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Comparison

Caddi vs. Gumloop: AI Automation Compared

Both are AI-native, but one is a DIY canvas and the other is done-for-you. A direct comparison of Caddi and Gumloop on build model, vertical fit, reliability, and governance.

Caddi and Gumloop are both AI-native, but serve different buyers. Gumloop is a build-it-yourself canvas for hands-on builders. Caddi is done-for-you: you record a workflow once and Caddi writes, runs, and maintains it as code. Gumloop suits tinkerers; Caddi suits regulated ops teams in law and finance.

The basics

What is Gumloop?

A build-it-yourself canvas where you wire up nodes to create your own AI workflows.

What is Caddi?

The deterministic AI automation platform for ops and admin teams. Ops teams teach Caddi their workflows over a screen share, and then Caddi runs them reliably hundreds of times a week.

The core difference: build it, or have it built

With Gumloop, the value is the canvas, a flexible space to assemble AI steps and integrations yourself. With Caddi, the value is that you don't build: a non-technical staff member shows the work on a screen-share, and Caddi turns it into a maintained automation. AI does the understanding at setup; production runs on deterministic code.

Hit record
Screen-share the task once
Caddi writes it
As deterministic code
Runs unattended
Maintained for you
Gumloop hands you a canvas to build on. Caddi turns a single recording into a maintained, deterministic automation.

Building on a canvas vs. recording it once

Both are AI-native, but the path from idea to running automation is very different. Toggle between the two to compare what your team actually does.

Caddi builds and maintains it for you
  1. 1
    Screen-share the workflow onceA non-technical teammate demonstrates the task, no canvas, no node wiring.
  2. 2
    Caddi compiles it to deterministic codeAI is used only at setup to understand the task; production runs are predictable and auditable.
  3. 3
    It runs over your real stack70+ integrations including iManage, NetDocuments, Clio, Tamarac, and Orion.
  4. 4
    Caddi keeps it runningMaintenance and edge cases are handled for you, no graph to babysit.
Tap a tab to switch between building on Gumloop's canvas and having Caddi build it for you.

Caddi vs. Gumloop at a glance

GumloopCaddi
Build modelDIY AI canvas (wire nodes)Record-to-code, built for you
Who maintains itYou / your teamCaddi
FocusHorizontal, all industriesLaw & finance back office
Production runtimeAI steps run in the flowDeterministic code; AI only at setup
Documents & emailConfigurable nodesNative varied-PDF & inbox handling
GovernanceGeneral controlsSOC 2, audit trails, role-based access
IntegrationsBroad SaaS connectors70+ incl. iManage, NetDocs, Clio, Tamarac, Orion
0+
Integrations, incl. legal & finance systems
0
Recording to stand up a workflow
0%
Deterministic code in production
0
Graphs for your team to maintain
Caddi by the numbers: the done-for-you model in four figures.

How they score where it counts

Gumloop earns high marks for flexibility and breadth as a general-purpose canvas. Caddi is purpose-built for regulated verticals, so it leads on document handling, governance, and being done-for-you.

CaddiGumloop
FlexibilityHorizontal reachDocument handlingDone-for-youGovernanceVertical depth
Directional scoring (out of 5). Gumloop leads on flexibility; Caddi leads on regulated, vertical, done-for-you work.

When Gumloop is the right call

Gumloop is a great pick if you have a hands-on builder who enjoys assembling workflows, you want a horizontal tool that spans many use cases and industries, and you're comfortable owning the build and maintenance yourself.

When Caddi is the right call

Caddi is the better fit if the process owner is non-technical, your highest-value work is regulated and document-heavy (intake, filing, PDF → system of record, triage), you need deep DMS / CRM / custodian integrations, and reliability plus SOC 2 audit trails are non-negotiable.

Which fits your situation?

Best fit

Gumloop

A hands-on builder will get the most out of Gumloop's flexible canvas and broad connectors.

If you love the AI-native idea but don't want to be the person building and babysitting the graph, Caddi is Gumloop's done-for-you counterpart, tuned to your law or finance stack and maintained for you.

Frequently asked questions

What is the difference between Caddi and Gumloop?

Gumloop is a horizontal, DIY AI-native canvas where you build and maintain workflows by wiring nodes. Caddi is vertical and done-for-you: you record a workflow once, Caddi writes it as deterministic code, runs it over APIs, and maintains it. Caddi is built for regulated law and finance back offices with SOC 2 compliance and deep DMS/CRM integrations.

Is Caddi or Gumloop better for law firms and RIAs?

For regulated back-office work, Caddi is usually the better fit because it's purpose-built for law and finance, integrates with iManage, NetDocuments, Clio, Salesforce, Tamarac, and Orion, runs deterministically in production, and is built and maintained for non-technical teams. Gumloop is strong for hands-on builders who want a general-purpose AI canvas.

Does Caddi use a canvas like Gumloop?

No. Rather than wiring a canvas, you screen-share the workflow once and Caddi builds the automation for you, then maintains it. That removes the build-and-maintain burden of a DIY canvas.

Which is more reliable in production, Caddi or Gumloop?

Caddi runs automations as deterministic code in production, using AI only during setup to understand and replicate the workflow. That makes runs predictable and auditable, which matters for business-critical, regulated work.

See Caddi side by side

Bring a workflow you'd build in Gumloop. Caddi will build it from a screen recording and run it across 70+ tools. See real examples or book a demo. For the wider landscape, see Gumloop alternatives.

Do more with less

See Caddi in action

Tell us where to reach you and the calendar opens right here. In 30 minutes we'll show you how Caddi automates the back-office work that grows with your clients—built, run, and maintained for you.