AI Data Plane
Give Every AI Decision The Right Data Without Losing What It Means
Keep operational truth, retrieved evidence, calculated features, Context Assembly, memory, durable state, cache, and evidence distinct while governing them through the same identity, scope, purpose, version, freshness, and provenance model.
Give AI, policy, people, and applications a consistent way to understand what each piece of information represents, where it came from, and how it may be used.
Keep every data role explicit throughout the decision lifecycle
An AI application can work with many forms of information at the same time: operational truth, calculated facts, retrieved evidence, governed knowledge relationships, memory, cache, durable state, context, and evidence.
Frozion gives those responsibilities explicit roles inside the AI Data Plane instead of treating all of them as generic context.
Benefit: Give AI, policy, people, and applications data that carries the meaning needed to use it correctly.
One Data Plane. Different data responsibilities.
The AI Data Plane provides a shared application architecture across distinct data roles.
Keep current business data connected to the application.
Build the exact governed context required for each decision.
Reuse calculated facts without losing their definition, entity, time, freshness, version, source, and provenance.
Explore Feature Store
Find knowledge within the application's permitted scope
Enterprise knowledge applications need more than similarity search. Frozion combines retrieval methods while preserving the application boundary around them.
Tri-Hybrid Retrieval: Lexical + Vector + Graph
Lexical retrieval
Find exact names, identifiers, phrases, terminology, codes, and keyword matches.
Semantic retrieval
Find conceptually relevant information even when wording differs.
Graph retrieval
Follow governed relationships among entities, documents, business objects, APIs, taxonomies, and ownership.
Give each application a governed knowledge view
A single unrestricted enterprise graph is rarely the right knowledge surface for every application. Different applications, agents, users, tenants, and purposes may need different governed views of the same underlying enterprise information.
Benefit: Let the same enterprise information participate in different applications without exposing one unrestricted global knowledge graph.
Explore Knowledge Graph & RetrievalKeep operational truth, context, state, and memory distinct
A vector index is useful for finding information. It should not silently become the authoritative state of the business.
Operational truth
What the application currently knows to be business state.
Retrieved evidence
Information selected because it is relevant to the current question.
Calculated fact
A derived value with a definition, version, entity, and time.
Knowledge relationship
A governed relationship connecting enterprise information.
Context
The package of eligible information assembled for a decision.
Memory
Prior information that may be useful again under explicit reuse rules.
Durable state
The authoritative execution state controlling what happens next.
Cache
A reusable prior result governed by scope, freshness, purpose, and version.
What changes when each data role keeps its own semantics
Keep long-running application state durable
AI applications increasingly operate across minutes, hours, days, or longer. They wait for people, callbacks, documents, approvals, scheduled events, downstream systems, retries, and reconciliation.
The Durable State Store preserves current execution position, waits, event correlation, approval state, operation identity, attempts, version references, migration references, recovery state, and replay state.
Explore Durable Execution
Preserve provenance from information to outcome
The Data Plane keeps relationships among operational facts, retrieved evidence, features, context, policy, approvals, execution state, actions, effects, and resulting evidence as the application runs.
Benefit: Explain what information influenced a decision without correlating records afterward.
Explore Provenance & Lineage
Explore the AI Data Plane
Start with the capabilities that keep information meaningful from data to decision to evidence.
Give every decision governed data with durable meaning
Map one AI application and identify which data roles must remain explicit before information shapes a decision or appears as evidence.