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THE OPERATING FOUNDATION FOR ENTERPRISE AI

Put AI agents to work without losing control.

Give AI agents the context to understand how your company operates. Stara turns company intelligence into governed execution, controlling how work moves across approved models, tools, and environments while keeping important actions reviewable and reversible.

Built for technology, data, security, and operations leaders moving AI from experimentation into meaningful business operations.

AI agents don’t know how your company operates.

AI initiatives break down when they reach sensitive data and meaningful business operations. Without company context, organizational rules, and clear accountability, agents produce inconsistent work, expose sensitive knowledge, and create more fragmentation.

Give AI the right context.

Connect company knowledge, systems, and workflows so agents understand how your business actually operates.

Protect what makes your business unique.

Control what agents can access, where your data can go, and how sensitive knowledge is used.

Keep important actions accountable.

Make high-impact work attributable, reviewable, and reversible before it affects your business.

The Stara Control Plane

Control how AI operates.

BUILT BY SOFTWARE, INFRASTRUCTURE, AND PRODUCT LEADERS WITH EXPERIENCE AT
HOW STARA WORKS

Give AI the intelligence to work the way your company does.

Stara brings together your company’s knowledge, decisions, and operating boundaries, then applies the right context and controls before each step is allowed, routed, reviewed, or blocked.

01

Give every agent trusted company context.

Stara assembles current, permission-aware knowledge from your existing systems and approved decisions. Each workflow receives the relevant history, terminology, and operating context without exposing everything to every agent.

02

Apply your rules before work happens.

Every request is evaluated for identity, evidence, data sensitivity, permissions, and policy before data moves or a tool runs. Requests outside approved boundaries are blocked or sent for human review.

03

Intelligently route every step to the best approved path.

Stara uses company context and operating boundaries to determine which routes are eligible, then selects the best approved model and environment based on quality, cost, and latency. Every routing decision is recorded so teams can understand where work ran and why.

Connect Stara to the tools your company already uses.

Connect the business applications, data systems, infrastructure, and AI providers behind each workflow. Stara brings them into one governed operating layer so your company can use AI without creating another isolated technology stack.

INSIDE THE STARA CONTROL PLANE

Scale AI without rebuilding control.

Stara provides a shared foundation for context, policy, routing, and observability, so every new AI workflow does not require your team to rebuild the same controls from scratch.

Carry company intelligence into every workflow.

Turn organizational knowledge, workflow history, and approved decisions into current, permission-aware context that can be reused across AI workflows.

Organizational memory
Workflow context
Knowledge synthesis

Turn organizational rules into operating boundaries.

Apply policies for access, privacy, compliance, approval, and execution before AI can use sensitive information or take consequential action.

Policy enforcement
Privacy controls
Compliance boundaries
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Coordinate every approved execution path.

Determine which approved models, tools, and environments can handle each workload, then select among eligible paths based on policy, data sensitivity, quality, cost, and latency.

Multi-model execution
Hybrid infrastructure
Intelligent allocation
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Keep every important outcome accountable.

Trace the context, policy decisions, execution paths, outputs, costs, revisions, and approvals behind every important workflow.
Workflow telemetry
Spend visibility
Operational analytics
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Start with one governed AI workflow.

Work with Stara to define the context, boundaries, review points, and evidence required for meaningful work.

Discuss your first workflow