Gumloop
FreemiumAI-native visual workflow builder for scraping, document parsing and LLM pipelines, with drag-and-drop nodes and credit-based pricing.
What is Gumloop?
Gumloop is an AI-native workflow platform where the model calls are the point rather than an add-on. You build flows on a node canvas, dragging in scrapers, LLM steps, document parsers, extractors and enrichment nodes, then chaining them into pipelines that turn unstructured input into structured output. Where traditional automation tools move records between apps, Gumloop is designed for the messier work of reading a hundred PDFs and pulling out contract terms, or crawling a list of company sites and generating a qualification summary for each. Backed by Y Combinator and a Series B led by Benchmark, it bundles AI model costs into its own credits rather than asking you to bring your own API keys, which simplifies billing but means credit burn varies dramatically with model choice: standard AI calls cost a few credits while advanced model calls can cost ten times more. The integration library is smaller than established players, so Gumloop earns its place when AI processing is the hard part of the workflow rather than connectivity.
Key Features
Integrations
How to Use Gumloop
✅ Best For
- Research and operations teams processing large volumes of unstructured input such as PDFs, contracts, transcripts or scraped web pages into clean structured data
- Growth and GTM teams running bulk enrichment or qualification pipelines across hundreds of companies at once
- Technically comfortable users who want visual control over an LLM pipeline without writing and maintaining Python scripts
- Teams that would rather have AI model costs bundled into one credit balance than manage separate API keys and provider invoices
❌ Not For
- Teams whose core need is app-to-app syncing, since the integration library is much smaller than Zapier's or Make's
- Budget-sensitive users running advanced models heavily, because a single flow using premium LLM calls can consume hundreds of credits per run
- Non-technical beginners, as the node canvas and credit mechanics carry a real learning curve
- Organisations needing predictable fixed monthly costs, since credit consumption swings with model choice and data volume
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Pricing
- ✓Around 2
- ✓000 credits/month
- ✓1 seat
- ✓limited concurrent runs
- ✓community support
- ✓Around 20
- ✓000 credits/month
- ✓unlimited seats
- ✓more concurrency
- ✓team analytics
- ✓Higher credit allocation
- ✓expanded concurrency
- ✓workspace controls
- ✓RBAC
- ✓SCIM and SAML
- ✓audit logs
- ✓custom retention
- ✓VPC deployment
Prompts to Try
Build a flow that scrapes 200 company websites and writes a one-line qualification summary for each
Create a flow that reads uploaded PDFs and extracts contract dates, parties and renewal terms into a spreadsheet
Set up a flow that takes a list of LinkedIn URLs and generates personalised outreach lines
Design a flow that summarises customer call transcripts and tags them by objection type