Lindy vs Gumloop: which AI automation platform is better in 2026?

Lindy and Gumloop both promise no-code AI automation, but they serve different audiences. Lindy creates AI agents that handle business tasks like scheduling and email. Gumloop builds visual workflows for data processing and document automation.

This comparison covers where each platform excels and where they fall short.

Quick comparison

What is Lindy?

Lindy is a no-code platform for creating custom AI Agents called "Lindies." Each Lindy handles a specific business function — scheduling meetings, managing email, triaging support tickets, running sales outreach sequences.

What makes it different: Lindy is AI-native, not a traditional automation tool with AI bolted on. Agents can communicate with each other, trigger actions based on AI judgment, and handle multi-step processes that require reasoning.

Strengths:

• 100+ pre-built templates for common business tasks
• Agent-to-agent communication for complex sequences
• Accessible pricing for small teams ($29/month)
• Simple interface — no code required for most use cases

Limitations:

• Limited to the capabilities exposed in the template library
• Less control over underlying AI behavior for advanced users
• Integrations are narrower than workflow-first platforms
• No self-hosting option

What is Gumloop?

Gumloop is a visual workflow builder focused on business process automation and data processing. You drag and drop nodes to create pipelines that handle repetitive tasks from data extraction to document processing.

What makes it different: Gumloop's Chrome extension lets you automate browser-based tasks without APIs. Combined with its document processing capabilities, it's strong for teams that work with unstructured data.

Strengths:

• Chrome extension for web scraping and browser automation
• Strong document processing (PDFs, spreadsheets, emails)
• Visual workflow builder with 50+ connectors
• Good for data pipeline automation

Limitations:

• Not agent-based — workflows are sequential, not reasoning-driven
• Smaller integration ecosystem than competitors
• Higher starting price ($37/month) with fewer AI-native features
• Limited multi-step reasoning capabilities

Feature comparison

AI capabilities

Lindy: Agents reason about tasks and can decide next steps. Agent-to-agent communication enables complex workflows where one Lindy hands off to another based on context.

Gumloop: AI is a node within a workflow. You can call language models to process data, but the workflow itself doesn't reason — it follows the sequence you defined.

Edge: Lindy. Its agent-first architecture handles ambiguous tasks better than Gumloop's deterministic workflows.

Data processing

Lindy: Can process documents and data as part of agent workflows, but it's not the primary focus.

Gumloop: Purpose-built for data pipelines. Extract data from PDFs, process spreadsheets, scrape websites, and transform documents at scale.

Edge: Gumloop. If your primary need is data extraction and processing, Gumloop's tooling is more mature.

Ease of use

Lindy: Template-first approach means you're productive in minutes. Pick a template, connect your accounts, customize the behavior. No workflow design required for common tasks.

Gumloop: Visual builder requires more upfront design. You map out each step in the pipeline. More flexible but more effort for simple tasks.

Edge: Lindy for getting started fast. Gumloop for teams that want more control over the exact flow.

Pricing

Lindy: $29/month for the starter plan. Scales based on usage and number of active agents.

Gumloop: $37/month for the starter plan. Scales based on workflow executions and processing volume.

Edge: Lindy on price. $8/month difference adds up, especially for small teams.

When to choose Lindy

• You want pre-built AI agents for scheduling, email, support, or sales
• Your team is non-technical and needs immediate productivity
• You value simplicity over customization
• Budget is a consideration ($29/month vs $37/month)

When to choose Gumloop

• Your primary need is data processing and document automation
• You need browser-based automation via the Chrome extension
• You're building data pipelines that transform and route information
• You want a visual workflow builder with fine-grained control

When to consider a managed platform instead

Both Lindy and Gumloop work well for individual task automation. But if you're building AI Agents for customer-facing use cases — support, documentation, product Q&A — you need capabilities neither platform offers:

• Native help desk integration (Zendesk, Intercom, Salesforce)
• Multi-agent orchestration with handoff and delegation patterns
• Managed RAG over your docs, help center, and internal knowledge
• Enterprise security (SOC 2, SSO, audit logs)

Inkeep provides these out of the box, designed specifically for teams that need production-ready AI Agents for customer experience.

For a broader comparison of the automation landscape, see our guide to the best AI business automation tools in 2026.