Caddi vs. GumloopGumloop gives you a canvas to build on. Caddi builds the automation for you from a screenshare or a chat.
Both are AI-native, but one is a DIY canvas and the other is an agentic automation platform. A direct comparison of Caddi and Gumloop on build model, vertical fit, reliability, and governance.
- 99%of agent runs complete successfully
- ~45 minon average to build your first agent
- 1M+back-office tasks completed
Jason AlafganiUpdated Sep 23, 2026
A canvas still needs someone to build on it.
Somebody has to wire the nodes, tune the prompts and own the graph, and in an ops team that's whoever has time that week.
A flexible AI canvas for hands-on builders who enjoy assembling their own workflows.
A non-technical teammate describes the process in chat or on a screenshare, and Caddi builds the automation and keeps it running.
Work you already know shouldn't be re-decided every run.
When every step is an AI step, small misses compound: 90% right per step comes out clean 48% of the time over seven steps.
AI steps run in the flow, and you tune prompts and branches until it behaves on real data.
Fixed steps run as code, the same way every time, and AI is kept to the steps that need judgment. 99% of agent runs complete, every step logged.
The work has to land in iManage, Clio or Addepar.
Back-office work at a law firm or RIA ends in a DMS, a practice system or a portfolio platform, and it has to arrive there with a record.
Broad, horizontal SaaS connectors built for many industries and use cases.
150+ integrations including iManage, NetDocuments, Clio, Tamarac and Addepar, with SOC 2 controls and every run on the record.
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 agentic: you record a workflow, Caddi writes it as deterministic code, runs it over APIs, and maintains it. Caddi works for any back-office team, goes deepest in regulated law and finance, and ships 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 has deep law and finance expertise, integrates with iManage, NetDocuments, Clio, Salesforce, Tamarac, and Addepar, 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 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, for work you want done the same way every time. When AI decides every step, non-determinism compounds: a step that is right 90% of the time comes out clean only 48% of the time across seven steps. Caddi runs the fixed steps as deterministic code and keeps AI to the steps that need judgment, each one scoped, logged, and reviewable. That makes runs predictable and auditable, which matters for business-critical, regulated work.