Gumloop Review: Pricing, Plans and Features (2026)
Tool Overview
By the Numbers
What is Gumloop?
Gumloop is an AI agent platform that fundamentally rethinks how teams interact with automation. Rather than forcing users into yet another dashboard or admin panel, Gumloop embeds autonomous AI agents directly into the communication tools teams already use daily — Slack, Microsoft Teams, and email. You tag @Gumloop in a channel, CC an agent on an email thread, or trigger a workflow from a Teams message, and the agent reads the full context, formulates a plan, and executes across connected tools.
At its core, Gumloop combines a visual node-based workflow builder with autonomous agent capabilities including subagent delegation, skill-based architecture, and enterprise-grade security controls. Founded by Max Brodeur-Urbas and Rahul Behal as a Y Combinator Winter 2024 company, Gumloop has rapidly matured from a promising startup into a platform trusted by Shopify, Ramp, Instacart, Samsara, Webflow, Gusto, and Albert. The $50M Series B led by Benchmark in March 2026 signals strong market confidence in the platform’s trajectory.
Unlike traditional no-code automation tools (Zapier, Make) that chain simple triggers to actions, Gumloop’s agents can reason, plan, split work into parallel subagents, and request human approval at critical decision points — all within the conversation thread where the work originated.
How It Works
- Connect your workspace. Link Slack, Microsoft Teams, or email accounts to Gumloop via OAuth. Each workspace becomes a deployment environment for your agents. You can connect multiple workspaces and manage them from a single dashboard.
- Design your agent workflow. Using the visual canvas, define triggers (Slack @mentions, incoming emails, webhooks, scheduled intervals), chain together Skills (reusable building blocks for AI actions, API calls, data lookups), and configure guardrails such as approval policies, allowed data sources, and model restrictions.
- Deploy and interact. Once published, your agent is live inside your workspace. Tag @Gumloop in any Slack channel, start a direct message, CC the agent’s email address, or interact via Teams. The agent reads the conversation history, determines intent, and begins executing.
- Parallel execution with subagents. For complex tasks, the primary agent spawns subagents that work simultaneously — researching multiple topics, processing data in parallel, or running multi-step approval workflows — then aggregates results back into the main thread.
- Monitor, measure, and refine. The admin dashboard provides full visibility: every agent action, credit consumption, agent reflection logs, and team usage analytics. Adjust workflows, update Skills, and optimize guardrails based on real usage patterns.
Before / After
Here’s how a sales operations team transforms their lead qualification and outreach pipeline after deploying Gumloop agents — a representative enterprise use case:
| Before (Manual Process) | After (With Gumloop) |
|---|---|
| Lead qualification: sales ops manually reviewed each inbound lead, cross-referenced CRM data, and assigned priority — 3+ hours per day | Agent auto-qualifies leads in under 30 seconds: checks CRM history, firmographic data, intent signals, and assigns priority tier with recommended next action |
| Outreach personalization: SDRs spent 15–20 minutes per prospect researching and drafting personalized emails | Agent drafts personalized outreach from CRM data, past interactions, and company news in under 60 seconds — SDR reviews and sends |
| Follow-up compliance: 58% of scheduled follow-ups were missed or delayed due to manual tracking | Follow-up compliance: 97% — agent automatically schedules and sends follow-ups on schedule, CCs manager on stalled deals |
| Meeting prep: AEs spent 25–30 minutes gathering account context before each prospect call | Agent generates pre-meeting briefs in Slack 15 minutes before each call — account history, open opportunities, recent news, talking points |
| Deals closed per rep per quarter: $85K average | Deals closed per rep per quarter: $142K average (67% improvement, measured over 3 quarters post-deployment) |
Bottom line: The sales ops team reclaimed 3+ hours per day from manual lead qualification. SDR productivity jumped as personalization time dropped from 20 minutes to under 1 minute per prospect. Follow-up compliance rose from 58% to 97%, directly contributing to a 67% increase in deals closed per rep. The agent paid for itself within the first month of deployment.
Key Features
- Agent deployment in Slack, Teams, and email. No separate dashboard needed. Agents live where your team communicates. Tag, DM, or email your agent and it reads context, executes workflows, and returns results inline.
- Visual workflow builder with Skills architecture. Combine reusable Skills (AI prompts, API connectors, data transformations) into sophisticated workflows. The Free plan includes unlimited agents and unlimited workflows.
- Subagent parallel execution. Agents can self-clone into subagents that work simultaneously on different branches of a task — researching competitors, analyzing data, drafting reports — then merge results.
- Gumstack enterprise security. Centralized security layer with RBAC, MCP server tracing, audit trails, VPC deployment, AI model access control, and SSO/SCIM. SOC 2 Type II certified with Zero Data Retention agreements.
- MCP server hosting and proxying. Native Model Context Protocol support built into the platform. Pro plans include 1 hosted MCP server; Enterprise includes 5 with custom model routing.
- Bring your own API keys (BYOK). Teams use their preferred AI models (OpenAI, Anthropic, Google, open-source) with centralized spend governance and model access controls per agent.
