S/Runtime
Talk to an architect
Abstract enterprise intelligence control plane with luminous agent paths

Platform overview

Give enterprise agents a controlled path from request to action.

Connect approved data sources, check policy at each step, route sensitive writes for review, and keep the record needed to reconstruct 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
Connect systems
Normalize access
Route queries
Resolve context
Orchestrate agents
Measure outcomes
Foundation

Unify fragmented systems without moving the enterprise into a new silo.

S/Runtime creates a secure access plane over SaaS apps, warehouses, collaboration tools, code, tickets, policies, and workflow systems.

  • Indexes content, metadata, relationships, owners, and permissions.
  • Keeps source systems authoritative while exposing one AI-ready surface.
  • Supports search, agents, analytics, and workflow automation from the same platform.
Control

Make every AI path observable, governed, and reusable.

The platform separates retrieval, context assembly, model choice, agent execution, and policy so enterprises can improve each layer independently.

  • Route requests through approved engines and model providers.
  • Apply policies consistently across answers, summaries, and actions.
  • Track quality, adoption, usage, and business impact by workflow.
Scale

Move from isolated AI experiments to a company-wide execution system.

Teams can launch focused agents while the enterprise keeps one foundation for identity, context, runtime control, and automation.

  • Start with high-value departments and expand the graph over time.
  • Reuse connectors, agents, prompts, and governance patterns.
  • Turn every accepted outcome into a stronger operating system for agents.

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.

One architecture for governed work execution across enterprise systems.

Reusable context services that every team can build on.

A shared governance design before, during, and after consequential AI actions.

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.

Open page

Context layer

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

Open page

Agents

Package an objective, permitted context, approved tools, policy checks, and review steps into a workflow with a named owner.

Open page

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.

Talk to an architect