AI fleet management built for the enterprise
Deploy, orchestrate, and govern hundreds of AI coding agents with enterprise-grade security and control.
Security-first architecture
Fleet was designed from day one to meet the strictest security requirements. No network exposure, no external dependencies, no data leaks.
Single binary
One Go binary. No network dependencies, no supply chain risk.
No cloud calls
Zero telemetry, zero phone-home. Your code never leaves your infrastructure.
SQLite embedded
No external database server. Data lives in a single local file.
Unix sockets only
All IPC via Unix domain sockets. No TCP ports, no network exposure.
Air-gapped support
Runs fully offline. No internet connection required at any point.
No JS/Docker runtime
No Node.js, no Docker daemon, no container orchestration needed.
Compliance frameworks
Meet regulatory requirements out of the box with built-in governance and audit capabilities.
Air-gapped
SupportedAudit trail
Built-inBudget enforcement
Built-inAgent quarantine
Built-inApproval gates
Built-inRole-based access
Built-inDeployment options
Run Fleet wherever your infrastructure demands. No containers, no cloud accounts required.
Self-hosted
Deploy the single Go binary on your own infrastructure. Full control, zero external dependencies.
Air-gapped
Run in fully disconnected environments. No internet required for installation or operation.
Managed
Coming SoonLet 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 budget enforcement with cumulative cost tracking
- Complete audit trail via unified fleet log with decision history
- Pipeline approval gates with rejection routing and retry logic
- Dry-run mode for validating agent behavior before production
- Agent quarantine for isolating misbehaving agents instantly
Deep observability
The Brain daemon provides 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.
Logistic regression risk model
8-feature risk model predicts agent failures before they happen.
Unified fleet log
Chronological timeline merging fabric events and activity events across all repos.
Agent output parsing
Real-time parsing and analysis of agent terminal output for anomaly detection.
Built for scale
Fleet handles hundreds of concurrent agents with deterministic performance.
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 / SAML
Single sign-on integration via Auth0 or your identity provider of choice.
99.99% uptime SLA
Guaranteed uptime with dedicated response channels and escalation paths.
Training
Onboarding workshops and ongoing enablement for your engineering teams.
Architecture review
Quarterly architecture reviews to optimize your fleet topology and pipelines.
Quarterly business reviews
Regular check-ins on adoption metrics, cost efficiency, and roadmap alignment.
Talk to our team
Tell us about your fleet requirements and we'll get back to you within one business day.