Gumloop vs Relay

Gumloop and Relay are both workflow automation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Gumloop

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.

Relay

Relay.app lets you describe a workflow in plain language, then generates a visual step sequence you can edit manually or by prompting again. The core model is fixed-sequence automation — triggers, steps, branches, loops — with AI inserted at specific points for extraction, summarization, or creation, not for deciding what to do next. Approval gates are built in, not bolted on, so a finance director can sign off on an expense before it routes to payment. Reusable 'Sequences' let teams standardize common patterns like lead enrichment or onboarding and propagate updates across every workflow at once. The ceiling appears when logic grows complex: deep conditional branching across many steps pushes against what the visual canvas expresses cleanly.

Attribute	Gumloop	Relay
Pricing	Paid	Paid
Price	Free to $37/month (Pro) or custom enterprise	Free–Custom
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Web-based platform with Slack, Microsoft Teams, and email integrations	Web-based SaaS (cloud only)
Released	2023	2021
Pros	Autonomous agent execution without a human trigger per run, which means a prospecting workflow can enrich and qualify leads overnight and surface results in Slack by morning without anyone managing it. Provider-agnostic AI model calls inside the canvas, so swapping the underlying model when costs shift or a better option appears does not require rebuilding the workflow. Native Slack and Teams integration at the agent output layer, which means results land where the team already works instead of requiring a separate app check that gets ignored. Self-hosted deployment option, so teams with data residency or compliance requirements can run agents without sending sensitive CRM or customer data to external infrastructure. Non-technical employees can build and modify agents without engineering support, which means ops and marketing teams ship automations without waiting in a sprint queue.	Human approval gates are first-class workflow steps — not external integrations — so run history captures every decision point and teams have a built-in audit trail without adding a separate compliance tool. Natural language workflow generation means an ops manager can describe a process and get a working visual draft without writing automation logic, so the gap between 'I want to automate this' and 'this is running in production' shrinks to hours instead of days. Reusable Sequences let teams define common patterns — lead enrichment, approval routing, onboarding steps — once and update them in one place, so a process change doesn't require editing twenty individual workflows. AI steps are inserted at specific points in a fixed sequence for tasks like data extraction, summarization, or transcription, which means the output is predictable and auditable rather than generated on the fly where errors compound silently. Integration with 200+ apps, including financial tools like Stripe, QuickBooks, and Xero alongside CRMs and communication platforms, so most mid-market operations stacks connect without custom API work.
Cons	Conditional branching based on what a prior step returned hits the visual model's practical ceiling around the third or fourth branch — teams handling complex qualification logic or multi-path enrichment add code nodes to compensate, at which point they are debugging two systems instead of one. Agents that need to maintain state across sessions or resume from a mid-pipeline failure require workarounds the canvas does not natively express — teams with reliability-critical pipelines where a failed API call must retry with context intact end up moving those flows to code-first orchestration tools. The free tier caps usage at a fixed monthly credit ceiling, which means any team running high-frequency agents — hourly CRM syncs, real-time lead enrichment at volume — hits the limit quickly and must upgrade or throttle the workflows they just built.	Complex conditional logic — four or more branches where each path has its own sub-conditions — strains the visual canvas. Teams building multi-path decision trees end up adding workarounds or restructuring workflows in ways that obscure the logic; at that point, a code-first tool like n8n or a purpose-built BPM platform handles the same requirements with less contortion. Relay.app is not self-hosted and offers no self-hosted option, so teams with data residency requirements or internal-only network policies cannot run it in their own infrastructure — those teams evaluate on-premise alternatives before the trial ends. The platform executes predefined sequences and does not support autonomous goal decomposition, persistent memory across runs, or self-directed iteration — teams that arrive expecting agent behavior discover the tool is workflow-first and must either restructure their expectations or switch to an agent framework like LangGraph or CrewAI for that work.

Bottom line

Gumloop and Relay are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.