We're only year 3 of a decade (if not multi-decades) long transformation of work.
3 years ago we bet on building an horizontal platform for work with agents, a chance to invent a new operating system for companies, from scratch, with AI as a fundamental premise. Many people considered us crazy for going after that, praising verticalized AI products as the winning strategy. But here's the thing: the time horizon of tasks successfully handled by agents has been predictively increasing form minutes to hours and will in all likelihood reach the equivalent of days and weeks of human work equivalent in the coming quarters.
This is were verticalized and/or single-player AI falls short. Single-player tools, one person, one agent, confined to your machine is the wrong architecture for what's coming. We're shifting from using AI to produce things, to managing fleets of agents that do the producing. 3 years ago I wrote[1]:
"ChatGPT is the Pong of LLMs. [...] Imagine, one day we'll get the DOOM, Civ, Red Alert, and Counter Strike of LLMs. Let alone multiplayer modes."
Weeks long tasks in companies are inherently collaborative and mechanically spanning multiple teams. The new bottleneck in harnessing agents within organizations is coordination: multiple humans and multiple agents need to work together, with shared context, shared tools, shared goals. Agents that can hand work off to other agents or surface decisions to the right person at the right time. Humans who can review, steer, and step in without losing the thread. Teams that can run parallel workstreams and actually stay aligned.
This is Multiplayer AI, and that's what we've been building at Dust.
Across Datadog, Clay, Persona, 1Password, Doctolib and 3,000+ organizations globally, we've watched teams figure out what this looks like in practice. 300,000+ agents deployed. 70% weekly active. 240%+ NRR.
Today we're announcing a $40M Series B with Abstract, Sequoia, Snowflake, and Datadog to accelerate our vision.
Designing the right interfaces for multiplayer AI is the next frontier. Join us to redefine work by defining multiplayer AI.
"9 months later but 9 times better"
We're releasing a deep-dive agent that has access to your entire company data (structured and unstructured) and all the MCP tools connected to a Dust workspace to perform high level tasks on longer time horizons.
It has taken over a number of weekly multi-hours tasks that used to be done by humans including our team.weekly meeting preparation as well as aggregation of user testimonials and feedback from call transcripts. I used it last week during a call with an investor to generate a specific retention graph they were asking for, sharing the results before the call was ended instead of going to our data team.
Yes it's 9 months after deep research. But this is definitely 9 times better if your goal is to get things done at work.
It has access to all our unstructured data presented as a file-system (notion, slack, drive, ...), all our data-warehouse with discoverability capabilities, and all of the MCP servers connected to our Dust workspace.
The team has been using it increasingly shifting from custom agents accomplishing tasks to deep-dive based-agents accomplishing outcomes.
7 different technical initiatives went into enabling deep-dive in Dust. We're diving into the detail of each of them in the blog post below. A great read if you're looking to use or build long-time-horizon agents.
https://t.co/Lxnyl2jx7h
We built synthetic filesystems that map disparate data sources into navigable Unix-inspired structures.
This transforms AI agents from search engines into knowledge workers capable of both structural exploration and semantic investigation across company data.
🔥 🚀 The Dust Chrome Extension is Here!
We're thrilled to announce the launch of our new Chrome extension, bringing Dust assistants directly into your browser! Try it now in the Chrome Web Store 👇 https://t.co/rsIlanDVP8
Just over a year after Dust was born, we’re excited to announce:
- Our series A round led by @sequoia.
- A new generation of multi-tool assistants for all users.
- We just went over the $1M ARR with over 5k active subscribers to Dust.
We’ll accelerate investment to get work to work better, abiding by our “𝗼𝗻𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗮𝗹𝗹, 𝗯𝘂𝘁 𝗻𝗼𝘁 𝗼𝗻𝗲-𝘀𝗶𝘇𝗲-𝗳𝗶𝘁𝘀-𝗮𝗹𝗹” vision. We believe in highly focused assistants that tackle specialized tasks and in the value of a unified platform to manage adoption, costs, and security.
✍️ Blog → https://t.co/ic2F0P85w7
📰 More from:
Les Echos - https://t.co/6uqW98UOHv
Bloomberg - https://t.co/32gDahHJVT
As announced to users already, we’ve worked hard to make Dust assistants smarter. They can now handle complex workflows, thinking in multiple steps and using various tools to answer queries.
✍️ Blog → https://t.co/E7nSv1zrAy
We’re proud to be partnering with some of the fastest-moving teams in the world, and excited to accelerate.
PS — we’re hiring! Explore our careers page and reach out if you think you’re a fit for any of our open positions! https://t.co/4q2hJl7rrK
Dust, la start-up française d'IA générative, que tous les fonds s'arrachent
"On donne des outils pour que les entreprises fabriquent leur IA pour créer des assistants, basés sur l'IA générative."
🎙️ Gabriel Hubert, cofondateur et président de Dust
Last week we did our first webinar at @NoeProgramme with @nmondollot from @Getaround : "Breaking into PM: what profiles are startups looking for?".
Here are the main outputs : https://t.co/kPj0zp2dHs
Next one is tomorrow with @PopDaph and it's about working with developers!
Alan reçoit un nouvel investissement de 50M€ de @Temasek et @IndexVentures pour aider à transformer le système de santé, développer de nouveaux services et s'étendre en Europe. Plus que jamais, l’accès au soin doit être simple, juste et transparent pour toutes et tous.