Delv
No Code Builderby Gumloop★ 4.3

Gumloop

Visual workflow builder with strong AI-node primitives. Think Zapier but the AI feels native, not bolted on.

Try it Also in Tools: AI Productivity →
C
Safety & Trust

Delv Safety Grade: C

Score 58/100 · assessed 2026-04-18

Maintainer55
Permissions45
Supply chain50
Transparency40
Incidents100

Gumloop is a commercial no-code workflow builder from a small startup with no public repository or transparent development process. The platform operates entirely as a hosted web service, meaning you're trusting their infrastructure with whatever data flows through your workflows. The AI-native approach is powerful but opaque: you don't see how prompts are constructed, what models run where, or how data is retained. Permissions are broad by design since workflows can scrape websites, process documents, enrich leads, and integrate with external services. The freemium model suggests reasonable commercial backing, but the lack of open source code, public issue tracking, or detailed security documentation makes it hard to verify claims. No known incidents, but transparency is thin. Suitable for non-sensitive automation where convenience trumps auditability.

Green flags

  • Commercial entity with freemium model suggests ongoing support
  • Web-based reduces local attack surface compared to desktop tools
  • No known security incidents or credential leaks
  • Purpose-built for AI workflows rather than retrofitted automation tool

Red flags

  • No public repository or source code visibility
  • Closed platform with opaque AI prompt construction and model usage
  • Broad data access across workflow steps (docs, web scraping, enrichment)
  • Thin public documentation on data retention and security practices
  • Small vendor with unclear bus factor or long-term viability

Permissions requested

Outbound networkRead filesExternal LLM callSend messagesDB readDB write
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

FREEMIUM

Platforms

web

Review

Gumloop sits in the awkward middle ground between Zapier and proper code, and it mostly pulls it off. The visual canvas feels like a flowchart tool that grew AI superpowers. You drag nodes for things like 'extract structured data from PDF', 'enrich with web search', 'generate summary', then wire them together. The autonomy comes from chaining AI steps without babysitting each one. Set up a lead enrichment flow once, feed it a CSV, and it'll scrape LinkedIn, summarise company websites, and score fit without you clicking through each row. I used it to process 200 supplier invoices that arrived as mixed PDFs and scanned images. Built a workflow: OCR node, extraction node (pulling line items into JSON), validation node (flagging weird totals), then a Slack alert for exceptions. Took maybe an hour to set up, caught 90% of invoices correctly, and the 10% it flagged were genuinely ambiguous. That's the sweet spot: it handles the boring middle 90% autonomously, surfaces edge cases for human review. The AI nodes are genuinely better than Zapier's ChatGPT integration. They're purpose-built (document parsing, web scraping, data transformation) rather than generic prompt wrappers. You get structured outputs without fighting with prompt engineering. The tradeoff is less flexibility: if you need a weird LLM behaviour, you're stuck with what Gumloop's nodes offer. Failure modes: it's opaque when things break. A node fails, you get a vague error, and debugging means re-running the whole flow. No step-through, no intermediate state inspection. Also, the free tier is stingy. You'll hit rate limits fast on any real workload, and the jump to paid feels steep for side projects. Compared to Make.com (the other visual automation contender), Gumloop's AI nodes are more polished, but Make has better traditional integrations. If your workflow is 80% AI tasks, pick Gumloop. If it's 80% Salesforce-to-Slack plumbing with a bit of AI, stick with Make. The no-code pitch is real. I've handed flows to non-technical colleagues, and they've cloned and tweaked them without help. That's rare in this space.
Verdict

Pay for Gumloop if you're automating repetitive AI tasks (document processing, lead enrichment, content workflows) and don't want to write code. Skip it if you need deep customisation or your workflows are mostly traditional API plumbing.

Good at

  • AI nodes feel native, not bolted-on prompt wrappers
  • Visual builder genuinely accessible to non-developers
  • Structured outputs from messy inputs (PDFs, images, scraped web pages)
  • Good at surfacing edge cases for human review
  • Faster to prototype than code for repetitive AI tasks

Watch out

  • Opaque debugging when workflows fail mid-run
  • Free tier rate limits hit fast on real workloads
  • Less flexible than code if you need custom LLM behaviour
  • Fewer traditional integrations than Zapier or Make
  • Steep learning curve for complex branching logic

Use cases

  • Lead enrichment pipelines
  • Document processing workflows
  • Internal automation without devops
  • Replacing patchy Zapier setups