Gumloop vs Lutra AI

Detailed side-by-side comparison to help you choose the right tool

Gumloop

🟢No Code

AI Automation

Gumloop is a collaborative visual platform for building and governing AI agents and automations with multiple models, shared credentials, and MCP support.

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Starting Price

Free

Lutra AI

🟡Low Code

AI Automation

Lutra is an AI assistant that automates multi-step workflows across business apps by generating Python code on the fly — letting non-developers describe what they want in plain English and getting reliable, inspectable automations against Gmail, Slack, Notion, Salesforce, and dozens of other tools.

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Starting Price

$0/month

Feature Comparison

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FeatureGumloopLutra AI
CategoryAI AutomationAI Automation
Pricing Plans3 listed plans3 listed plans
Starting PriceFree$0/month
Key Features
  • • Visual AI automation framework for flows, agents, triggers, and app-connected work
  • • Prebuilt agent examples for data analysis, support triage, CRM work, meeting prep, and call analysis
  • • Free plan with 5k credits/month, one seat, one active trigger, and unlimited agents/flows
  • • AI-generated code execution for work tasks
  • • Google Workspace integrations including Docs, Sheets, Gmail, and Calendar
  • • Microsoft integrations including Outlook and OneDrive

Gumloop - Pros & Cons

Pros

  • ✓Unlimited seats and agents reduce per-user friction for cross-functional collaboration
  • ✓Pricing page clearly explains credits, orchestration fees, overages, and BYOK behavior
  • ✓Supports 35+ models and combines visual building with CLI and GitHub-oriented features
  • ✓Can host a custom MCP server and proxy MCP servers without separate infrastructure

Cons

  • ✗Unused monthly credits do not roll over, reducing value for teams with uneven demand
  • ✗Agents stop after included credits are exhausted unless pay-as-you-go is explicitly enabled
  • ✗Bringing model-provider API keys increases the orchestration fee from 8% to 16%
  • ✗RBAC, SCIM/SAML, audit logs, custom retention, and VPC deployment require custom Enterprise pricing

Lutra AI - Pros & Cons

Pros

  • ✓Executes actual code for tasks rather than only producing chat responses, which helps make recurring automations more consistent and inspectable.
  • ✓Supports a broad set of named work apps, including Google Docs, Sheets, Gmail, Calendar, Outlook, OneDrive, Slack, GitHub, HubSpot, Airtable, LinkedIn, and CRMs.
  • ✓Lutra's MCP page describes it as an MCP-compatible client and says users can connect any MCP-compatible service or bring their own MCP server.
  • ✓Connected-app actions such as reading or writing data in Slack, Google, Airtable, GitHub, and Outlook are listed as 0-credit actions.
  • ✓Reusable Playbooks can be saved, scheduled, and shared, giving teams a way to standardize repeated processes instead of re-prompting from scratch.
  • ✓The website states that Lutra is SOC 2 compliant and uses OAuth integration, with visibility into actions and code for security-sensitive automations.

Cons

  • ✗Custom pricing still requires contacting Lutra, which makes enterprise budget comparison harder before sales review.
  • ✗The credit model adds complexity because actions such as web search, website retrieval, person profiles, company profiles, and AI processing can consume different amounts.
  • ✗AI function credit usage can vary based on text size, document length, and complexity, so large PDF or spreadsheet tasks may be less predictable.
  • ✗Lutra’s public website emphasizes many common business apps, but it does not claim the thousands of prebuilt connectors offered by long-established automation platforms.
  • ✗Teams that need full visual workflow control, self-hosting, or deterministic node-by-node automation may prefer a platform such as n8n or Make.

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🔒 Security & Compliance Comparison

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Security FeatureGumloopLutra AI
SOC2✅ Yes—
GDPR✅ Yes—
HIPAA❌ No—
SSO——
Self-Hosted✅ Yes—
On-Prem——
RBAC——
Audit Log——
Open Source❌ No—
API Key Auth✅ Yes—
Encryption at Rest——
Encryption in Transit——
Data Residency——
Data Retention——
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