IndyKite.ai is a context engine platform designed to provide real-time trust, control, and explainability for applications and AI systems. It unifies fragmented enterprise signals — including identity, metadata, provenance, and policies — into a single operational context that is evaluated at the moment of access to determine who or what can access which data, under what conditions, and why. At its core, IndyKite.ai is built on an identity-centric knowledge graph that models actors (humans, machines, and AI agents), data assets (tables, features, embeddings, APIs), relationships (ownership, consent, delegation, usage), and contextual signals (time, location, purpose, trust, identity). The platform addresses a common enterprise problem where context is scattered across IAM systems, data catalogs, MDM tools, security tools, and policy documents. IndyKite.ai consolidates these into a unified engine that applications and AI systems can query in real time. The platform includes three products: - AgentControl: Dynamic security and access control for autonomous AI agents. - ContX IQ: Contextual query engine for accuracy and control. - Knowledge Based Access Control (KBAC): Fine-grained authorization for data, AI, and dynamic users. Key operational outcomes include continuous compliance, auditable context, and access controls that apply uniformly to humans, machines, and AI agents. The platform is designed so that security and compliance can be enforced without constraining application development.