidence, evidence builds context, and context supports recommendations, decisions, and actions. Our thesis: when a business can continuously expand and refine the context behind its decisions, it can produce better actions and improve measurable outcomes over time.
What can it do for my business?
KGNETIC gives you an AI assistant that can reason about your business. You can upload files into your knowledge base, enrich them with analytics, approved third-party data, and AI-assisted research, generate new artifacts, and build a graph of the relationships between them. KGNETIC uses that evolving business ontology to produce validated recommendations, FAQs, and axioms that people and AI can rely on when making decisions about occupancy, pricing, demand, customer acquisition, retention, and revenue.
What is recursive enrichment?
Recursive enrichment means each artifact can create the next useful question. A customer address can lead to geography, market, demographic, competitor, demand, and pricing signals that expand operational context instead of ending as a static record. The goal is to move beyond what happened and help explain why it happened and what the business should investigate next.
Why self-storage first?
Self-storage is a highly competitive operating environment shaped by constrained occupancy, local demand, dynamic pricing, recurring customer relationships, and fragmented business data. KGENCY is validating the KGNETIC thesis through pilots with self-storage partners: that stronger operational context can become an unfair advantage and contribute to measurable returns over time. If you are interested in participating, join the beta or get in touch.
Apps
GPT, MCP & API
KGNETIC GPT
Explore your self-storage business with KGNETIC using ChatGPT.
MCP
Connect KGNETIC to AI applications that support the Model Context Protocol and give them access to your enterprise knowledge and operational context.
API
Integrate KGNETIC with your products, workflows, and business systems through our developer API.