Gumloop vs Onpilot

Gumloop and Onpilot 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.

Onpilot

The platform connects agents to ERP, CRM, support tools, and custom APIs, then layers in approval steps, permission scopes, and audit logs so the agent cannot act unilaterally on sensitive operations. Agents can search, reason, take action, and hand off to a human — the approval step pauses execution and sends an interactive Slack message before anything ships. Multi-tenant architecture means a single deployment can serve isolated customer or plant workspaces with per-tenant access control. Where it breaks: Onpilot is a custom-built, consultative engagement, not a self-serve platform you configure over a weekend — teams without clear workflow documentation will stall during scoping.

Attribute	Gumloop	Onpilot
Pricing	Paid	Paid
Price	$37/month	—
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	Yes	Yes
Platforms	Web-based platform with Slack, Microsoft Teams, and email integrations	—
Released	2023	—
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.	Approval gates pause agent execution and collect explicit sign-off via Slack before sensitive actions dispatch, so your operations team stays in control of decisions that cost money or trigger downtime — without building that logic themselves. Per-tenant workspace isolation with SSO and SCIM support means a single Onpilot deployment can serve multiple plants or customers with no data bleed between tenants, which removes the need to stand up separate infrastructure per client. Agents connect to custom APIs and OpenAPI-described tools alongside named integrations, so a workflow that spans SAP, a bespoke MES, and a third-party quality system does not require the vendor to have a pre-built connector for each one. White-label embedding lets SaaS or internal dashboard teams surface agents under their own product interface, so end users never interact with a third-party tool and the agent feels native to the existing workspace. Audit logs capture every agent action with run counts, error rates, token usage, and the user who triggered each workflow — which means compliance and incident review have a traceable record rather than a black box.
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.	There is no self-serve trial or sandbox: getting an agent running requires joining a waitlist and going through a consultative scoping engagement. Teams that need to validate fit before committing engineering time to a vendor process cannot do that here — they go to a no-code builder like Zapier or a self-hosted framework like n8n instead. The on-premise option is documented as available but no self-service deployment path or container image is published. Infrastructure teams that require air-gapped installation on their own timeline will be dependent on Onpilot's delivery schedule, not their own. Because the agent configuration is built by Onpilot engineers rather than your team, iteration cycles — adding a new escalation rule, adjusting an approval chain — run through the vendor. Teams with fast-changing operational policies will accumulate a backlog of change requests they cannot resolve independently.

Bottom line

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

Frequently asked questions

What is the difference between Gumloop and Onpilot?

Gumloop is Paid, while Onpilot is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Gumloop better than Onpilot?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.