Pricing for safe autonomous AI deployment

Start with one agent workflow. Scale into runtime safety infrastructure across tools, data, teams, and domains.

Developer Preview

For builders validating one high-risk AI workflow locally before they wire a team into production.

FreeNo overage. Upgrade when you need production telemetry.
  • Local runtime gateway
  • Pre-action review scenarios
  • Basic dashboard
Popular
Team

For startups shipping AI agents, automations, and internal tools with real data, systems, and production workflows.

$499 / month$8 per extra 100k checks
  • Everything in Developer Preview
  • Live production dashboard
  • Multi-model monitoring
Custom

For engineering, infra, and security teams that need private deployment, compliance support, and buying-process readiness.

CustomCustom volume agreement
  • Everything in Team
  • SSO/SAML and RBAC
  • VPC or on-prem deployment
Comparison

Choose based on deployment stage

PlanDeveloper PreviewTeamCustom
Best forOne workflowProduction teamsPrivate deployments
Runtime checks100 / month1M / monthCustom volume
DashboardBasicFull operator viewPrivate deployment
ControlsManual demo setupPolicies, incidents, modelsSSO, RBAC, policy approvals
SupportCommunityEmail supportDedicated onboarding
FAQs

Questions before you choose a plan

Pricing should map to how much runtime control your agents need, not how many prototypes you have.

What counts as a runtime check?

A runtime check is one proposed agent action reviewed by LatentOps before execution, such as a tool call, file edit, API request, database operation, message send, or production-facing change.

Can we start with one workflow?

Yes. Most teams should begin with one high-impact workflow, validate the policy and approval path, then expand the same control layer across more agents and tools.

Do you support human approval flows?

Yes. Sensitive or ambiguous actions can be escalated instead of executed automatically, with the decision and surrounding evidence recorded for audit.

Is the Custom plan for private deployments?

Custom plans are intended for teams that need higher volume, private deployment, SSO, RBAC, custom policy approval flows, or dedicated onboarding.

What happens if an action is unsafe?

Depending on policy, LatentOps can block the action, rewrite it into a safer form, escalate it for approval, or allow it with recorded evidence.