One platform to see, control, and optimize every agent across your organization—regardless of framework or team.
Universal Control Plane
Centralize visibility and control for your entire agent fleet.
See every agent across your organization in one dashboard. Know what's running, what's failing, and what needs attention.
Define policies once, apply them everywhere. Consistent governance across LangChain, CrewAI, AutoGen, and custom agents.
Track token usage, API costs, and compute spend across your entire agent fleet. Set budgets and get alerts before you overspend.
Most enterprises have agents scattered across 5+ teams using 3+ frameworks. Nobody knows what's actually running.
Each team builds their own agents with their own frameworks. No central visibility means no central control.
Each team implements their own logging, rate limits, and error handling. Policies are enforced unevenly—or not at all.
You can't secure or optimize what you can't see. Siloed agents mean siloed risk and duplicated costs.
Visibility is just the start. We partner with you to turn observability into optimization.
We analyze your current workflows and identify the highest-ROI opportunities for agentic automation.
Our architects build your agents on the AgentControlLayer platform, ensuring security and scalability.
We deploy to production and train your team on how to manage the Human-in-the-Loop approval flows.
We stay on as your AgentOps partner, reviewing logs and optimizing prompts weekly to prevent drift.
We focus on teams who already ship or operate agents and now need a proper AgentOps control plane.
Product and platform teams adding agents into their SaaS products—support bots, onboarding agents, lead routing, and other embedded workflows.
Central teams that support multiple agent use cases across the business and need one place to control prompts, policies, and observability.
Shops that build agents and workflows for clients and want to offer them as reliable, audited services instead of one-off scripts.
Under the hood, AgentControlLayer is a full AgentOps control plane: a workflow engine, agent identity system, and observability layer that treat agents as first-class principals.
A LangGraph-powered workflow engine with schema-based IO, support for multi-agent patterns, and built-in Human-in-the-Loop nodes so you can pause, review, and resume critical steps.
Agents are treated as their own principals with permissions, histories, and versions—not just prompts in code. This aligns with emerging best practices from Google/Kaggle and others.
Designed to support Promptsmith-style atomic prompt boxes and AI-assisted reviews of prompts and workflows so you can continuously improve quality without losing control.
Common questions about centralized agent control.
We're framework-agnostic. LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and custom Python/TypeScript agents all work. If it makes API calls, we can manage it.
Define policies (rate limits, allowed tools, cost budgets, etc.) in the AgentControlPlatform UI. Policies are pushed to all connected agents via our SDK or proxy layer automatically.
Yes. AgentControlPlatform provides org-wide visibility with team-level RBAC. Admins see everything; team leads see their scope. No more scattered dashboards.
Three options: (1) Add our SDK wrapper (2 lines of code), (2) Route traffic through our proxy, or (3) Use our native integrations for popular frameworks.
One AgentOps control plane to build, secure, and observe your agent fleet.
Stop pasting strings into code. Our visual Prompt Builder UI allows you to design, test, and version complex prompts with variables, conditional logic, and model comparisons side-by-side.
Treat agents as first-class citizens with their own IAM roles. Manage permissions, enforce budget limits, and maintain complete audit trails of every decision your AI makes.
Bring DevOps discipline to LLMs. Version control your entire agent configuration—workflows, prompts, and RAG settings. Implement Human-in-the-Loop (HITL) checkpoints before critical actions.
Ready to deploy agents that actually work? We are accepting a limited number of enterprise clients for our Managed Agent Program. Get a custom roadmap, a dedicated AI Architect, and access to the AgentControlLayer platform.