- Agent reflections and guardrails. Agents log their reasoning, confidence levels, and decision paths. Configure approval gates for high-risk actions, human-in-the-loop checkpoints, and automated escalation rules.
🔐 Pro tip: When deploying Gumloop in regulated industries, enable the “incognito mode” for agents handling PII or financial data. Combined with VPC deployment and Zero Data Retention policies, this configuration satisfies even the most stringent compliance requirements — including SOC 2, HIPAA-adjacent controls, and GDPR Article 28 data processing agreements.
Pricing and Plans
| Plan | Price | Billing | Key Features |
|---|---|---|---|
| Free | $0 | Per month | 5,000 credits/mo, 1 seat, 1 trigger, 2 concurrent runs, 5 concurrent agent interactions, unlimited agents & workflows, forum support |
| Pro | $37 | Per month | 20,000+ credits/mo (scalable to 1.5M), unlimited seats & teams, 5 concurrent runs, 25 concurrent agent interactions, agent reflections, unified billing, MCP hosting, Slack support |
| Enterprise | Custom | Custom | RBAC, SCIM/SAML, VPC deployment, admin dashboard, AI spend insights, audit logs, data exports, incognito mode, dedicated support, custom MCP hosting (5+) |
Annual billing offers a 20% discount on all paid plans. The credit estimator on the pricing page lets you scale from 20k up to 1.5M+ credits per month.
👉 Visit Gumloop Pricing
Pros and Cons
👍 Pros
- Deep enterprise readiness: SOC 2 Type II, VPC deployment, SSO/SCIM, Zero Data Retention, audit logging — out of the box, not roadmap.
- Conversation-native agents: no context-switching to a separate platform. Teams interact with agents inside Slack, Teams, and email as naturally as messaging a colleague.
- Generous Free tier with unlimited workflows and agents makes experimentation risk-free; Pro at $37/mo with unlimited seats is cost-effective for team deployment.
- Subagent architecture enables true parallel task execution — a differentiator from linear no-code automation tools.
- Native MCP support means the platform is future-proofed for the emerging Model Context Protocol ecosystem.
👎 Cons
- Concurrent run limits (2 on Free, 5 on Pro) can create bottlenecks for teams with high-volume, simultaneous automation needs.
- Credit-based usage model requires monitoring: heavy users running complex multi-step workflows could exhaust 20k credits faster than expected.
- Ecosystem maturity: fewer pre-built community templates and niche SaaS connectors compared to Zapier or Make’s extensive libraries.
- Learning curve for advanced features: mastering subagents, reflections, guardrails, and custom MCP configurations takes dedicated time beyond basic setup.
Limitations
Learning curve: Simple single-trigger agents take minutes to deploy, but building complex multi-step workflows with subagents, conditional logic, and guardrails requires a few dedicated sessions. The visual builder is intuitive, but agentic workflow design is a new mental model for most teams.
Integration depth: While 100+ integrations cover major SaaS tools (Salesforce, Google Workspace, HubSpot, Notion, etc.), long-tail niche applications may require custom webhook or REST API setups. Zapier and Make remain superior for breadth of native connectors.
Credit-based pricing: The Pro plan’s 20k monthly credits can be consumed quickly by agents running data-intensive workflows — heavy API usage, large context windows, or frequent model calls. Teams should monitor the credit estimator and budget accordingly.
Model dependency: Agent output quality is tied to the underlying AI model. BYOK setups using lower-tier models may experience increased logic errors or parsing failures. No built-in evaluation harness exists yet for A/B testing model performance across workflows.
Upstream risk: Gumloop is a platform layer over third-party AI providers (OpenAI, Anthropic, Google). Pricing changes, API deprecations, or outages at the model provider level directly impact agent reliability and operational cost.
Who Is Best For?
Revenue teams deploy Gumloop agents that qualify leads, personalize outreach, schedule follow-ups, and generate pre-meeting briefs — all inside Slack without leaving the sales workflow. Companies like Gusto and Ramp use Gumloop to power AI agents that drive pipeline velocity and reduce churn through automated customer health monitoring.
Customer support teams build agents that triage incoming tickets, draft responses with full context, escalate complex cases to humans with complete thread summaries, and follow up on resolved tickets to measure satisfaction — all operating inside the support team’s existing Slack channels and email inboxes.
Operations and engineering teams create multi-step approval workflows, automated deployment pipelines, incident response agents, and compliance monitoring — with guardrails that enforce separation of duties and audit trails for every automated action.
Who Gumloop is NOT for: Individual users who just want simple no-code automation without AI capabilities (Zapier or Make are better). Teams needing thousands of pre-built niche SaaS connectors with zero configuration effort. Organizations unwilling to invest time in designing and refining agent workflows — Gumloop rewards thoughtful setup.
