The same information, rebuilt repeatedly
A new agent or application starts another cycle of data discovery, normalization and entity matching.
Platform › Context Compiler
BUILD ENTERPRISE CONTEXTContext Compiler
Your enterprise, continuously understood.
Turn data scattered across enterprise systems into one continuously evolving understanding of your business. Context Compiler combines enterprise information with built-in industry knowledge, giving your applications, agents and decisions the context they need to operate.
OpenKnowra Context Compiler
WHY CONTEXT COMPILER MATTERS
Your next AI use case should not start from scratch.
Enterprise AI initiatives repeatedly reconnect systems, reconcile the same entities and reinterpret the same business rules. Context Compiler turns that repeated work into reusable enterprise understanding.
Data without business meaning
Connected records still leave applications to interpret relationships, dependencies, policies and operational conditions.
Answers without the full situation
Retrieval or model output may miss the live enterprise state needed for a consequential decision.
Build the enterprise understanding once as a reusable foundation, then keep it current as the business changes.
How your enterprise becomes decision-ready
OpenKnowra connects your existing systems, adds industry understanding, resolves what the information means and keeps that understanding current as the business changes.
- 1Connect your enterpriseConnect applications, databases, documents, events and agents without rebuilding the systems you already use.
- 2Bring industry knowledgeStart with built-in domain concepts, relationships and business structures, then extend them to reflect your enterprise.
- 3Make sense of your dataResolve identities, connect relationships and combine enterprise information with domain meaning.
- 4Keep the understanding aliveMaintain live enterprise context that evolves with events, decisions, transactions and outcomes.
Optional model assistanceInvoke a suitable language or specialized model to interpret unfamiliar information or enrich context when needed, without making the model the source of enterprise truth.
Four capabilities. One continuously evolving enterprise context.
From connecting enterprise systems to understanding industry relationships and maintaining live business context, each capability adds intelligence that can be reused across the enterprise.
The shiftRepeated integration projects for applications and AI use cases→Reusable enterprise connections that serve context, decisions, agents and applications
CONNECT
Adaptive Data Fabricator and A2A Connector
Connect enterprise systems and agents without rebuilding integrations for each use case.
Connect enterprise systems, clean and normalize their data, resolve entities and relationships, and make the resulting information reusable across the platform.
- Adaptive Data FabricatorIngest, clean, normalize, deduplicate and resolve enterprise information across sources.
- A2A ConnectorConnect participating agents so they can exchange governed context and coordinate work.
The shiftBuilding business definitions and relationships from scratch for each AI initiative→Starting with reusable domain understanding that adapts to the enterprise
KNOW
Domain Ontology and Knowledge Graph
Your industry is understood before your first use case begins.
Start with built-in industry and domain knowledge that defines business concepts, relationships, structures and rules, then extend that foundation to reflect how your enterprise operates.
- Domain OntologyBuilt-in business concepts, attributes and relationships that define the domain.
- Domain Knowledge GraphReusable domain intelligence that connects those concepts into meaningful business relationships.
The shiftRepeated model calls to rediscover enterprise information and interpret business meaning→Models invoked selectively while enterprise understanding remains reusable
OPTIONAL MODEL ASSIST
Model Gateway
Use AI models where they add value, not where enterprise context already provides the answer.
OpenKnowra can use open, closed or specialized models when new information needs interpretation or enrichment, while keeping enterprise context, business logic and governance independent of the model.
- Pluggable ModelsChoose LLMs or specialized models based on the task and enterprise requirements.
- Cost-Aware RoutingSelect models based on capability, cost and policy.
- Independent Enterprise IntelligenceKeep business context and approved decision logic outside the model.
The shiftData, documents and relationships repeatedly assembled for each decision→One governed, evolving enterprise understanding reused across applications, decisions and agents
UNDERSTAND
Enterprise Context Graph
A living understanding of your enterprise, not another database of information.
Continuously represents what is happening across your enterprise, how entities and events are connected, which obligations apply and what has changed, giving decisions and agents a shared, governed view of the business.
