Gumloop is the multiplayer AI agent builder. Let anyone at your company build agents with any AI model and any integration, while IT controls access and spend.
I'm aware this sounds very hand-wavy as a description, so let me go line by line to explain what I mean.
“Multiplayer AI agent builder”
- You can build agents collaboratively with your coworkers. Everyone can contribute to improvements, new skills and can add new integrations.
- One agent can be used by any number of people in Slack, Teams, email or in the Gumloop interface. Several people can also interact in a single agent thread.
“Build agents with any AI model and any integration”
- You can choose what model powers your agents. Anything from the frontier models to the open weight options that are as much as 99% cheaper.
- We have over 300 integrations natively supported on Gumloop and give you the ability to connect any external MCP or deploy your own custom MCPs on Gumloop.
“While IT controls access and spend”
Every observability or access control feature an IT leader could ask for is available on our enterprise tier. Role based access control, audit logging, observability via MCP gateway, MCP policy enforcement, analytics across activity and spend, model restriction, VPC on any provider.
These are the six beliefs we're building the product around.
I. You should be in control of your AI spend.
Becoming AI-native doesn't mean spend has to go up and to the right forever. Admins deserve a rollout they can forecast, cap, and justify.
How we make it real:
- Any model
- Model routing across frontier, open-source, and proprietary models means no single vendor's pricing ever holds you hostage.
- Agents that get cheaper over time
- Gumloop agents reflect on and review their own work regularly, hunting for ways to run more efficiently.
- Spend you can see
- Detailed dashboards show exactly where every dollar goes across agents, users, and the organization as a whole.
- Limits
- Per-user and per-agent spend caps mean there is never an outlier spender. Ever.
- Spend projections
- We analyze your usage patterns and show you exactly how your spend will scale over time.
II. You should own your agent's data.
Your agents run on your infrastructure. Their traces are your record. You hold the lock and the key, not your vendor.
How we make it real:
- Your cloud
- Deploy Gumloop in your own VPC.
- Your database
- Through VPC, you own storage outright. That means owning every agent trace, forever.
- Your choice of intelligence
- Frontier, open-source, or your own proprietary models. You decide what powers your agents.
- Your keys, your proxies
- Route your agents' intelligence through your own API keys and your own LLM proxies, and control every dollar behind them.
III. You should see exactly how agents use your company's data.
Every agent runs through a managed authentication layer your security team controls. Every action is logged and accounted for, or blocked if it crosses a line your admins drew. No black boxes.
How we make it real:
- One gateway
- A single MCP gateway is the one place to give every agent access to the tools you use.
- Total tracing
- Every tool call made, logged, and aggregated for humans or analytics agents to review.
- Audit everything
- Every action to create, use, or edit an agent, diligently on the record.
- Analytics agents
- A reasoning agent with its own coding sandbox that can answer any usage or analytics question you have.
- Granular dashboards
- A clear breakdown of everything you need to know about how your people work with agents.
IV. Your agents should have guardrails.
You should feel confident handing an agent sensitive data and powerful tools, because you set the rules first. Rules an agent couldn't break even if it wanted to. Strictly enforced, every time.
How we make it real:
- Human in the loop
- Force your agents to ask approval before specific actions. Get notified in Slack or email, and log on to a queue of approvals after a night of background work, not a mess to clean up.
- App policies
- Admins define exactly which actions are blocked across the organization, or set policy agent by agent.
V. Everyone should be able to automate.
Understanding a task should be the only prerequisite for automating it. The person who knows the work best should be the one who builds the agent around that expertise. Sharing it should take seconds.
The seasoned marketing ops intern. The CRO. The EA. Your most senior engineer. Gumloop makes it easier for every one of them to build.
How we make it real:
- Build by describing
- If you can explain the task in plain language, you can build the agent. No code. No backlog. No waiting on a sprint.
- Templates, not blank pages
- Start from agents built by people who already do the job, then make them yours.
- Dev tools that skip the boring part
- For engineers, the Gumloop SDK, CLI, and MCP handle the internal agent harness. The platform takes care of auth, RBAC, audit logging, MCP gateway, and MCP hosting.
VI. Agents should amplify the impact one person can have.
One person building should move hundreds of people forward. Your best AE should be able to bring everyone else to their level by sharing the agents they built. One tide should lift all boats.
How we make it real:
- Collaboration and teams
- Agents are built to be shared. Teams co-own, run, and improve them together.
- Sharing across mediums
- Publish an agent as a link, drop it into Slack, bring it into an email thread. Embed agents where the work already happens.
- Ease of use
- Running an agent should feel as easy as asking a teammate. No setup. No manual.
Own your agentic future.
Own your spend. Own your data. Own your agents.
Own your agentic future.
Max