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FleetFleet
Enterprise

AI agents are entering your codebase.
Fleet makes sure your security team is OK with that.

Data plane on your infrastructure; your source code stays private. Full audit trail on every agent decision. Full run tracking on every agent.

Zero trust, zero network exposure, zero data leakage

Fleet was designed from day one to meet the strictest security requirements.

Single binary

One binary. No network dependencies, no supply chain risk.

Nothing to patch, no supply chain to audit

No cloud calls

Your source code stays private. Your code and agents run on your infrastructure.

Your code stays on your machines. Dashboard at app.fleetctl.ai.

SQLite embedded

No external database server. Data lives in a single local file.

No database server to secure or maintain

Unix sockets only

All IPC via Unix domain sockets. No TCP ports, no network exposure.

No open ports. Nothing for attackers to find.

Data sovereignty

Claude Code's model backend is configurable — use the Anthropic API directly, or point it at Amazon Bedrock / Google Vertex to keep model traffic in your own cloud. Your source code stays private; the dashboard receives operational metadata + usage metering, never code.

Your source never leaves your cloud boundary

No JS/Docker runtime

No Node.js, no Docker daemon, no container orchestration needed.

Minimal attack surface, minimal maintenance

Compliance frameworks

Designed to support regulatory requirements out of the box with built-in governance and audit capabilities.

Data sovereignty

Supported

Run the model via Bedrock/Vertex in your own cloud. Your source code stays private; the dashboard receives operational metadata + usage metering, never code.

Audit trail

Built-in

Designed to support SOC 2, ISO 27001, and internal audit logging requirements

Run tracking

Built-in

Per-agent cumulative run time, session counts, and time-based limits

Agent quarantine

Built-in

Automatic isolation of agents exhibiting anomalous behavior

Approval gates

Built-in

Human-in-the-loop controls at any stage of the agent workflow

Role-based access

Built-in

Org hierarchy with department and team-level scoping

Deployment options

Run Fleet wherever your infrastructure demands. No containers, no cloud accounts required.

Data plane on your infrastructure

The Fleet binary and agents run on your machines. Dashboard and analytics at app.fleetctl.ai.

Restricted egress

Lock outbound traffic to just the services you connect — your model backend (Bedrock/Vertex or Anthropic), GitHub, and any work-item provider (Linear/Jira). No other network dependencies.

Managed

Coming Soon

Let us handle infrastructure, updates, and monitoring. Focus on building, not operating.

Enterprise governance

Full organizational control over your AI fleet with hierarchical oversight and policy enforcement.

  • Org hierarchy with CEO, CPO, CTO, department heads, and repo-scoped developers
  • Role-based access control across org and repo tiers
  • Per-agent run tracking with cumulative time and session counts
  • Complete audit trail via unified fleet log with decision history
  • Pipeline approval gates with rejection routing and retry logic
  • Agent quarantine for isolating misbehaving agents instantly

Deep observability

Continuous monitoring, evaluation, and risk assessment across your entire fleet.

6-dimension eval scoring

Task output, reliability, quality, efficiency, collaboration, and cost scoring on every agent run.

Risk model

8-feature risk model predicts agent failures before they happen.

Unified fleet log

Chronological timeline merging events and activity across all repos.

Anomaly detection

Real-time analysis of agent behavior for automatic quarantine.

Enterprise support

White-glove support from engineers who understand fleet orchestration at scale.

Dedicated engineer

A named support engineer who knows your deployment inside and out.

SSO via Auth0

Single sign-on for the Fleet dashboard via Auth0. Supports SAML, OIDC, and social providers.

99.99% dashboard SLA

Fleet dashboard (app.fleetctl.ai) guaranteed uptime with dedicated response channels.

Training

Onboarding workshops and ongoing enablement available on request.

Architecture review

Architecture reviews to optimize your fleet topology and pipelines.

Volume pricing

Custom per-slot pricing for large deployments. Contact us for details.

Talk to our team

Tell us about your fleet requirements and we'll get back to you within one business day.

No automated follow-up sequences.

We'll respond within one business day. Or email us directly at sales@fleetctl.ai