Comparison

AIOS vs Dust: which one to choose?

Dust is a French success story: a platform where companies build AI agents plugged into their internal data. Designed for mid-size companies and scale-ups. The AIOS targets the other end of the spectrum: the business owner who wants a turnkey outcome.

Dust (Paris, 2022), founded by alumni of OpenAI and Stripe, is one of Europe's references for enterprise AI agents: the platform plugs into your tools (Notion, Slack, Drive, Microsoft 365...) and your teams build specialised assistants per role, with the AI model of their choice. Thousands of organisations use it, including well-known French scale-ups.

Dust and the AIOS are two French answers to the same question (putting AI to work on company data), for two different audiences. Dust equips teams that want to build their agents. The AIOS hands a business owner a digital employee already built, configured on their use cases, on a server that belongs to them alone.

The comparison at a glance

CriterionAIOSDust
ApproachA complete digital employee, delivered configuredA platform to build your own agents per role
Who it is forOwners of small businesses, no technical teamMid-size companies and scale-ups with hands-on teams
Who configuresThe AIOS team, with you, during the trialYour teams (agent creation, connecting sources)
ModelOne system with a shared business memorySpecialised agents per use case, multiplied
HostingDedicated server per client, in FranceSaaS cloud (dedicated option reserved for large accounts)
ProactivityActs alone: follow-ups, monitoring, reports, scheduled workAgents mostly summoned on demand by the teams
Human supportOnboarding, 1h of training, ongoing supportDepends on the plan; product designed self-service
BillingFixed monthly subscription per company, 7-day trialPer seat, with credit consumption based on usage

When to choose Dust

  • You are a mid-size company or scale-up with teams ready to build and administer their agents
  • Your central need is a knowledge assistant plugged into a large internal corpus (Notion, Slack, Drive)
  • You want to pick the AI model of each agent yourself and iterate finely

When to choose the AIOS

  • You run a small business and nobody has time to build agents
  • You want proactivity: a system that chases, monitors and produces without being asked
  • You value a dedicated server from day one and a human configuring everything with you

Our verdict

Dust is a great platform, and for a well-staffed mid-size company that wants to build its fleet of agents, it is an excellent French choice. The AIOS answers another need: the business owner who wants to build nothing at all, and expects an operational digital employee within the first week.

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Frequently asked questions

Your questions, our answers.

Dust and AIOS are both French: what should I compare?

The service model. Dust sells a platform your teams take ownership of (building agents, connecting sources, iterating). The AIOS sells an outcome: a system already built, configured on your use cases by our team, on a dedicated server. The right choice depends on who, in your company, will do the setup work.

Is Dust's per-seat billing a problem?

It is a consistent model for equipping many employees. For a small business where the point is to unload the owner and a handful of people, the AIOS's fixed subscription (whatever the volume of delegated work) is often easier to read.

Does an AIOS also plug into our tools like Dust?

Yes: email, calendar, documents, over 50 connectors, and custom integrations configured by our team. The difference is that the AIOS does not just answer from your data: it acts on it (sends, chases, files, produces) continuously.

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