Gumloop vs Glean: Which is best for you?
Glean indexes your enterprise data for search. Gumloop is an agent platform that acts on your data, across your entire stack.
“Gumloop turned our sales and marketing teams into builders, and saved us thousands of hours of manual work.”
What Gumloop does that Glean can't
Agents that act on your system of record
Multi-agent orchestration with parallel execution
Triggers that span multiple apps
Agents that write and run their own code
Choose and manage models your way
Agents that create their own skills
Gumloop vs. Glean
Glean's strength is indexed search across your data. Gumloop's strength is agents that can take action on your data.
Gumloop | ||
|---|---|---|
Platform and ease of use | ||
| Prebuilt integrations | 100+ | 100+ |
| Agents | ||
| Workflows with branching, conditionals, and loops | ||
| Code execution in managed sandboxes | ||
| White-labeled per-team Slack agents | ||
| Build custom MCP integrations, with natural language | ||
AI capabilities | ||
| Read AND write across CRMs, data warehouses, and SaaS tools (Salesforce, HubSpot, Snowflake, BigQuery, etc.) | ||
| Multi-condition triggers across apps | ||
| Specialist subagents working in parallel | ||
| Continuous web monitoring (competitor pages, news, social) | ||
| HTML artifacts | ||
| Live artifacts (images, code) | ||
| External/public sharing of artifacts with admin policy controls | ||
| Support for skills | ||
| Skills can run code and call tools, not just provide instructions | ||
| Skills that set their own triggers | ||
| Skills that bind to MCP servers and external tools | ||
| Bring your own key (BYOK) | ||
| Allow/deny lists for AI models | ||
| Automatic model fallbacks | ||
| AI proxy routing | ||
| Indexed cross-source search | ||
| Document search across thousands of internal files | ||
| Per-query permission filter on indexed data | ||
Pricing | ||
| Per-seat minimum | None | Custom (sales-led) |
| Major AI models included in subscription | ||
| Premium enrichment tools included (Apollo, Exa, Firecrawl, Semrush, etc.) | ||
| Free tier | ||
| Self-serve onboarding (no sales required) | ||
Security, compliance, and governance | ||
| SOC 2 Type II | ||
| HIPAA-ready | ||
| SSO + SCIM | ||
| Zero Data Retention | ||
| Virtual private cloud deployment | ||
| Connector-level tool-call interception | ||
| Conversational analytics agent | ||
| Per-user / -agent / -service audit traces | ||
| Tracing of proxied MCP servers | ||
Support and enablement | ||
| Dedicated CSM and solution architect (on enterprise) | ||
| On-site enablement (on enterprise) |
Agents that do the work
Glean's connectors give you a way to search your data. Gumloop's integrations give your agents a way to actually do things with it, like create Salesforce opportunities, write to BigQuery, transition Jira tickets, or update Zendesk macros in bulk.
Built for the systems where work happens
Glean's strength is the knowledge-work quadrant: Google Workspace, Confluence, Jira, and Slack. Gumloop integrates with all those tools, and also goes deep into the systems your business actually runs on: Salesforce, HubSpot, Snowflake, BigQuery, Stripe, and NetSuite. Agents create opportunities, run warehouse queries, transition pipeline stages, and write results back to the systems that run your business.

Always-current data
Gumloop agents pull live data from your tools at the moment they need it, not from a snapshot that might be a day or two behind. Permissions stay accurate because we use your team's actual connected accounts, not a copy of them. And once the agent has the answer, it actually takes the next action.
Gumloop vs. Glean
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