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AI Space

Context and control that put enterprise AI to work

Workspace to assemble and govern the
context and tools AI use cases need

Why it matters

Every AI use case needs two things.

Business Context

  • What the business means
  • How entities relate
  • What rules apply
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Analytical Tools

  • How to investigate
  • How to reason
  • How to act

AI Space brings both together for every use case

Governed, scoped and ready for your agents

Business Context

The knowledge AI uses to understand your business

Business Relationships
Business entity relationships
Causal graphs
Business policies reference
Unstructured Knowledge
Incident records
Pricing policies
Operating playbooks
Semantics
Metrics
KPIs
Dimensions
Hierarchies
Governance
Data security
RBAC
Observability
Versioning

Analytical Tools

Proven analytical patterns and agentic workflows AI can orchestrate

What AI can do
Root cause analysis
Anomaly detection
Trend analysis
Forecasting
Recommendations
How it does it
SQL generation and execution
Graph traversal
Knowledge lookup
Web search
Code generation

See how semantics, knowledge and business relationships come together to give AI a complete understanding of your business

Context for AI

Context-aware agent,
purpose-built for enterprise data scale

Dialogs

How it works

Create

Set up an AI Space. Add semantic models and business relationship objects. Register the analytics tools agents can use.

Connect

Connect your agent to the AI Space over MCP. It can access only the knowledge and tools you explicitly allow.

Run

At query time, the AI Space serves precise, governed context — so every response stays accurate and in bounds.

Continue Exploring

AI Accuracy

See how deep business context improves AI accuracy in production

Token Savings

Discover how precise business context reduces AI token consumption

FAQs

What is an AI Space in Kyvos?
A workspace where you assemble the business context (semantic models, unstructured knowledge, business knowledge graphs) and tools a specific AI use case needs, to ensure trusted, governed and controlled execution.
Does every AI use case need its own AI Space?
Yes. Each AI Space is scoped to a specific use case, giving AI agents access only to the business context and tools they need.
What does Kyvos AI Space contain?
It combines business context (derived from semantic models, unstructured knowledge, and business knowledge graphs), and analytical tools (such as SQL generation, graph traversal, knowledge base lookup, code generation and web search).
Can AI agents connect to an AI Space?
Yes. AI agents connect to an AI Space through MCP and receive only the approved context and analytical capabilities assigned to that use case.
How does an AI Space improve AI accuracy?
An AI Space grounds every AI interaction in trusted business context and proven analytical workflows. This helps AI reason consistently, follow business rules and generate reliable, explainable answers.
Does Kyvos control what data an agent can reach?
Yes, governance is built into the AI Space. Data security and access permissions are applied before AI queries data, ensuring secure, compliant and traceable responses.

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