- Live Enterprise ContextConnects entities, relationships, dependencies, obligations and current enterprise state.
- Evidence and LineagePreserves where information came from and how it relates to the business.
- Continuous EvolutionEnriches context as data, events, decisions, actions and outcomes change.
Build context once. Use it across your enterprise.
Enterprise context becomes a reusable source of business understanding for applications, agents, decision systems and people, without each consumer reconstructing it.
Connect through APIs
Make governed enterprise context available to applications, AI agents and decision systems through APIs.
Ask questions of your data
Use Talk to Data to ask business questions against enterprise context, including through an embeddable experience where enabled.
Export for downstream use
Consume context through structured API or JSON outputs, with additional formats available where supported.
Build decisions and agents
Use the same governed enterprise understanding with Logic Controller, Action Builder or your existing technology stack.
Less rebuilding. Faster readiness. More controlled AI.
The business value comes from reusing enterprise meaning and live context across many decisions and use cases, not creating another isolated data asset.
Reduce repeated engineering
Reuse integration, entity resolution, business meaning and relationships across new applications and AI use cases.
Accelerate decision readiness
Give decision systems a current view of the business without reconstructing context for each request.
Make AI adoption more controllable
Provide agents and models with governed, relevant business context while retaining enterprise control over access and use.
Actual business impact depends on source complexity, use cases, integration scope and operating conditions.
See what changes when enterprise context is connected.
The same underlying capability can support different enterprise decisions because it connects the facts, relationships and operating conditions that matter.
Today
Service dependencies, incidents, ownership and change history sit across systems.
With Context Compiler
Connected service, asset and incident context supports more informed diagnosis and governed resolution decisions.
Today
Supplier, contract, performance, risk and operational data must be assembled separately.
With Context Compiler
One contextual view connects suppliers, obligations, delivery risk and current business requirements.
Today
Customer interactions, products, service quality and commercial signals remain fragmented.
With Context Compiler
Live customer context supports more relevant recommendations and subsequent actions.
Illustrative applications. Outcome metrics depend on the enterprise deployment and decision workflow.
More than connected data. Context your enterprise can act on.
Context Compiler works with existing enterprise technology, adding a persistent understanding of business meaning, relationships and live state where those capabilities are missing.
Existing technologyWhat it does wellContext Compiler adds
Data integration and lakehouseConnected, processed and accessible data.Domain meaning, resolved relationships, changing business state and reusable decision context.
Enterprise search and RAGRetrieval of relevant information.Connected entities, obligations, current state and situation-aware context.
Graph databaseGraph storage and graph query execution.Prebuilt domain understanding, contextualization, governed evolution and decision-ready consumption.
Semantic layerConsistent business definitions and measures.Operational relationships, obligations, evolving state and cross-functional context.
Agent memoryInformation retained for one agent or interaction.Shared, governed business understanding reusable across agents and applications.
Keep the enterprise technology that works. Give it a shared, evolving context foundation.
Questions teams ask about Context Compiler
Talk to usWhy do we need Context Compiler if we already have a data platform?
Data is not yet decision context.
Data platforms store, process and make enterprise information available. Context Compiler builds on that foundation by connecting entities, relationships, business meaning, obligations and current state for downstream decision systems and agents. Existing data platforms can remain in place.
Start with context. Build as far as your business needs.
Use enterprise context directly, build business decision logic on top of it, or create agents and workflows that carry those decisions into enterprise operations.
Context CompilerLive enterprise context, continuously evolving.Connect your systems, apply domain understanding and create reusable enterprise context for applications, agents and decisions.Start building context →Logic ControllerTurn business logic into contextual decisions.Apply approved business rules, policies, constraints and priorities to live context to rate alternatives and recommend appropriate decisions.Explore Logic Controller →Action BuilderPut governed decisions into action.Build and coordinate agents, digital workers and business assemblies that execute decisions across enterprise systems within policy and authority.Explore Action Builder →