The IndyKite Platform
Scale enterprise AI with confidence
IndyKite.ai delivers runtime context, control, and explainability for applications and AI.
IndyKite transforms signals into live enforcement context
This context is evaluated at the moment of use to determine who or what can access which data, under what conditions, and why.
Context computed, enforced, and auditable in real time.
Signals:
Identity
Metadata
Provenance
Policies
Move from systems of record
to systems of intelligence
In most enterprises, context exists but it's scattered:
IndyKite.ai continuously answers:
IndyKite unifies signals into a single operational context engine that every application and AI system can rely on
An identity-centric knowledge graph that models all
- Actors (humans, machines, AI agents)
- Data assets (tables, features, embeddings, APIs)
- Relationships (ownership, consent, delegation, usage)
- Contextual signals (time, location, purpose, trust, identity)
Where security, compliance and innovation reinforce each other
Trust is operational, not advisory
Context is computed in real time, not preconfigured
Identity, data, and policy are modeled together, not integrated loosely
Controls apply to humans, machines, and AI equally
Operational trust enforced at the moment it matters
Data becomes instantly usable and governable
AI systems operate safely by design
Compliance is continuous and provable
Innovation is no longer constrained by security controls
Products
AgentControl
ContX IQ
Knowledge-based Access Control
IndyKite Tags
Learn more about the features and core capabilities here
Dive deeper into how it works
Experience the power of real-time, trusted data
Apply live context and control to enterprise AI
