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

Execution context engine

Build the evidence an agent needs before it acts.

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

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Capability statusPublic architecture and product previewExact availability, provider support, and control ownership are confirmed in a signed pilot scope
Intent parsing
Hybrid retrieval
Graph expansion
Structured lookup
Model routing
Tool dispatch
Intent

Understand whether a request needs a fact, a workflow, or a decision.

The query engine classifies intent, identifies required systems, and chooses a retrieval plan before context reaches a model.

  • Resolve entities, teams, projects, records, and business vocabulary.
  • Choose between search, graph traversal, SQL-style lookup, or tool action.
  • Adapt routing by user role, workspace, sensitivity, and task.
Retrieval

Combine search, graph, and structured data in one execution path.

Hybrid retrieval lets S/Runtime find relevant documents, related people, source records, metrics, and actions together.

  • Merge semantic, keyword, metadata, and relationship signals.
  • Rank results with freshness, authority, permissions, and workflow state.
  • Return citations and provenance for answers and agent plans.
Routing

Select the right model and tool for the job.

Each request can be routed through approved models, prompts, connectors, and actions based on risk and expected outcome.

  • Balance quality, latency, cost, and compliance by task type.
  • Use fallback routes when systems are unavailable or confidence is low.
  • Use shared policy patterns across the query surfaces in scope.

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.

Every proposed action starts with relevant, permission-aware source evidence.

Agents receive context that is ranked, cited, and ready for action.

Enterprise teams can tune precision, latency, cost, and policy by workflow.

Data access

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.

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Context layer

Resolve company terms, people, permissions, relationships, and current workflow state into context that can be traced back to its sources.

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Intelligence

Connect run traces to accepted outcomes, review decisions, failures, cost, and cycle time so workflow owners can correct specific problems.

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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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