Enterprise AI Workspace

GenOS vs Dust

GenOS is the enterprise AI operating system for the workforce that will not configure anything itself: built, integrated, and owned by a named engineer, across every channel and surface. Dust is a self-serve workspace. GenOS is an operational deployment.

65%

automation rate on contact centre workflows

NOS

80%

reduction in document processing costs

Sonae Sierra

6–12

weeks from kickoff to production deployment

GenOS delivery model

Why GenOS

What makes GenOS different from Dust

01

Built for the team doing the work

Dust is a product for IT owners who configure OAuth apps and manage agent permissions. GenOS is built for the operations manager whose team will use the system. They do not configure anything. The Forward Deployed Engineer handles deployment, integration, and ongoing tuning.

Built for the team doing the work
◆ GenOS Assistant
Draft escalation for ticket #4421 to legal
Draft ready: data processing dispute. Deadline 12 Jul. Assigned: Legal ops. No config needed.
ZendeskLegal knowledge base

02

Beyond the chat window

Dust's surface is a workspace chat interface. GenOS runs across WhatsApp, voice, your website widget, and email. It processes documents in the background without any chat interaction. That is a wider definition of AI work.

Beyond the chat window
⊞ Supervisor4 channels
WhatsApp: query received
Intent classified
ERP lookup
Response dispatched

03

An operating layer that improves after launch

Dust ships product updates. GenOS's Forward Deployed Engineer runs a continuous improvement loop after go-live: usage analysis, knowledge gap detection, conversation quality scoring, and model routing refinement. The system gets better because someone is responsible for making it better.

⬡ Platform Control
+18%
resolution rate since launch
3
knowledge gaps closed this week
Usage analysedKnowledge auditedQuality scored

Why switch to GenOS

Teams choose GenOS over Dust when

  • Your operational workforce will not configure anything themselves. They need a system the FDE stands up.
  • You need multi-channel customer-facing agents: voice, WhatsApp, chat widget, email continuity
  • High-volume document automation is in scope. Dust has no Supervisor-equivalent pipeline product.
  • You need post-go-live improvement as a service: FDE-led usage analysis, knowledge audits, quality evaluation
  • Your governance requirements go beyond per-function stake settings: cross-agent audit trails, RBAC at the workflow level, and a unified control plane

Feature by feature

GenOSDust
Day-1 polish and UX
Production-grade deployment; more operationally shaped than self-serve
Polished, opinionated workspace with strong UX: Connections, Tools, Skills are clean primitives
Deployment model
Named FDE builds and configures the deployment; workforce uses without technical ownership
Self-serve SaaS: IT or Platform owner builds and governs; no deployment partner
Customer-facing service agents
Multi-channel ServiceAgent: web widget, WhatsApp, voice, email continuity
Workspace-only chat surface; no customer-facing multi-channel agent product in evidence
Document and workflow automation
Supervisor: deterministic pipelines for invoice processing, order intake, document classification at volume
No case-management, operator inbox, or volume-processing pipeline product
MCP catalogue depth
Growing catalogue; FDE installs and configures on behalf of the customer
42 prebuilt MCPs on day one, plus custom MCP server support: the widest available catalogue
Per-function governance
Agent-level RBAC and audit trail; per-function granularity on roadmap
Per-function enable/disable plus 4-tier stake setting (High/Medium/Low/Never): production-grade today
Cross-agent audit trail
Cross-workflow, cross-agent audit log with reasoning context: a core platform capability
Per-agent insights exist; global cross-agent tool-call audit log not confirmed in public UI
Post-go-live improvement
FDE-led improvement loop: usage analysis, knowledge audits, quality evaluation, model routing optimisation
No equivalent. Dust ships product updates; no one at Dust improves your specific deployment.
European enterprise fit
Built from DareData deployments at European enterprises; BYOC and on-prem for data residency
Paris-based, European-native; BYOC not confirmed
Audience
Operational workforces: logistics, finance, customer service, that will not self-configure
Technical buyers: IT owners, Platform teams, SaaS-heavy knowledge-worker companies

Frequently asked

What is the difference between GenOS and Dust?

Dust is a self-serve workspace for technical teams who build their own agents. GenOS is an operational deployment for workforces that will not self-configure: a named engineer builds and runs it across customer service, document automation, and one governed control plane.

Does GenOS handle customer-facing and document workflows like Dust?

GenOS goes further here. Dust's surface is a workspace chat interface. GenOS runs multi-channel service across web, WhatsApp, voice, and email, and processes documents at volume through deterministic pipelines, which Dust has no equivalent for.

Who is GenOS built for compared to Dust?

Dust suits technical buyers and platform teams who configure their own tools. GenOS suits operational workforces in logistics, finance, and customer service who need a system stood up and improved for them by a named engineer.

Bottom line

Dust is strong self-serve infrastructure for technical teams. GenOS is for the operational workforce that will not configure OAuth apps: customer-facing agents across voice, WhatsApp, and chat, document pipelines at volume, and a governed control plane, all stood up and improved by a named engineer. A workspace and an operating system serve different audiences.

See in practice

Next step

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