AI agent builder for teams, with IT-controlled access
Gumloop is a multiplayer AI agent builder for companies to create and deploy AI agents across teams.
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6 AI reviews
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.With Gumloop, users build AI agents on a canvas that supports orchestrating multi-agent workflows. Once built, agents can be summoned in tools like Slack, Microsoft Teams, or Gmail by tagging them, similar to messaging a co-worker, and asked questions or given tasks directly in those channels. Agents can also be configured to run on a recurring basis, such as monitoring social presence weekly, qualifying leads on every form submission, or running security audits every few hours.
The website highlights several prebuilt agent types, including a Data Analysis Agent that answers questions from a data warehouse, a Support Agent that triages bugs and creates tickets, a CRM Agent that manages deals and researches prospects, a Meeting Prep Agent that briefs users before meetings, and a Call Analysis Agent that surfaces objection patterns and coaching insights from call recordings. Gumloop supports connecting to internal and external data sources and does not lock users into a single AI model, listing support for providers such as Anthropic, OpenAI, Gemini, and DeepSeek. On the administrative side, Gumloop offers role-based access control, virtual private cloud deployment, AI model restrictions, usage monitoring with budget controls, audit logging, and support for bringing your own API keys through a proxy. A related component called Gumstack acts as an AI gateway that monitors, audits, and analyzes AI chats, clients, and internal data, tracking MCP clients and servers through a single logging and analytics layer, and can run in Gumloop's cloud or within a customer's own VPC.
Gumloop is aimed at companies looking to let non-engineering staff build and use AI agents while giving IT and security teams oversight over access, spend, and data flow. The website names Gusto as a customer using Gumloop to power agents for sales and support use cases. Pricing details are available on Gumloop's public pricing page, though specific plan costs are not disclosed on the homepage.
Allows users to build autonomous AI agents that handle multi-step tasks and can be chatted with directly from the Gumloop dashboard.
Provides nodes for categorization, scoring, data extraction, and image analysis, with the ability to switch between different AI models.
Uses the Model Context Protocol to dynamically generate custom nodes with AI-written Python scripts that connect to integrations and return exactly the requested data.
Allows an existing workflow to be embedded and reused as a step inside another workflow.
Offers a Chrome extension that lets users record and replay browser actions on any website for scraping and automation tasks.
Enables automations to be triggered programmatically via webhooks and REST APIs for integration into existing systems.
Lets users build automations by dragging, dropping, and connecting modular nodes representing triggers, logic, integrations, and AI actions on a canvas.
Provides a library of over 100 pre-built nodes and integrations for connecting apps, data sources, and AI models into workflows.
Integrates with tools like Salesforce, Apollo, Gmail, Slack, Google Sheets, Zendesk, and Microsoft Teams to automate cross-application workflows.
Lets organizations restrict specific AI models and manage proxy support to ensure workflows comply with organizational policy.
Allows enterprises to deploy Gumloop within their own private cloud environment for additional control and security.
Maintains SOC 2 Type 2 and GDPR compliance to support data privacy and protection requirements for business customers.
Gumloop offers enterprise-grade AI agent orchestration with no public pricing listed on the page; prospects are directed to talk to sales or get started directly.
Real IT controls, real workflow builder, but pricing is a black box and enterprise sales cycle is the tax.
“Gumloop pairs a node-based agent builder with genuine admin guardrails — VPC deployment, SOC 2 Type II, budget controls. One named customer, Gusto, and zero pricing transparency is the catch.”
No pricing page numbers, no free trial, and one named customer — Gusto. That's thin proof for a board memo. The feature set is real though: 100+ prebuilt nodes, MCP-based dynamic node generation, VPC deployment, SOC 2 Type II. That's not vaporware, that's actual security engineering.
Competitively this sits against Zapier's AI features and Microsoft Copilot Studio, both backed by companies that won't disappear. Gumloop's bet is IT-controlled multiplayer building — letting ops people build agents while security keeps veto power. Smart wedge, unproven at scale.
Three questions: does Gumloop survive past this funding round, does "contact sales" pricing hide a painful ramp, and can you show the board results in 90 days without a published trial? Pilot it with one team, one integration, hard 60-day checkpoint. Don't roll it out org-wide on a sales deck alone.
Differentiates from Zapier and Copilot Studio on IT-governed multiplayer building, but adoption proof is limited to one named account.
SOC 2 Type II and VPC deployment make this defensible to a board, but thin public customer base is a fair pushback.
No free trial and contact-only pricing means procurement friction before any agent ships.
