Customer Stories

How Qonto Achieved 70% Faster Localization and Streamlined Operations with AI Agents

Qonto streamlines operations with Dust's AI assistants, saving 50,000 hours yearly.

Product

Dust Product Update 6

We've added new features to Dust: a Microsoft SharePoint Connection, updated documentation, image processing for Anthropic models, and data visualization capabilities. We've also created import scripts for Jira, Zendesk, and Salesforce. In this product update, we also want to introduce the Spaces feature for managing sensitive

Marketing

How Valentine, Head of Marketing at Fleet, Uses Dust

Discover how Fleet's marketing lead masters new roles with Dust's AI tools.

Customer Stories

20%+ productivity gains in Sales: Insights from Alan and Payfit on GenAI Implementation

On July 11th, we hosted our inaugural event for leaders convinced by the potential of Generative AI (GenAI) to grow and accelerate their companies. The event featured a fireside chat with Charles Gorintin, CTO of Alan, and Sylvain Grande, Chief Product Officer of Payfit, led by Gabriel Hubert, Co-founder and

How Marketing and Engineering Teams Can Use Vision with Dust

Hey Dust community! We've got some big news.Dust has always been about making work work better. Our platform lets teams create custom AI agents using top-notch models like GPT-4, Claude, Gemini, and Mistral. These agents tap into your company's data, giving you context-rich support that

Product

Dust Product Update 5

Dust's latest features: Vision support, improved documentation, drag-and-drop file sharing, workspace metrics, and LaTeX equation support.

From Single Action Towards Tools

Discover Dust's latest multi-tool assistants, practical applications, and future roadmap. Learn how to build powerful AI-driven workflows.

Legal

50% Time Savings: How Didomi Transformed Privacy Compliance with AI

Discover how Didomi's legal team cuts workload by 50% with Dust's AI assistants.

Dust accelerates fast-moving companies with teams of specialized agents

Dust raises $16m in additional funding led by Sequoia and passes $1m ARR with 70% WAU/MAU on par with platforms like Slack.

Product

Dust Product Update 4

We've been hard at work improving Dust to help you work smarter with AI agents. We're thrilled to unveil Multi-Tool agents, a feature that fundamentally changes how AI agents operate within your organization: 🎉 Multi-Tool agents Why Multi-Tools is a game-changer: * Multi-step Thinking: your agents can now

Introducing: multi-tool agents

Dust assistants can now pick and choose from several tools, thinking in steps in order to best answer user queries. We’ve also expanded the list of tools that can be used. We believe this will help our users enhance an ever-growing set of workflows in their day-to-day.

How the Data Team Uses Dust at Dust

This story is brought to you by Thibault, part of the Business Operations team at Dust. Since starting at Dust 1 month ago, I've found our product invaluable. It helps me work more efficiently across a wide range of data topics, allowing me to get more done faster.

Customer Stories

PayFit Accelerates Content Creation and Knowledge Sharing with Dust

Discover how PayFit leverages Dust AI assistants to improve their internal processes.

Extract Structured Data from Unstructured Sources with AI

Have you ever wished you could organize all your written knowledge in a structured way? I'm talking about Slack discussions, support tickets, customer feedback... A ton of information gets lost and sits on a server forever. Today marks the end of an era. At Dust, we worked hard

Choosing the Right AI Model for Your Dust Agent

One of the most frequent questions we get is: “Which AI model should I choose when creating my agent?”. It’s a great question, and based on our experience extensively using all these models, we put together this guide to break down key differences and recommendations. Our hope is that

Product

Dust Product Update 3

GPT-4o - OpenAI's newest frontier model - is now available on Dust and we’ll be fast following with support for Google’s Gemini 1.5 Pro. We also released new agent templates and added automated suggestions to help you better prompt models. 🔄 Updated GPT-4 Model to GPT4o

Using Multiple AI Agents: A Pioneer's Perspective

Dust maximizes the potential of LLMs like GPT-4o, Claude 3, Gemini 1.5 Pro, and Mistral Large through innovative product layers. The real magic happens at the interface between people, company data, and top LLMs. Dust's approach enables businesses to leverage AI for transformative results fully.

Easily add AI to your Zendesk Help Center - Dust Apps Example #1

At Dust, our goal is to let you add AI to your company's life by making sure you get accurate answers from LLM models using your data. For that, we're building strong connectors that sync and organize data continuously to feed them at the right time

Builders Session #1

Equip everyone with LLMs - without needing engineers.

Product

Dust Product Update 2

Discover the latest updates from Dust, including access to Gemini 1.5 pro, SOC2 compliance, multi-file upload, and more. Unlock the full potential of your AI assistants and work smarter with Dust.

Customer Stories

How Dario, Associate to the CEO at November Five, Uses Dust

Discover how November Five accelerates work with Dust, turning 3-hour tasks into 30 minutes.

Product

Dust Product Update 1

Hi! Dust makes work work better with custom AI agents. The past month has been packed with powerful new features and upgrades.  ⛵️Mistral Large Now Available • You can now access Mistral Large via the new @mistral-large global agent (you can also use it to build custom agents). • Mistral Large, is

Engineering

How Vincent, Engineer at Alan, Uses Dust

Discover how Alan's engineering team speeds up projects 20% with Dust's AI assistant.

How Dust's Table Queries are Changing the Game for Quantitative Analysis with LLMs

Dust's latest capability, structured data analysis with table queries, marks a significant leap forward to help anyone in the company make the most of data.

Why Dust?

In this article, I'll expose the core motivations behind building Dust, how we believe the generative AI ecosystem will evolve and why we are building products at the intersection of models, human and productivity (instead of training models despite all the investor market pull to do so). There