Dust

Most companies think they've adopted AI. But they're actually stuck at stage 2. Gabriel Hubert, our CEO, breaks down the 4-stage journey of organizational AI adoption: Stage 1: Shadow IT Employees are already using ChatGPT with your company data. Uncontrolled, untracked, unsecured. Research shows 90% of workers use personal AI tools for work multiple times daily, even when only 40% of companies have purchased LLM subscriptions. This is your Shadow AI problem. Stage 2: Secure chat You've rolled out "Company GPT" or internal ChatGPT. Congratulations, you've built a safer playground. But this isn't transformation, it's consumer tooling with an SSO login. Stage 3: Embedded assistants AI agents that don't just answer questions but actually do things. They access your company knowledge and complete workflows autonomously. This is where work starts to change and ROI becomes measurable. Stage 4: Organizational AI Autonomous AI teammates that work without constant oversight. Your entire company adapts at the pace of AI. This is where you transcend time savings and accomplish things that weren't feasible before. Most companies celebrate reaching stage 2 and call it done. But the real transformation, the compounding gains, the infinite extension of your workforce happens at stage 4. That's the stage we're obsessed with at Dust. Where is your company on this journey?

The SF team is stepping their doggy game up! 🐶   With Stewart holding down the fort in the NYC office, Rufus is now joining the roster as Chief Morale Officer in San Francisco.   Building a great product starts with building a great place to work. We're a fast-moving team building the AI platform for enterprises. If that sounds like your kind of place, we'd love to meet you.   https://lnkd.in/e_dRQVXv

When Martin Boudon joined Dust, he did what he knew best: built n8n flows to automate his outbound ops. First reaction from the team: "Why didn't you just use Dust?" So he rebuilt it. 15 minutes. Same output. No maintenance. That was the beginning. He's since turned it into a full Growth Outbound OS, from campaign creation to reply monitoring to reporting, all running in the background. Read everything about how he built his Growth Outbound OS with Dust AI agents: https://lnkd.in/ex9QGRaA

Reliable AI agents start with reliable infrastructure. On May 7, our US GM Nico C. and Software Engineer Jean-David are joining Datadog's Field CTO John Trapani and Sales Engineer Andy Keogh to share exactly how we do it at Dust. You'll hear how we use Datadog to maintain reliable infrastructure, process large volumes of logs, and resolve issues faster — so our customers can build and deploy AI agents with confidence.  May 7 | 13:00 BST / 14:00 CEST / 8:00 AM ET  Save your spot: https://lnkd.in/eG94i6aZ

We've been thinking a lot lately about what it actually takes for an enterprise to go from "we're experimenting with AI" to "AI is how we work." The coolest product demo doesn't answer this question. It gets answered through a lot of hard conversations — about people, culture, and how you get an entire organization to change the way it operates. We're bringing those conversations to the AI Agent Conference in New York this May, and we'd love to have them with you. Stop by our booth if you're there. 📍 New York Hilton Midtown 📅 May 4–5, 2026

"When you listen to our two co-founders' vision on AI, you truly understand that we are not just riding the AI wave, we are truly building something with a strong POV of how work should change." Meet Astrid, a Solutions Engineer at Dust. 🌟 In the latest episode of Life at Dust, she shares what it's really like to work at the intersection of technology and customer trust. Her job doesn't end after a great demo. She helps customers continue to see value with Dust over time, and she knows how to build genuine relationships, even when Dust isn't the right fit for what they want to build. We're hiring at Dust. If you're excited about building the future of work alongside people like Astrid, we'd love to hear from you. 👉 https://lnkd.in/e_dRQVXv

You don't need another AI platform in your stack. You need connection. Most companies approach AI adoption the same way: take existing workflows, put an AI layer on top, and hope for efficiency gains. Individual contributors get marginally faster. The organization stays exactly the same. The companies getting the most value from AI are fixing broken handoff processes. They're surfacing institutional knowledge that used to live in one person's head. They're turning decisions that required three Slack threads and a meeting into one conversation. We're seeing that AI that works has a shared infrastructure. Agents that hold knowledge, context, and skills accessible to your entire workspace. A support lead builds an agent that synthesizes product docs, the sales team uses it too. An ops leader creates an agent pulling live CRM data, the exec team sees the same insights. This is why we built collaboration into the core of Dust. Agent marketplaces where teams discover what's already been built. Projects where colleagues can jump into conversations with shared context. Security that inherits personal permissions from source apps. The best models won't save you. The most agents won't either. What matters is whether your organization can redesign how it operates with AI as the connective fabric. In this blog, Neyla Belmaachi digs into the wrong champions, the wrong metrics, and what actually works. Dig into the blog here: https://lnkd.in/eDH3m8hu

We use our own product to produce our own case studies. Specifically, our content marketer built a system of agents that preps her interviews at 5am, turns transcripts into drafts, handles SEO, and keeps her pipeline current. The whole thing runs in the background so she can focus entirely on the conversation in front of her. We just published the full breakdown. Read it on our blog: https://lnkd.in/eNYFVN-e It's honest, it's detailed, and it's worth your time.

Last week, Dust rang the Nasdaq Closing Bell alongside other 2026 Enterprise Tech 30 honorees. Receiving the plaque and recognition is an honor. But what made the day truly special was getting to compare notes with other teams building the next wave of enterprise tech. Events like this remind you that building enterprise software isn't a solo sport. The companies shaping the future are filled with real people solving hard problems, and getting to connect with all of them in one room was a gem. Gabriel, Nic, and Karen represented our team at the ceremony. We're grateful to Wing Venture Capital and Nasdaq for creating a space where companies can celebrate wins and learn from each other. Now back to building. 🔔

At Dust, there are no product managers. Engineers own projects end to end. And the product they ship is the same one they use every day. From starting the day checking Slack to deploying a fix for a latency alert, Rémy-Christophe S. breaks down what a full day looks like at Dust and what it means to be an engineer here. Read the full post: https://lnkd.in/geYne66G