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100+ MCP integrations, such as Slack, Gmail, Salesforce, HubSpot, Notion, and GitHub. Apps without one can use an MCP server, an API call saved as a skill, or the agent browser.
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Gumloop
a multiplayer AI agent builder where anyone at a company builds agents on any model and connected apps, while IT controls access
Who they are and what they are good at
Gumloop calls itself a multiplayer AI agent builder. Anyone at a company describes the work in plain language and gets an agent. IT decides who can use which models and apps.
Agent browser
A Chromium browser on the agent's own hosted computer, not on yours. It signs in with saved logins or a 1Password vault, and hands control to a person for CAPTCHAs.
Triggers and skills
Agents run on schedules or on events described in plain English. Skills are reusable playbooks the team shares.
Approvals
Tool calls can wait for approval, always or only for writes. App Rules gate a call on its actual arguments, such as an email to someone outside the company.
Enterprise
SSO and SCIM, audit logging, model governance, and VPC deployment.
Pricing
Credits. Model usage, connector calls, and browser minutes each spend credits, with an orchestration fee on top. Paid plans can bring their own model keys.
It is good at what most teams need first: lead enrichment, CRM updates, research, support triage, and summaries in Slack.
Where Gumloop stops for messy back-office work
Gumloop reaches as far as its integrations and its browser. A lot of back-office work lives past that line.
Desktop apps
The agent browser works on websites. A Windows ERP, a terminal screen, or a desktop accounting package needs another route.
Systems behind the firewall
An on-premises system is reachable only if IT exposes it to Gumloop's environment, or through a VPC deployment on Enterprise. Most IT teams think hard before doing that for a system of record.
Logins that belong to a person
Saved sign-ins live in a browser profile on the agent's computer. Portals tied to one named person, with MFA on their phone, fit poorly.
Exact rules
Agents can write and run code, which is exact. But the logic lives inside an agent built in chat, not in a table a controller can read and sign off.
LaunchAI works through the screen of any app, on the user's machine or an enrolled agent PC, in sessions that are already signed in. Calculations run as rules with no model call, and every action leaves a screenshot.
Side by side
| Gumloop | LaunchAI | |
|---|---|---|
| Built for | Teams automating work across SaaS and the web | Recurring back-office procedures, including desktop apps |
| Who builds | Anyone, with IT controls | The person who does the work |
| How you build | Describe the work in chat | Talk and show; each step runs live as you build |
| Reaches software through | MCP integrations, APIs, agent browser | The screen of any app, plus an API where one exists |
| Where it runs | Gumloop cloud, or your VPC on Enterprise | The user's machine or an enrolled agent PC |
| Desktop apps | No | Yes |
| Exact rules | Prompt, or code the agent writes | Rules and Tables, no model call |
| Human review | Tool approvals and App Rules | A review step anywhere, source beside the record |
| Evidence | Audit logs on Enterprise | A screenshot of every action |
| Cost unit | Credits plus an orchestration fee | License |
| Speed | Fast on API calls | Human pace per step, the tradeoff for reach |
When to choose Gumloop
- Enriching new leads and writing them to Salesforce or HubSpot.
- Triaging a support queue and posting a summary to Slack.
- Research across the web and SaaS tools, shared as a document or dashboard.
- Many small agents across a company, with IT watching models, apps, and spend.
When every system in the job has an integration and the output is a message or a record, Gumloop is usually faster to build and cheaper per run.
When to choose LaunchAI
- An insurance agency downloads commission statements each month from a dozen carrier portals, under the producer's own login, and matches every line to a policy in a desktop agency management system.
- Producer splits come from a commission table, to the cent, with no model in the math.
- The accounting manager reviews each variance with the statement beside the policy record before anything posts.
- An auditor asks where a number came from, and the answer is a screenshot.
Better together
Let Gumloop own the inbox and the CRM. When a carrier emails that a statement is ready, a Gumloop agent adds a row to a shared sheet. A scheduled LaunchAI run picks up the row, works the portal and the agency system, and writes the result back for Gumloop to post in Slack.
FAQ
Can Gumloop's agent browser run our desktop agency system?
No. It is a browser for websites. A Windows application needs a tool that works on the screen.
Can Gumloop reach a system behind our firewall?
Enterprise customers can deploy Gumloop in their own VPC. Otherwise the system has to be exposed to Gumloop's environment. Ask Gumloop how a VPC deployment fits your network.
How does Gumloop charge?
In credits. Model usage, connector calls, and browser minutes each spend credits, plus an orchestration fee. Monthly credits do not roll over, except on Enterprise.
Can both put a person in the loop?
Yes. Gumloop gates tool calls. LaunchAI puts a review step anywhere in a workflow, with the source document on screen beside the record.
Can LaunchAI do the CRM and Slack parts too?
Yes, through the screen or an API. Gumloop does them without occupying a desktop, often for less.
No prompts. No babysitting. No Integrations.