S/Runtime
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Abstract enterprise intelligence control plane with luminous agent paths

Unified data access

Let agents use enterprise data without outrunning source permissions.

Resolve the current user and source ACLs before retrieval, limit fields by policy, and preserve lineage for the records and documents included in a run.

Talk to an architect Platform overview
Capability statusPublic architecture and product previewExact availability, provider support, and control ownership are confirmed in a signed pilot scope
Source adapters
Identity mapping
Metadata sync
Permission checks
Freshness signals
Retrieval APIs
Access

Normalize enterprise systems into one trusted retrieval surface.

Connect collaboration tools, CRM, ITSM, engineering systems, data platforms, and internal applications through a shared access model.

  • Preserve document, record, table, thread, and ticket-level permissions.
  • Represent ownership, system lineage, source freshness, and data sensitivity.
  • Expose consistent APIs for search, assistants, agents, and analytics.
Security

Resolve who can see what before any answer is assembled.

Identity mapping and source permissions run through retrieval, ranking, summarization, and agent execution.

  • Evaluate permissions at query time using live identity context.
  • Mask or exclude sensitive fields before they reach a model.
  • Retain scoped evidence for consequential retrieval paths and responses.
Freshness

Keep AI grounded in the current operational state.

The access layer tracks updates, deletes, ownership changes, and workflow state so agents do not act on stale context.

  • Prioritize recently updated and business-critical signals.
  • Detect source sync gaps and retrieval coverage issues.
  • Use metadata to explain why a result was included.

Set the limits before the agent runs.

Choose the permitted models, connectors, data scopes, tools, approval owners, and evidence requirements for this workflow.

Judge the system by the work it completes.

Teams ask once and reach the systems they are already allowed to use.

Security teams keep source-of-truth permissions intact.

Builders get a clean access API instead of dozens of brittle integrations.

Integrations

Bring knowledge, records, workflows, and actions from everyday enterprise systems into one secure AI platform.

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Execution context

Combine search, graph, structured lookups, and tool results into a cited context package for one business decision or action.

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Security

Check identity, permissions, data policy, model policy, and action scope during the run, then retain the evidence required for review.

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Architecture session

Bring one consequential workflow. Leave with a governed agent blueprint.

We will map the context, systems, decisions, controls, actions, and success measures together.

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