Epismo OS
Freemium
Teams using multiple AI tools on the same tasks
Most no-code automation tools hold up fine for linear workflows — the moment you need an agent to loop back on a failed API call, branch on enrichment results, or post to Slack without anyone pressing a button, the canvas runs out of road. Gumloop is built for exactly that gap.
Gumloop lets growth, sales, and ops teams wire together multi-step AI agents that run on their own — pulling from external APIs, enriching CRM records, drafting content, and firing results into Slack or Teams without a human trigger per run. The visual builder handles the common cases well: lead enrichment, meeting prep, competitive research. Branching logic that depends on what a previous step returned is where the ceiling appears — complex conditional paths push teams toward adding custom code nodes, which means they are now maintaining two layers. Security and compliance teams get enterprise-grade controls over AI usage, which matters when rolling out to non-technical employees at scale.
Bottom line: Bet on Gumloop when your team needs to ship a lead enrichment or content scheduling agent without writing a pipeline from scratch — plan for a workaround layer when your branching logic gets deep enough that a code node becomes load-bearing.
Starts at $37 / month
Custom Pricing
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Freemium
Teams using multiple AI tools on the same tasks
Paid
E-commerce and retail businesses
Gumloop is a visual workflow automation platform that lets teams build and deploy AI agents capable of executing multi-step tasks, calling external tools and APIs in loops, and operating autonomously inside tools like Slack and Teams. The core workflow is canvas-based: you connect nodes representing triggers, AI model calls, data transformations, and integrations, then deploy the resulting agent to run on a schedule or in response to external events. Use cases the vendor highlights include lead enrichment and qualification, CRM data synchronization, meeting prep automation, content generation with social scheduling, and competitive intelligence.
The differentiating feature is autonomous agent execution — agents that don’t just run a linear sequence once but can loop, make decisions based on model output, and call back into APIs repeatedly until a condition is met. The vendor describes proactive deployment into Slack and Teams, meaning agents surface results in the channels where teams already work rather than requiring a separate dashboard check.
Gumloop fits best when the workflow is well-defined and the branching is shallow — a growth team spinning up a prospecting agent or an ops team automating a weekly CRM sync will find the visual model sufficient. When conditional logic grows to four or more branches that depend on runtime output, the canvas becomes difficult to reason about, and teams add code nodes to handle edge cases. At that point the tool is no longer purely no-code, and teams evaluating deeply programmatic pipelines will compare Gumloop against code-first orchestration frameworks. A self-hosted option exists for teams with data residency requirements, and an API is available for embedding Gumloop-built agents into external products.
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