Multi-agent orchestration and MCP nodes push beyond simple automation into genuine new capability, not just cost savings.
No funding data disclosed, one named customer (Gusto), category norm for this stage is unproven runway.
Mid-market or enterprise IT teams wanting centralized control over employee-built AI agents.
Skip if you need transparent self-serve pricing or proof at scale before committing budget.
Governance-first agent builder that trades some workflow depth for auditability you can actually defend to security.
“Gumloop bets on IT control as the wedge, not raw agent capability. That's the right bet for regulated orgs, a slower path for teams that just want Zapier-with-AI speed.”
RBAC with scoped credentials, VPC deployment, SOC 2 Type II, Zero Data Retention agreements, Okta SSO — that's a real enterprise security posture, not a checkbox. Gumstack as a separate AI gateway logging MCP clients and servers is the interesting architectural bet: they're building the control plane as its own product, which means it can outlive any single agent framework's shelf life. If Gumstack matures, you get an audit layer across every AI tool in the company, not just Gumloop's own agents.
The canvas plus MCP-generated nodes plus 100+ integrations gets you to Zapier-for-agents territory fast, and multi-model support (Anthropic, OpenAI, Gemini, DeepSeek) avoids provider lock-in at the model layer. But the lock-in shifts to the orchestration layer — three years in, your recurring monitoring/reporting agents and their audit trails live in Gumloop's canvas, not portable IR.
No public pricing, contact-sales only, no free tier — that's an enterprise-procurement product, not a bottoms-up adoption tool like n8n or Zapier.
Sits above Zapier/n8n on governance, below pure-play agent frameworks on model-level flexibility for engineering teams.
Tagging agents in Slack/Teams like a coworker matches how non-engineers already collaborate, per the docs.
100+ prebuilt nodes plus webhook/REST triggers cover most CRM, ticketing, and comms stacks out of the gate.
Gumstack's separate gateway layer suggests governance data can outlive any one agent framework.
MCP-based dynamic node generation and subflows show real orchestration ambition beyond simple triggers.
Companies that need IT-governed, audited AI agents deployed into Slack, Teams, and Gmail at scale.
You're an engineering-led team that wants transparent pricing and code-portable workflows over centralized governance.
Zero public pricing, one named customer, enterprise-only sales motion.
“No sticker price, no tier table, no trial. Procurement starts from zero and negotiates blind.”
No pricing page numbers here. One plan: Contact Sales. Compare Zapier or Make, both with visible per-task tiers under $100/month. Gumloop gives you nothing to anchor against before the call.
TCO is the real question mark. VPC deployment, SSO via Okta, Zero Data Retention agreements — these are enterprise line items, typically $20K+/year add-ons in adjacent categories. Bring-your-own-API-key proxy shifts model costs to your own OpenAI or Anthropic bill, untracked in the base quote. Team of 50, year 3: budget for implementation plus model spend plus the contract itself.
Gusto is the only named customer. SOC 2 Type II and GDPR compliance help security review move faster. No free trial means no way to validate ROI before signing. Audit logging and budget controls exist, but you're trusting a sales deck, not a self-serve number.
SOC 2 Type II and Okta SSO ease security review, but sales-call-only onboarding adds friction.
Enterprise sales-led contracts typically mean annual terms and negotiation, but nothing is public to confirm.
No tiers, no starting price, homepage confirms costs aren't disclosed.
Named use cases like lead qualifying and support triage are measurable, but no trial to test them pre-purchase.
VPC, SSO, and BYO-API-key proxy suggest real add-on costs beyond any quoted base fee.
Enterprises with a procurement team ready to negotiate and a security review already budgeted.
You need a self-serve number to compare against Zapier or Make before looping in sales.
Node-based agent builder with real IT guardrails, but pricing is a black box.
“Gumloop pairs a Zapier-style canvas with RBAC, VPC deployment, and audit logging that actually matters for enterprise rollout. The MCP node generation is the interesting bit — the rest is solid but familiar.”
100+ prebuilt nodes and MCP-based custom node generation via AI-written Python scripts — that's the feature that separates this from a Zapier clone. Subflows for reusable workflow steps is the right call; any team building past 5-6 agents needs composability or the canvas turns into spaghetti fast.
Day-3 reality: tagging an agent in Slack like a coworker is a nice interaction model, but recurring-task debugging (the security audit running every few hours, the weekly monitor) lives or dies on audit logging quality, and that's only described at a high level here. No public pricing page numbers, no free trial — you're demoing with sales before you know if this fits budget.
