Coworker vs Dust

Why teams choose Coworker over Dust

Dust is a promising AI agent platform with a strong builder for creating custom assistants connected to your data. Coworker adds organizational memory that pre-synthesizes context across your org, a native meeting notetaker with automatic follow-ups, and a dedicated onboarding team that gets you live in minutes.

Last updated: April 2026

Agents
Wiki Maintenance AgentIT
Keep Notion and Confluence current
Doc Creation AgentPeople
Draft pages from meeting notes
Knowledge Search AgentIT
Find answers across all tools
Project Status AgentEng
Compile weekly status updates
Stale Content AgentIT
Flag outdated docs for review
Onboarding AgentPeople
Surface relevant docs for new hires
Wiki Maintenance Agent

3 tool requests

#1

Jira project scan

12 open tickets, 3 blocked, sprint ends Friday

#2

Confluence docs

Integration spec last updated 4 days ago

#3

Slack thread scan

Blocker discussed in #eng-acme yesterday

Reasoning steps

Jira project scan
Confluence docs
Slack thread scan
Why Coworker

What makes Coworker different

Pre-synthesized org memory vs. retrieval-based context

Coworker

OM2 builds a persistent knowledge graph across 120+ organizational dimensions. Agents arrive pre-briefed with synthesized context rather than just retrieving document chunks.

Dust

Dust connects data sources and retrieves relevant content at query time. Context is assembled from connected documents rather than pre-synthesized into an organizational model.

Feature Comparison

Side by side

Capability
Coworker
Dust
AI Capabilities
Core purpose
Enterprise AI platform with org memory and agents
AI assistant builder with connected data sources
Organizational memory
OM2 knowledge graph, 120+ dimensions
Retrieval from connected data sources
Autonomous agents
Schedule, trigger, or event-driven
Agent builder; trigger-based automation limited
Agent builder
No-code with triggers and approval gates
Strong: multi-model, data source-connected agents
Execution & Integrations
Meeting intelligence
Native notetaker + auto follow-ups
Not included natively
CRM writes
Automatic after meetings and events
Via API connections; requires agent configuration
Integrations
50+ native connectors
Key connectors (Notion, Slack, GitHub, etc.)
Multi-model support
OpenAI, Anthropic, Google, open-source
Strong: multiple model providers supported
Deployment & Pricing
Time to value
Agents working in minutes, full setup in days
Self-serve; depends on team's technical capacity
Security
SOC 2 Type II, GDPR, CASA Tier 2
SOC 2 Type II, GDPR
Pricing
Book a demo for pricing
~$29/user/month Pro; Enterprise custom
Enterprise track record
Scale, Harness, Contentstack, Curri
Growing; earlier-stage enterprise adoption

See it on your own tools

Comparing Dust and Coworker?

Book a 20-minute demo, or get a free Context Impact Report: we run your team's questions through your current setup and through Coworker, then score every answer blind.

The ROI calculation was straightforward. We just needed to save two to two and a half hours per month per person to break even. We exceeded that in the first few weeks.

Marcin Safranow

Marcin Safranow

VP IT Operations, Huuuge Games

Huuuge Games
Security and governance

Enterprise-grade security, from day one

SOC 2 Type II

Audited annually, report on request

Hosted locally

Your memory stays in your region. Open-source models run in the US.

Isolated, single-tenant

In our cloud or your VPC

Never trains on your data

No model provider, closed or open source

Your permissions, enforced

The access already set in Salesforce, Slack, Jira and Drive

Also included

GDPRCASA Tier 2Node-level permissions at query timeEvery fact traceable to its sourceSSO and SAMLAES-256 at rest, TLS 1.2+ in transitRegional data residency

FAQ

Frequently asked questions

Both platforms build AI agents connected to your organization's data. Dust is a strong agent builder for technical teams who want control over prompt design and data source configuration. Coworker differentiates with OM2 organizational memory that pre-synthesizes context across 120+ dimensions, a native meeting notetaker with automatic follow-ups, and a dedicated onboarding team that delivers agents working for you in minutes.

Dust retrieves relevant context from connected data sources at query time, assembling context dynamically. Coworker's OM2 is a persistent knowledge graph built across your organization over time, mapping accounts, relationships, decisions, and patterns. OM2 provides pre-synthesized understanding rather than retrieval-on-demand.

Dust does not include a native meeting notetaker. You can connect meeting transcript data as a source, but recording, summarizing, and auto-acting on meetings, including CRM updates and ticket creation, is not native. Coworker includes meeting intelligence as a first-class feature.

Dust is largely self-serve: you configure data sources, write agent prompts, and build workflows internally. Coworker provides a dedicated onboarding team that delivers agents working for you in minutes and completes full setup in 2-5 days. For enterprises who want production AI faster, Coworker's managed approach reduces time to value significantly.

Yes. Coworker is SOC 2 Type II certified, GDPR compliant, and CASA Tier 2 verified. All data is encrypted, respects existing permission models, and is never used to train AI models. Enterprise customers get SSO, RBAC, and a dedicated security review.

See why teams switch from Dust

Connect your tools. Deploy an agent. Watch it handle real tasks in minutes.