Alternatives
| Tool | Best For | Starting Price | Key Differentiator |
|---|---|---|---|
| Gumloop | AI agents inside Slack/Teams/email with enterprise security | Free (unlimited workflows) | Conversation-native agents with subagent parallelism |
| Zapier | Simple integrations between 6,000+ SaaS apps | $19.99/mo | Massive connector library, no AI required |
| n8n | Self-hosted, open-source workflow automation for developers | Free (self-hosted) | Full code control, on-premise deployment |
| Make | Visual scenario building with extensive SaaS connectors | $9/mo | Affordable visual automation, broad integrations |
| Anthropic Claude Agents | Teams already in the Anthropic ecosystem | $20/mo (Claude Pro) | Direct Claude integration, but limited multi-platform deployment |
For more details, please visit the following:
👉 Visit Zapier
👉 Visit n8n
👉 Visit Make
👉 Visit Anthropic Claude Agents
Frequently Asked Questions
Yes. Gumloop’s Free plan includes 5,000 monthly credits, 1 active trigger, unlimited agents and workflows, 2 concurrent runs, and 5 concurrent agent interactions. It’s genuinely usable for small teams experimenting with AI agents.
Gumloop is fundamentally different: it builds AI agents that reason and plan, not just trigger-action automations. Zapier and Make are better for simple “if this, then that” integrations. Gumloop excels when you need agents that understand context, split work into subagents, and operate conversationally inside Slack or Teams.
Yes. Enterprise plans include VPC deployment, SOC 2 Type II certification, Zero Data Retention agreements with model providers, RBAC with scoped secrets, audit logging for every agent action, and optional incognito mode for PII-heavy workflows.
Gumloop supports OpenAI (GPT-4o, GPT-4, GPT-3.5), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus), Google (Gemini 1.5 Pro, Gemini 1.5 Flash), and open-source models via BYOK. You can enforce model access control per agent and track spend across all models from a single dashboard.
Credits are the usage unit on Gumloop. Each AI model call, API request, or workflow step consumes a certain number of credits based on complexity and model tier. The Pro plan includes 20,000+ credits per month with the ability to scale up to 1.5M+ credits using the pricing page slider. You can monitor credit consumption per agent, per workflow, and per team in the dashboard.
Yes. Gumloop agents deploy directly into Microsoft Teams channels, chats, and meetings. Teams users can @mention agents, start direct conversations, and receive agent outputs inline — the same experience as Slack but native to the Teams ecosystem.
Should You Try It?
✅ Try it if:
- Your team lives in Slack or Teams and wants AI agents that operate inside those conversations — not in a separate dashboard.
- You need enterprise-grade security (VPC, SOC 2, SSO, audit logs) baked into your automation platform from day one.
- You’re building complex multi-step workflows that benefit from parallel subagent execution and human-in-the-loop approvals.
- You want native MCP server support with the ability to bring your own AI model keys and govern spend centrally.
❌ Skip it if:
- You need simple trigger-action integrations between 6,000+ apps — Zapier or Make are faster to set up.
- Your team prefers flat-rate seat-based pricing over credit-based usage models.
- You need a fully mature ecosystem with thousands of pre-built community templates and niche SaaS connectors today.
- You’re an individual user looking for personal automation without team collaboration features.
Verdict
Gumloop has carved out a distinct position in the crowded AI agent and automation space by solving a real problem: teams need AI agents that work where they already communicate, not yet another platform to monitor. The conversation-native deployment model — agents inside Slack, Teams, and email — eliminates the context-switching friction that plagues most automation tools.
The platform’s enterprise credentials are genuine differentiators: SOC 2 Type II certification, VPC deployment, RBAC, Zero Data Retention, and audit trails are not future roadmap items — they ship today. For organizations where security and compliance have been blockers to AI adoption, Gumloop provides a path forward that security teams can approve.
The main trade-offs are the newer ecosystem (fewer community templates than Zapier or Make) and the credit-based pricing model that requires monitoring. However, the Free plan is generous enough for meaningful experimentation, and the Pro plan at $37/month with unlimited seats offers excellent value for teams that want to operationalize AI agents without hiring ML engineers.
Rating: 5.0 / 5 — Gumloop is a leader in the enterprise AI agent platform category, with the security, architecture, and user experience to justify the top score. The ecosystem will continue to mature, but the core platform is production-ready today.
Get Started with Gumloop
Ready to deploy your first AI agent? Sign up for the Free plan at gumloop.com — no credit card required. You’ll get unlimited agents and workflows, 5,000 monthly credits, and the ability to deploy agents in Slack, Teams, or email within minutes.
👉 Visit gumloop
Sources and History
Sources
Tier 1 gumloop.com – accessed 2026-07-13
Tier 1 gumloop.com/pricing – accessed 2026-07-13
Tier 1 gumloop.com/enterprise – accessed 2026-07-13
Tier 1 gumloop.com/blog/series-b – accessed 2026-07-13
Tier 1 gumloop.com/blog/subagents-launch – accessed 2026-07-13
Tier 1 gumloop.com/blog/agents-in-microsoft-teams – accessed 2026-07-13
Tier 1 Y Combinator: Gumloop – accessed 2026-07-13