SOC 2 Type II, GDPR, Okta SSO, zero data retention — that's a real enterprise security checklist, comparable to what n8n's enterprise tier or Retool try to cover. Tradeoff: power for admins, opacity for engineers who just want to prototype without a sales call first.
Slack/Teams tagging and scheduled agents are practical, but no free trial means day-3 usage starts after a sales cycle.
Docs and changelog exist per site capabilities, but no API reference confirmed, which matters for engineers wiring webhook triggers.
MCP-generated custom nodes reduce integration friction, but opaque pricing and contact-sales onboarding add friction before you even build.
Subflows, multi-model support across Anthropic/OpenAI/Gemini/DeepSeek, and MCP node generation give real depth beyond beginner drag-and-drop.
Deploys into Slack, Microsoft Teams, and Gmail plus webhook/REST triggers, fitting existing comms stacks rather than demanding a new one.
Teams with an IT/security function who need agent governance alongside a visual builder.
You want to prototype an agent this afternoon without talking to sales first.
Powerful node canvas for building agents, but you'll never know the price until IT does
“Gumloop looks like Zapier had a baby with an AI agent platform, and the security features are genuinely thought through. Whether it feels good day-to-day is a lot harder to tell from a marketing site with no free trial to poke at.”
No free trial, no free plan, pricing model is just 'contact.' That's fine for a $50k enterprise security tool, less fine if you're a team lead who wants to try building one agent before looping in procurement. The 100+ pre-built nodes and MCP support suggest real engineering depth, and tagging an agent in Slack like a co-worker is a genuinely nice interaction pattern if it works as described.
The admin side is the strongest part on paper — role-based access, VPC deployment, SOC 2 Type II, audit logging. That's the stuff that makes IT stop blocking the tool, which matters more for adoption than any single feature.
But a node-based canvas is homework, not welcome, for the non-engineers this is supposedly built for. Compare that to how Zapier eases people in with templates. Month three, once someone's built the Support Agent and CRM Agent, the payoff is real. Week one is going to depend entirely on how good their onboarding docs actually are, and I can't see that from here.
No pricing page numbers, no free trial. IT loves that. Buyers might not.
“Gumloop's admin story is real — RBAC, VPC, SOC 2 Type 2, budget guardrails. The rest reads like every low-code agent builder pitch since 2023.”
Three tells before I trust the copy. One: 'multiplayer AI agent builder' is a category-defining claim with one named customer, Gusto. Two: pricing is 'contact sales' with zero numbers, no free plan, no trial — high friction for something pitched at 'anyone at a company.' Three: node-based canvas plus MCP plus subflows is Zapier's playbook, n8n's playbook, Make's playbook. Not wrong, just crowded.
What's genuinely solid: SOC 2 Type 2, GDPR, Okta SSO, zero data retention agreements. That's not vaporware language — that's a checklist enterprise security teams actually verify.
Exit portability is the open question. Workflows built on 100+ proprietary nodes and MCP-generated Python scripts don't export cleanly to Zapier or n8n if Gumloop stalls. Webhook triggers help. Full migration wouldn't be quick.
Fair for a company selling into IT: security posture ahead of most competitors, differentiation behind most.
IT-controlled access plus Gumstack's AI gateway/audit layer is a real angle vs. Zapier, less so vs. enterprise players like Microsoft Copilot Studio.
MCP-generated custom nodes and proprietary subflows suggest lock-in; webhook/REST triggers are the only clean exit ramp.
SOC 2 Type 2, GDPR, changelog and blog activity signal a real team; no funding figures disclosed anywhere in evidence.
'Multiplayer AI agent builder' is aspirational branding; feature set maps to real, listed capabilities though.
Node-canvas-plus-integrations pattern mirrors Zapier and n8n, category norm rather than proof of durability.
IT-led enterprises that want centralized governance over agent building and already budget for contact-sales tools.
You want to test-drive with a free tier before looping in procurement.
Common questions answered by our AI research team
Gumloop agents can be deployed to work alongside employees in Slack, Microsoft Teams, and Gmail.
Yes, Gumloop agents can run recurring tasks such as monitoring, reporting, or auditing on a schedule.
Yes, Gumloop lets anyone at a company build AI agents using any AI model.
IT maintains centralized control over access and permissions for Gumloop agents.
Yes, Gumloop lets anyone at a company build AI agents using any AI model and any integration.
Founded
2023Pricing
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Gumloop is a San Francisco-based platform that lets non-technical employees build AI agents and automation workflows using a drag-and-drop interface.