The governed path to AI adoption across your business
Barndoor is the AI gateway that governs every model, connection, and workflow, so your whole company can put AI to work with confidence.
Plugs into the stack you already run.
See all integrations
Anthropic
OpenAI
Slack- GitHub
- Notion
- Jira
- Confluence
- Google Drive
- Gmail
- HubSpot
- Zendesk
- Linear
- VS Code
- Okta
- Snowflake
- Datadog
- Splunk
- GitLab
- Stripe
- Asana
- Figma
- Dropbox
- Box
- Intercom
- MongoDB
- PostgreSQL
Operationalize AI with the right governance
Give your teams access to every model, MCP server, and agent in one AI gateway, then build automations you can actually rely on, governed and distributed by the same policies.
Manage every AI action from one AI gateway.
Agents, clients and automations need to connect to your business applications to provide value. Control every AI action in real time, so you can trust AI with meaningful work across your teams.
With Barndoor, if we know a workflow will follow the same defined process every time and can see exactly what touched it, we can deploy it far more broadly than anything we run today.
You have to give every employee, not just the early adopters, a safe way to build AI skills instead of being left on their own to catch up. Barndoor allows us to feel we can sleep better.
Barndoor AI Gateway
Govern AI and agent access and actions
Set fine-grained access for every user and agent, from role and group down to the individual tool and action. Enforce policies in real time.
- Access by role, group, tool, and individual action
- A dedicated identity profile for every agent
- Policies enforced at runtime, not reviewed after the fact
- AI-ready DLP to protect PII and sensitive data
Optimize AI spend
See and cap AI spend by user, team, and model in real time, with every request automatically routed to the most cost-effective option.
- Real-time spend by user, team, and model
- Hard caps and alerts per user, team, agent and model
- Automatic routing to the most cost-effective model
Track every AI and agent action
See every user and agent's activity, policy enforcement, and spend in one dashboard, backed by detailed audit logs of every AI action, so you can trace exactly what happened.
- One dashboard for every user and agent: activity, policy enforcement, and spend
- Detailed audit logs of every AI action and the policy behind it
- Logs streamed to your SIEM (Splunk, Datadog)
Give every team the tools to delegate to AI
Stand up governed access in days, with every team pulling from one catalog of 100+ MCP servers and models, distributed securely through virtual keys.
- One catalog of 100+ MCP servers and models
- Secure model distribution through virtual keys
- Governed AI access in days, not months
Create and run reliable AI automations
Describe a process and Barndoor turns it into a Blueprint: defined steps that run the same way every time, with AI used only when a step needs judgment.
Precise
Consistent outputs on every run, so teams can trust the result.
Scoped
Inference only when and where you define it.
Fast
Built conversationally in minutes. No nodes to wire or debug.
Shareable
Provision to teams and agents in the apps they use.
Easily build AI automations with defined steps
Example: the request “After sales calls, read Granola notes, analyze with Claude, update Salesforce, and Slack the rep.” becomes a four-step Blueprint: read call notes, analyze the call, update the opportunity, and notify the rep.
Calls the tools you already run
…and any MCP server or OpenAPI spec.
Observable
See every run’s models, inputs, and outputs.
Execute anywhere
Run from Claude, ChatGPT, Slack, and more. No vendor lock-in.
Controlled output
Set the exact schema each step returns.
Controlled context
Pick the data and model for each step.
Ship automations to every team. Govern them all from one gateway.
Connect your automations to your AI gateway and manage access policies, AI-ready DLP, and audit logging from one central place.
- Claude
- Slack
- ChatGPT
- Agents
- API
- Campaign briefBarndoor · Run
- Webinar follow-upBarndoor · Run
- Weekly pipeline reportBarndoor · Run
- Access
- Policy
- DLP
- Audit
- Marketing5 automations
- IT21 automations
- Sales12 automations
- SOC 2 Type II certified
- Zero-trust access controls for every agent and AI request
- Native DLP: protects sensitive data before it reaches a model or MCP server
- Full audit trail of every action and the policy behind it, streamed to your SIEM
Built for enterprise environments
Deploy Barndoor where you need it, with the architecture and controls your organization requires.
Fully managed deployment for fast setup and ongoing updates.
Deploy in your cloud environment to meet security and compliance requirements.
Run entirely within your infrastructure for maximum control and data residency.
Frequently asked questions
What is Barndoor?
Barndoor is an AI gateway. It sits between every model and MCP server your teams use, so every AI request is checked against access and data loss prevention policies, metered against token budgets, and auditable.
Who is Barndoor for?
Barndoor is for teams adopting AI to be more productive and create new value, whether that’s revenue, time saved, or new ways of working. CTOs, VPs of Engineering, platform teams, and AI operations leaders typically put it in place, giving their organization a governed path to safely delegate work to AI, for both people and agents.
When should a company use Barndoor?
As soon as you want to start putting AI to work across the company, developers and business users alike. Barndoor gives you a governed path to manage AI access to models and MCP servers, control costs, and maintain auditability as adoption grows.
Does Barndoor integrate with our existing stack?
Yes. Barndoor works with any model provider and any MCP server, including 100+ Barndoor-hosted MCPs plus any custom or official MCP servers you already use. It also connects to your identity provider (Okta, Azure AD, Google Workspace) and your SIEM (Splunk, Datadog).
How does Barndoor differ from an MCP gateway?
An MCP gateway only routes MCP traffic. Barndoor governs that plus every model you use, all under one identity, policy, and audit layer.
How does Barndoor differ from an LLM gateway?
An LLM gateway only routes and manages traffic to models. Barndoor governs that plus every MCP server you use, all under one identity, policy, and audit layer.
How long does it take to implement?
Most teams are up and running in days. Connect your identity provider, add your models and MCP servers, and set your policies. Traffic starts flowing with logging active from day one.
Is Barndoor secure and compliant?
Yes. Barndoor is SOC 2 Type II compliant, with zero-trust access controls and a full audit trail of every action. Visit our trust center.
The right AI architecture makes adoption safe to scale.