See how organizations use Dobby to govern, monitor, and scale their AI agent fleets.
Your engineering team runs agents from CrewAI for code review, LangChain for documentation, and custom Python agents for testing. Without Dobby, each framework has its own dashboard, its own cost tracking, and its own approval flow.
Unified dashboard for all agents — one place to see activity, costs, and status
Approval gates before production deployments — no rogue agent pushes
Per-agent cost tracking with budget alerts at 80%, 90%, 100%
Immutable audit trail for every agent action — SOC 2 ready
Your security team needs to demonstrate control over AI agent activity for SOC 2 and GDPR audits. Every agent action must be logged, every LLM call tracked, and sensitive data must stay within regional boundaries.
Regional data residency (IL/EU/US) — data never crosses boundaries
Enterprise SSO with 7 providers (Okta, Azure AD, Google Workspace, etc.)
Kill-switch stops all agent activity in under 5 seconds
DLP policies redact PII before it reaches LLM providers
You started with a few agents for internal tasks. Now customers want their own agent workspaces with isolated data, separate budgets, and custom policies. Manual management breaks at 10+ agents.
Multi-tenant workspaces with complete data isolation per customer
Token budgets prevent any single tenant from exceeding limits
Gateway routes LLM calls through the cheapest suitable provider
Agent marketplace lets you deploy proven templates in one click
Your platform team supports multiple product teams, each using different AI frameworks. You need a single pane of glass to monitor health, manage access, and enforce consistent policies across all agents.
Connect agents via A2A protocol, MCP, REST, or webhooks — any framework
3-level RBAC (Platform, Organization, Tenant) with 6 granular roles
Automated agent health checks every 5 minutes with Slack alerts
FinOps dashboard with per-agent, per-provider, and per-user cost breakdown
Start free — no credit card required. Deploy your first agent in minutes.