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Nema vs Dust

Choose a Slack coworker or a broader AI operations platform.

Dust gives companies a multi-model platform for agents across apps. Nema centers each coworker on the Slack channel where the team asks and reviews.

An example in Slack Illustrative

@Nema, turn this customer issue into a sourced summary, an issue draft, and a follow-up for the support lead to review.

Nema APP

Customer issue packet

  • The failed export affects CSV files over 20 MB in the supplied cases.
  • The issue draft marks the browser version as unknown.
  • The support lead needs to approve the proposed customer reply.

A starting point for your team's review.

The short answer

Dust is a broad company AI platform with shared agents, reusable skills, knowledge spaces, multiple models, Slack and Teams integrations, scheduled work, and enterprise governance. Nema is more opinionated about where collaboration happens. It gives each Slack channel a coworker with its own guidance, memory, connections, and approvers.

Dust has the stronger documented record for organizations that want an agent platform across apps and enterprise deployment options. Nema is a focused fit when the Slack thread should remain the visible work record and the channel should own the coworker's operating context.

Compare the products

Question Nema Dust
Product center Slack channels and DMs Dust workspace with Slack, Teams, and browser access
Collaboration One coworker per channel plus a personal coworker Shared agents, Spaces, Pods, skills, and human review
Models Multiple providers, routing, or a pinned model More than 20 frontier and open-source models advertised
Connections Connector catalog, verified app by app More than 70 connectors and MCP advertised
Governance Channel policy, approvers, and administration SCIM, audit, residency, analytics, and single-tenant options documented

Checked September 22, 2026. See Dust's current pricing and Slack workflow documentation. Plan terms and catalog counts can change.

A customer issue workflow

A support channel receives a complex customer issue. The team needs a sourced summary, a ticket draft, a proposed reply, and a follow-up reminder. The source set includes the Slack thread, approved product notes, and permitted customer records.

With Nema, the channel coworker follows support-specific guidance and keeps its draft in the thread. A support lead can correct the diagnosis, approve the ticket write, and review the reply before it is sent. The channel retains the correction for similar work, while another channel can keep different instructions and tools.

Dust can build the same kind of flow with a shared agent, company knowledge, Slack auto-reply, and scheduled or event-driven workflows. Dust's Spaces, Pods, and agent workspace give AI operations teams a broader place to design and govern agents beyond Slack. Both products support shared channel work, multiple models, and scheduled agents.

Choose Nema when

Choose Nema when adoption should start with the channel and its existing work habits. The team can teach a coworker in context, see its work in threads, and name approvers for connected actions. Each person connects their own app account, so Nema uses the requester's existing access for connected work.

Nema's pooled-credit offer may suit companies with many occasional users, but pricing should be compared only after running the same tasks. Nema credits and Dust credits are not equivalent units.

Choose Dust when

Choose Dust when the company needs an agent platform that extends beyond Slack. Dust publishes a broad model catalog, connector list, shared agent controls, audit and usage analytics, SCIM, US and EU residency, and enterprise single-tenant deployment. Its public material also provides more evidence of adoption and enterprise readiness.

Dust is a good fit for an AI operations group that wants a dedicated environment to create, distribute, and govern many agents. Its Slack workflows can invoke agents on schedules or events, while its main workspace supports deeper administration.

Test the decisive details

Run the same support task in both products. Record how each exposes source citations, memory, requester identity, approvals, tool calls, and audit history. Test an auto-reply or routine with incomplete data and a proposed external write. Ask whether Slack actions use shared credentials, personal connections, or a service identity.

For cost, choose three representative tasks and record actual consumption. Estimate active users and task frequency. Dust currently publishes per-seat credit plans, while Nema advertises pooled organization credits. A useful comparison explains both workload and access model.

Common questions

Is Dust Slack-native?

Dust has an official Slack app, auto-reply behavior, and Slack workflows. Its product center also includes its own workspace and other integrations. Nema makes Slack channels and DMs the primary interface.

Which product supports more models?

Both support multiple model providers. Dust publicly advertises more than 20 models. Nema offers model choice and routing, but buyers should compare the exact models available in their plans.

Which has stronger enterprise controls?

Dust has the stronger published record today, including SCIM, residency options, audit analytics, and single-tenant deployment. Nema has organization policy and administration, but buyers should verify required controls in the current product.

Start with one channel.

Add Nema to Slack, invite it to one channel, and ask it something. $50 in free credits, no card up front. If you would rather see it first, we will walk you through it.