AI at scale doesn’t start with more tools. It starts with the right foundation. At Pavilion GTM on October 1, Gabriel Hubert will share why governance, multimodel flexibility, and multiplayer collaboration are essential to moving from isolated AI experiments to compounding value. The next phase of AI won’t be about giving every employee another assistant. It will be about connecting people, agents, data, and workflows so teams can build on each other’s context and work. The companies that win won’t just adopt AI. They’ll build organizations that can evolve with it. That’s the missing foundation for AI at scale.
Dust
Développement de logiciels
The multiplayer AI system for human-agent collaboration.
À propos
Custom AI agents: secure, connected to your company knowledge and tools, and powered by the best AI models. Join us: https://dust.tt/jobs.
- Site web
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https://dust.tt
Lien externe pour Dust
- Secteur
- Développement de logiciels
- Taille de l’entreprise
- 51-200 employés
- Siège social
- Paris
- Type
- Société civile/Société commerciale/Autres types de sociétés
- Fondée en
- 2023
Produits
Dust
Logiciel de gestion SaaS
Dust is multiplayer, multi-model AI that rewires the way companies work. It gives teams of humans and agents a shared system for coordinating complex, cross-functional work across any model and any system. With security and permissions, observability, and performance and cost management built in, Dust helps companies govern responsible AI usage and maintain sovereignty over their organizational intelligence.
Lieux
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Principal
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Paris, FR
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San Francisco, California, US
Employés chez Dust
Nouvelles
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Dust 🤝 AI PARTNERS We're excited to announce our partnership with AI PARTNERS, an AI-native consulting firm helping complex organizations design, build, and operate agentic systems in production. Together, we're helping organizations move from AI strategy to everyday, measurable adoption, with a strategy offering and two training programs already available to our shared customers. "Most enterprise AI programs die between the pilot and the payroll. We partnered with Dust because it is built for the unglamorous part: company context, permissions, model choice. That is what turns an experiment into an operating standard" Thomas Spitz, CEO at AI Partners.
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Next week Nico Chinot will be speaking at Pavilion GTM in “Building the AI-Native Company: Four Founders on What Comes Next.” The conversation will explore how founders are thinking about company building, team design, and the practical realities of working with AI at the center of the business. Looking forward to hearing Nico Chinot share what we’re learning at Dust, alongside three other founders building toward what comes next in AI!
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How do you get 97% AI adoption among 150 strategy consultants while building 500+ agents in six months? Build a culture, not just a platform. When PMP Strategy moved to Dust, they built three things in parallel: 1/ A Partner-first approach. Each one got a two-hour, one-on-one session where the team used their actual notes to build a personal agent on the spot. When the most senior people in the firm adopt something, the signal travels fast. 2/ A champion network. Early adopters were identified through usage data and helped adoption spread through the firm, reaching their colleagues more effectively than any top-down mandate could. 3/ A weekly AI committee. The CEO, partners, legal, HR, and champions met every week to discuss two questions: Which agents should be published firmwide, and how many are active on live projects? The result isn’t just 97% adoption. Consultants now run analyses that would previously have been ruled out of a project entirely. PMP now uses this exact playbook with its own clients as they go through AI transformation. Congrats to the entire PMP team. Gilles Vaqué Pierre Le Corre Olivier LEROY Jennifer Campbell
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Congratulations to Profound on their $180M Series D! We’re proud to support the team as they help define how brands show up in AI search. As their team grew 4x in less than a year, multiplayer AI became part of how people work across the company. Teams use shared agents connected to company knowledge, with control over who can access which tools and data. Edgar Sze, who works in go-to-market engineering at Profound, and his team chose Dust rather than building and maintaining the integrations, permissions, and shared interface themselves. That let them focus on building agents for their teams rather than the infrastructure behind them. Watch Edgar explain how Profound puts multiplayer AI into practice 👇
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It's official. Dust lands in London. 🇬🇧 We’re extremely excited to announce the opening of our UK office and begin this next chapter in London. Thank you to everyone who has welcomed us, supported us, and helped make this possible. We’re thrilled to be closer to our customers, partners, and the growing community of people building the future of work. Guess what? We’ll be celebrating with our London community next week. Party details and RSVP link in the comments.
London, we're here.
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At Fintech Week London, Nicole Kreider joined the panel “Who signs off on the AI agent?” to discuss what responsible agentic AI looks like in practice. The conversation focused on the fundamentals: clear ownership, well-defined governance, and knowing exactly which data agents can access. As organizations move from AI experiments to agents that act on their behalf, these questions are becoming essential. Thanks to the Fintech Week London team for bringing together such a thoughtful group for the discussion.
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Dust will be at Big Data & AI Paris tomorrow. If you're heading to the show come find us in the Premium Lounge. On Tuesday from 2:25 to 2:50 PM, our CTO Stanislas Polu takes the stage to talk about why multi-model AI applications will become the norm, and what that means for how teams actually build with AI today.
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