Gumloop vs Dust: Which is best for you?
Dust builds conversational agents for knowledge work. Gumloop is an agent platform for your whole business.
“Gumloop wins time back across an org. It puts the tools into the hands of people who understand a task and lets them completely automate it away.”
Gumloop vs. Dust
Both Gumloop and Dust are AI agent platforms. Here's how they differ when the agent has to actually run the work.
Gumloop | Dust | |
|---|---|---|
Platform and ease of use | ||
| Prebuilt integrations | 100+ | 55+ |
| Agents | ||
| Workflows | ||
| Forms / interfaces | ||
| Webhook triggers | ||
| Scheduled triggers | ||
| Code execution in managed sandboxes | ||
| White-labeled per-team Slack agents | ||
AI capabilities | ||
| Build agents with natural language | ||
| Agents can create shareable files | ||
| Agents can create their own skills, triggers, and workflows | ||
| Build custom MCP integrations in natural language | ||
| Bring your own key (BYOK) | ||
| AI proxy routing | ||
| Allow/deny lists for AI models | ||
| Automatic model fallbacks | ||
Pricing | ||
| Major AI models included in subscription | ||
| Per-API-key spend caps | ||
| Premium enrichment tools included (Apollo, Exa, Firecrawl, Semrush, etc.) | ||
| Free tier | ||
Security, compliance, and governance | ||
| SOC 2 Type II | ||
| Zero Data Retention | ||
| Virtual private cloud deployment | ||
| Per-tool RBAC inside agent execution | ||
| Conversational analytics agent | ||
| Per-user / -agent / -service audit traces | ||
Support and enablement | ||
| Dedicated CSM and solution architect (on enterprise) | ||
| On-site enablement (on enterprise) | ||
| Admin-approved template management |
Orchestrate multi-agentic workflows
Gumloop supports both, and you can even orchestrate complex processes with multiple agents inside workflows. Dust is agent-only, so deterministic business processes have to live in a separate tool.
Agents in Slack, email, and the tools your teams live in
Dust gives every Slack workspace one @Dust. With Gumloop, you can deploy multiple white-labeled Slack agents, each for a different team, and each with its own identity, tools, and permissions. Extend the same agent to email, and turn any channel or inbox into a workflow trigger.
Control every credential and observe every tool call
SOC 2, SSO, SCIM, and audit logging are table stakes. Gumloop also gives you the ability to monitor and control data use across all of your organization's AI agents — both on and off Gumloop. Plus, Gumloop supports allow/deny lists for AI providers, automatic model fallbacks, AI proxy routing, and VPC deployment. Gumloop gives your organization a full enterprise infrastructure stack for AI.
What Gumloop does that Dust can't
Agents that build their own skills and triggers
Agents and agentic workflows
White-labeled Slack agents
Custom MCP integrations authored in natural language
VPC deployment with AI proxy and BYOK
Governance at the tool level
Gumloop vs. Dust
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