Gumloop
AI-first workflow automation, no codeNo-code visual canvas for building AI-powered automation workflows, supporting GPT-4, Claude, and Gemini in a single pipeline.
- Maker
- Gumloop
- Founded
- 2023
- Pricing
- Free tier
- Last checked
- October 2026
Verdict
No-code visual canvas for building AI-powered automation workflows, supporting GPT-4, Claude, and Gemini in a single pipeline.
Score breakdown
vs n8n, the category leaderOperations and marketing teams wanting to automate AI-driven tasks without writing code
Key features
- Visual node-based workflow builder with 115+ pre-built action blocks
- Multi-model AI nodes: GPT-4, Claude Sonnet, Gemini selectable per step
- Gummie meta-agent: describe a workflow in natural language, get a generated graph
- Web scraping and PDF/document parsing built in as first-class nodes
- 130+ third-party integrations including Google Workspace, Slack, Notion, and Airtable
- Autonomous AI agents that run multi-step tasks without human-in-the-loop
- Scheduled and trigger-based workflow execution
Strengths
- +Visual drag-and-drop canvas lets non-technical users build multi-step AI pipelines without writing code
- +Supports GPT-4, Claude, and Gemini in the same workflow — model switchable per node
- +Gummie meta-agent generates complete workflow graphs from a plain-language description
- +130+ integrations and 115+ pre-built blocks cover most common business and data tools
- +Enterprise adoption by Shopify, Ramp, and Instacart signals production-scale reliability
Weaknesses
- −Credit-based pricing escalates fast for AI-heavy workflows; credits do not roll over month-to-month
- −Trigger library is thin (~5 triggers per connected app) compared to Zapier or Make
- −Complex branching logic and reusable sub-flows are awkward to build versus developer-grade tools like n8n
- −Smaller community means fewer templates and troubleshooting resources than mature alternatives
Overview
Overview
Gumloop is a no-code AI workflow automation platform founded in April 2023 by Max Brodeur-Urbas and Rahul Behal, two McGill University classmates who went through Y Combinator’s Winter 2024 batch. The company, originally called AgentHub, is headquartered in San Francisco and has raised over $70 million across seed ($3.1M led by First Round Capital), Series A ($17M from Nexus Venture Partners), and a Series B ($50M led by Benchmark, closed March 2026).
The platform positions itself as “AI-first automation” — distinct from traditional tools like Zapier or Make in that AI model calls are native nodes in the graph rather than add-ons. Users drag and drop blocks onto a canvas to build pipelines that can scrape websites, parse documents, call LLMs, and push results to external services. A standout feature called Gummie lets users describe what they want to automate in plain language; Gummie then generates the corresponding workflow graph automatically.
By mid-2026 the platform reports enterprise adoption at Shopify, Ramp, Gusto, Instacart, and Opendoor. The core weakness is economics: a credit-based billing system where advanced AI calls consume credits quickly, and credits expire monthly. Pricing has also climbed steeply since 2024, making it pricier than Zapier at comparable workflow volumes.
Key Benefits
- No-code AI pipelines: Build document-processing, lead-enrichment, and content workflows entirely through a visual canvas.
- Multi-model flexibility: Swap between GPT-4, Claude, and Gemini on a per-node basis within one workflow.
- Gummie meta-agent: Describe a task in natural language and receive a ready-to-run workflow, dramatically reducing setup time.
- Enterprise-grade scale: Proven at companies like Shopify and Ramp with dedicated workspaces, SSO, and SLAs on the enterprise tier.
Use Cases
- Lead research and enrichment — Scrape LinkedIn or web sources, pass results through an AI summarization node, and push enriched records to a CRM automatically.
- Document processing — Extract structured data from PDFs or contracts using AI parsing nodes, then write results to Google Sheets or Airtable.
- Content generation pipelines — Chain a research step, an LLM drafting step, and a publishing step to produce blog posts or social content at scale.
- Sales and ops reporting — Pull data from multiple SaaS tools, aggregate with AI analysis nodes, and deliver a formatted Slack digest on a schedule.
Pricing
Checked October 2026 · USD- 2,000 credits per month
- Access to core workflow builder
- Basic integrations
- Community support only
- 10,000 credits per month
- All core integrations
- AI model nodes (standard tier)
- Email support
- Expanded credit allocation
- Team collaboration features
- Advanced AI model access (GPT-4, Claude Sonnet)
- Priority support
- Higher execution concurrency
- 60,000 credits per month
- Up to 10 seats
- Shared workspaces
- Slack-based support channel
- Up to 15 list-processing steps
- Unlimited seats
- Custom credit volumes
- SSO and advanced security controls
- Dedicated account management
- SLA guarantees