Dust

Dust is an artificial intelligence operating system that enables enterprise teams to build, deploy, and share large language model-based agents for workplace automation. Rather than relying on a single provider, the model-agnostic software platform connects multiple foundation models directly to proprietary company data and internal knowledge bases. This architecture allows information workers to safely create intelligent applications that are specifically optimized to execute complex daily tasks and improve overall operational efficiency. In June 2023, the venture-backed enterprise software company raised €5 million in a seed funding round led by Sequoia Capital. The financing also included participation from prominent technology executives, including Datadog co-founder Olivier Pomel and Alan co-founder Jean-Charles Samuelian. Dust was officially founded in February 2023 by Gabriel Hubert, a former product lead at Stripe, and Stanislas Polu, a former researcher at OpenAI.

High-Level Overview

Dust is an AI-native platform that functions as an operating system for smart teams, reshaping how organizations manage information, automate workflows, and collaborate. At its core, Dust enables companies to build, deploy, and orchestrate custom AI agents—specialized digital workers that understand company context, connect to internal tools and data, and automate complex tasks across departments. These agents are not generic chatbots but are tailored to specific team needs, from engineering and customer support to HR and legal, making them highly effective at augmenting human workflows rather than replacing them.

Dust serves enterprises and fast-growing startups seeking to break down knowledge silos, accelerate productivity, and innovate securely. The platform solves the problem of fragmented information and rigid automation by enabling dynamic, context-aware agents that can adapt to changing workflows and integrate seamlessly with existing infrastructure. With over 1,000 organizations already using Dust—including regulated industries—its growth momentum is fueled by rising demand for secure, scalable, and customizable AI solutions that empower both technical and non-technical users.

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Origin Story

Dust was founded in 2022 by Gabriel Hubert and Stanislas Polu, both veterans of leading tech companies like Stripe and OpenAI. Their vision emerged from firsthand experience with the limitations of traditional workflow automation and the untapped potential of large language models (LLMs) in enterprise settings. Recognizing that most AI tools offered one-size-fits-all assistants that failed to grasp organizational context, they set out to build a platform where teams could compose specialized AI agents from their existing infrastructure.

The idea crystallized as they observed the growing complexity of workplace tools and the inefficiencies caused by scattered knowledge and manual processes. Early traction came from dogfooding the product internally, with the Dust team relying on their own agents daily—a rare level of internal adoption for a startup. This hands-on approach allowed them to refine the platform’s orchestration capabilities and user experience, quickly attracting attention from investors and early enterprise customers.

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Core Differentiators

• Multi-Agent Orchestration: Dust enables teams to create specialized agents for distinct functions, rather than relying on a single generalist assistant. This approach delivers higher accuracy and efficiency across complex workflows.
• Context-Aware Infrastructure: Agents are deeply integrated with company data and tools, allowing them to access and act on information across silos—something most AI platforms cannot do securely or at scale.
• Enterprise-Grade Security & Governance: Dust offers robust permission frameworks, SOC 2 Type II, GDPR, and HIPAA compliance, making it suitable for regulated industries and large organizations.
• No-Code Customization: Non-technical users can build and manage agents, while developers have full API access for advanced integrations and automation.
• Dynamic Tool Selection: Agents automatically choose the right tools and models for each task, adapting to changing conditions without manual reconfiguration.
• Universal Access Layer: Dust connects seamlessly with popular SaaS tools (Google Drive, Notion, Slack, GitHub, etc.), eliminating the need for point solutions.

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Role in the Broader Tech Landscape

Dust is riding the wave of the “agent-first” shift in enterprise software, where AI is no longer just a feature but a foundational layer of work. The timing is critical: as companies accumulate more data and tools, the need for intelligent orchestration has become urgent. Dust sits at the intersection of generative AI, workflow automation, and enterprise security—a space where most solutions either lack depth or compromise on safety.

Market forces are strongly in Dust’s favor. The rise of LLMs has made it possible to build agents that understand context and act autonomously, while distributed teams and hybrid work models have increased demand for async, scalable knowledge management. Dust’s approach empowers organizations to move beyond fragmented point solutions and build a unified AI operating system, influencing how the broader ecosystem thinks about automation, collaboration, and digital transformation.

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Quick Take & Future Outlook

Dust is poised to become the backbone of AI-powered work, as more companies seek to build their own “Agent OS” rather than rely on off-the-shelf assistants. The next phase will likely see deeper integrations with enterprise systems, expanded agent capabilities (including multi-modal and real-time decision-making), and broader adoption across regulated sectors. As AI agents evolve from helpers to true collaborators, Dust’s focus on security, customization, and orchestration will position it as a leader in shaping the future of work.

Just as operating systems transformed personal computing, Dust is redefining how teams interact with AI—turning fragmented tools and scattered knowledge into a cohesive, intelligent workforce. For smart teams, the future of work isn’t just automated; it’s orchestrated.