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Flag outdated docs for review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

OM1 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
OM1 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
100+ 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
$30/user/month, all features included
~$29/user/month Pro; Enterprise custom
Enterprise track record
Scale, Harness, Contentstack, Curri
Growing; earlier-stage enterprise adoption
Trust & Security

Built to be enterprise-ready

Security, privacy, and compliance are not add-ons – they're foundational to every layer of the platform.

SOC 2 Type IIVia Secureframe
GDPREU data protection
CASA Tier 2Cloud app security

Permissions & Access Control

  • Role-based access controls (RBAC) with granular permission sets
  • Enterprise SSO via SAML 2.0 and OIDC
  • Multi-factor authentication enforced at every level
  • Scoped API keys with configurable rate limits

Security & Encryption

  • AES-256 encryption at rest, TLS 1.3 in transit
  • Zero-trust network architecture
  • Regular penetration testing by independent firms
  • Vulnerability disclosure and responsible patching

Privacy & Data Governance

  • Your data is never used to train models
  • Regional data residency – choose where data lives
  • Data retention policies and automated purge controls
  • Full data processing agreements (DPA) available

Scale & Reliability

  • 99.9% uptime SLA backed by enterprise agreements
  • Multi-region, multi-cloud infrastructure
  • Horizontal auto-scaling for peak workloads
  • Disaster recovery with <1hr RPO, <4hr RTO

Controls & Oversight

  • Human-in-the-loop approval gates for sensitive actions
  • Complete audit trails – every agent action logged
  • Real-time monitoring dashboards and alerting
  • Configurable guardrails, rate limits, and kill switches

Deployment Flexibility

  • Cloud, private cloud, or on-premise deployment
  • VPC peering and private endpoints supported
  • Air-gapped environments for regulated industries
  • Bring your own model (BYOM) support

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 OM1 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 OM1 is a persistent knowledge graph built across your organization over time, mapping accounts, relationships, decisions, and patterns. OM1 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.