$1.5M+
Additional ARR generated in 3 months with coaching and enablement agents
Mike WittigChief Information Officer, Gusto
View storyGumloop vs Dust: Which is best for you?
Dust builds conversational agents for knowledge work. Gumloop is an agent platform for your whole business.
The agent infrastructure powering the world's most AI-native companies
Tasks Automated
0+
Agents Deployed
0+
What Gumloop does that Dust can't
Agents that build their own skills and triggers
Gumloop agents can create new reusable skills and set their own triggers mid-conversation.
Agents and agentic workflows
Gumloop has agents and workflows that can call each other. Anything that's a mix of deterministic steps and reasoning can run end-to-end on one platform.
White-labeled Slack agents
With Gumloop, your team can have multiple white-labeled Slack agents, each with a custom name, avatar, and per-app scoping. On Enterprise plans, agents shared with your organization can serve your entire Slack workspace, including teammates without a Gumloop account.
Custom MCP integrations authored in natural language
In Gumloop, you can create a custom MCP integration with a prompt. Deploy custom MCP integrations inside your VPC and govern them with Gumstack.
VPC deployment with AI proxy and BYOK
For enterprises that want to keep their data in their own cloud, Gumloop supports VPC deployment in any region, AI proxy routing, and BYOK.
Governance at the tool level
Gumloop offers per-tool RBAC and natural language audit queries across every tool call in the entire org.
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.
 Dust | ||
|---|---|---|
| Platform and ease of use | ||
| Platform and ease of use | ||
| Prebuilt integrations | ||
| 300+ | 55+ | |
| Agents | ||
| Workflows | ||
| Forms / interfaces | ||
| Webhook triggers | ||
| Scheduled triggers | ||
| Code execution in managed sandboxes | ||
| White-labeled per-team Slack agents | ||
| Hosting of custom MCP servers | ||
| AI capabilities | ||
| AI capabilities | ||
| Build agents with natural language | ||
| Agents can create shareable files | ||
| Agents can create their own skills, triggers, and workflows | ||
| Bring your own key (BYOK) | ||
| AI proxy routing | ||
| Allow/deny lists for AI models | ||
| Automatic model fallbacks | ||
| Automatic model routing per message, based on the task (Auto mode) | ||
| Email inboxes for agents | ||
| Sub-agent support | ||
| Live MCP-powered artifacts | ||
| Password-protected artifacts on your own domain | ||
| Pricing | ||
| Pricing | ||
| Major AI models included in subscription | ||
| Per-API-key spend caps | ||
| Premium enrichment tools included (Apollo, Exa, Firecrawl, DataForSEO, etc.) | ||
| Security, compliance, and governance | ||
| Security, compliance, and governance | ||
| SOC 2 Type II | ||
| Zero Data Retention | ||
| Virtual private cloud deployment | ||
| Per-tool RBAC inside agent execution | ||
| Per-document permission enforcement on indexed data | ||
| Conversational analytics agent | ||
| Per-user / -agent / -service audit traces | ||
| Connector Policies for agent control | ||
| Agent-agnostic MCP tool tracing | ||
| Tracing of proxied MCP servers | ||
| Support and enablement | ||
| Support and enablement | ||
| Dedicated CSM and solution architect (on enterprise) | ||
| On-site enablement (on enterprise) | ||
| Admin-approved template management | ||
Customer stories
“Everyone does things that they don’t want to do, and I think Gumloop is a great way to eliminate those things and be able to focus on the things that are strategic.”
Erik TchinnosianBusiness Operations, fal
View storyWhy teams choose Gumloop over Dust
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.
Gumloop vs. Dust
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