Governed execution for enterprise AI
Governed execution for enterprise AI
Governed execution for enterprise AI
ContextOne connects the business context, data sources, deterministic controls, and governed memory required to complete real work.
A composable lightweight software layer that improves the accuracy, reliability, and repeatability of any agent, model, or agentic framework.
ContextOne connects the business context, data sources, deterministic controls, and governed memory required to complete real work.
A composable lightweight software layer that improves the accuracy, reliability, and repeatability of any agent, model, or agentic framework.
Business context, connected
Give agents the context of the work.
ContextOne connects business terms, source data, system relationships, policies, and workflow logic so agents can operate from approved context instead of isolated prompts or disconnected records.
ContextOne connects business terms, source data, system relationships, policies, and workflow logic so agents can operate from approved context instead of isolated prompts or disconnected records.
Execution controls
Govern what AI can see and do.
Permissions, policies, approved actions, evaluation gates, lineage, and human oversight run inside the workflow, making AI-enabled work more predictable, auditable, and controlled.
Permissions, policies, approved actions, evaluation gates, lineage, and human oversight run inside the workflow, making AI-enabled work more predictable, auditable, and controlled.
Governed memory
Carry learning from one workflow to the next.
ContextOne captures outcomes, corrections, exceptions, durable facts, and successful paths as governed memory, so each workflow can improve future execution without losing control.
ContextOne captures outcomes, corrections, exceptions, durable facts, and successful paths as governed memory, so each workflow can improve future execution without losing control.
Existing systems
Work across the stack you already have.
ContextOne connects to enterprise data, documents, APIs, tools, and workflow systems already in place, helping teams automate real work without migration or rebuilds.
ContextOne connects to enterprise data, documents, APIs, tools, and workflow systems already in place, helping teams automate real work without migration or rebuilds.
ContextOne Composable Components
01
AI Data Fabric
Activate your data where it lives today.
Zero-copy, in-place access across heterogeneous systems. Entity resolution across disparate source
01
AI Data Fabric
Activate your data where it lives today.
01
AI Data
Fabric
Activate your data where it lives today.
02
Agent Ontology
Your organization, indexed for agents.
Auto-populated graph of business terms, skills, tools, and data. With temporal validity and access control.
02
Agent Ontology
Your organization, indexed for agents.
02
Agent
Ontology
Your organization, indexed for agents.
03
Agent Harness
Deterministic execution delivered at scale.
Stateless runtime with a governed loop. 100K+ concurrent agents with minimal memory footprint.
03
Agent Harness
Deterministic execution delivered at scale.
03
Agent
Harness
Deterministic execution delivered at scale.
04
Memory Engine
Learn once, apply in a feedback loop.
Three learning pipelines: episodic, procedural, semantic. The first time an SME handles an exception is the last.
04
Memory Engine
Learn once, apply in a feedback loop.
04
Memory
Engine
Learn once, apply in a feedback loop.
05
Control Plane
Govern once, apply everywhere safely.
ABAC access control, cryptographic audit, formal logic verification, end-to-end data lineage.
05
Control Plane
Govern once, apply everywhere safely.
05
Control
Plane
Govern once, apply everywhere safely.
Start with the workflow that matters most.
Start with the workflow that matters most.
Run a Value Diagnostic to identify where enterprise AI can create measurable value, what systems and context are required, and which controls need to be in place before you move into production.
Run a Value Diagnostic to identify where enterprise AI can create measurable value, what systems and context are required, and which controls need to be in place before you move into production.
