Dust logo
AI/ML
Enterprise SaaS

Dust

Multiplayer AI for human-agent collaboration. Dust is where people and agents collaborate as co-contributors, so that work doesn't just get done – it gets rewired.

Paris· 13 rolesSan Francisco· 7 rolesNew York· 2 roles

CORE INFO

$40M
Total Funding
Series B
Round
2023
Founded
51-200
Team Size
Paris, France
Headquarters

Dust is an enterprise AI platform that enables teams to collaborate with AI agents using shared company knowledge and workflows, enhancing productivity across organizations.

  • Dust serves over 3,000 organizations globally, including notable clients such as Datadog and 1Password.dust.tt
  • The platform integrates with enterprise tools like Slack, Notion, and Google Drive, and is model-agnostic, allowing users to switch between AI models from leading providers.dust.tt
  • Dust raised $40 million in a Series B funding round led by Abstract and Sequoia, with participation from Snowflake Ventures and Datadog.globenewswire.com

WHY WE WOULD WORK AT DUST

Transform Workplace Dynamics

Join a mission-driven team dedicated to revolutionizing how humans and AI collaborate, enhancing productivity across over 3,000 organizations globally.

Innovative Technology

Work with a cutting-edge, model-agnostic AI platform that integrates seamlessly with tools like Slack and Notion, enabling teams to leverage shared knowledge effectively.

Collaborative Culture

Experience a unique 'multiplayer' environment where teamwork thrives, allowing you to collaborate directly with AI agents as equal contributors.

Competitive Compensation

Benefit from a robust funding of $40M in Series B, ensuring competitive salaries and resources for employee growth and development.

Proven Impact

Be part of a company that achieved zero customer churn and a 240% net revenue retention rate, showcasing the effectiveness of its innovative solutions.

Continuous Learning

Engage in a dynamic work environment that encourages innovation and personal growth, with opportunities to explore the latest advancements in AI technology.

MARKET AND TRACTION

NOTABLE CUSTOMERS

  • Dust serves over 3,000 organizations globally.

  • Notable clients include Datadog and 1Password, showcasing its appeal to leading enterprises in various sectors.

  • The platform's versatility allows it to cater to a wide range of business functions across different industries.
  • KEY METRICS

    ✦ KEY METRIC
  • As of May 2026, Dust has achieved 51,000 monthly active users, indicating strong user engagement.

  • The platform has deployed over 300,000 AI agents across its user base, highlighting its scalability and effectiveness in enhancing productivity.

  • Dust reported zero customer churn in 2025, alongside a remarkable 240% net revenue retention rate, demonstrating high customer satisfaction and loyalty.
  • GROWTH TACTICS

  • Dust focuses on creating a collaborative AI environment, allowing teams to work alongside AI agents, which enhances productivity.

  • The platform integrates seamlessly with popular enterprise tools like Slack, Notion, and Google Drive, making it easy for organizations to adopt and utilize.

  • By being model-agnostic, Dust enables users to switch between various AI models, providing flexibility and catering to diverse organizational needs.
  • TOTAL ADDRESSABLE MARKET

  • Dust operates within the enterprise AI market, which is rapidly growing as organizations seek to enhance collaboration and productivity.

  • The platform targets a broad range of business functions, including Sales, Customer Support, Marketing, Engineering, Legal, HR, IT, and Data & Analytics, indicating a vast potential customer base.
  • COMPETITIVE ADVANTAGE

  • Dust's unique 'multiplayer' approach to AI collaboration sets it apart from traditional AI tools that operate in isolation.

  • By enabling equal collaboration between humans and AI agents, Dust rewires traditional workflows for improved efficiency and productivity.

  • The ability to integrate with multiple leading AI models and enterprise tools enhances its adaptability and appeal to organizations.
  • PRODUCT AND TECH

    Collaborative AI Platform

    Dust's core offering is a collaborative AI platform that enables teams to work alongside AI agents in a multiplayer environment, enhancing productivity through shared knowledge and workflows.

    Model-Agnostic Integration

    The platform supports a model-agnostic approach, allowing users to seamlessly switch between various AI models from leading providers like OpenAI and Google, ensuring flexibility and adaptability in AI usage.

    Enterprise Tool Integration

    Dust integrates with popular enterprise tools such as Slack, Notion, and Google Drive, facilitating a smooth workflow and enhancing collaboration across different business functions.

    Zero Customer Churn

    Dust has achieved zero customer churn, reflecting its strong value proposition and customer satisfaction, which is critical for long-term growth and retention in the competitive AI landscape.

    High User Engagement

    With over 51,000 monthly active users and 300,000 deployed agents, Dust demonstrates significant engagement and adoption, indicating its effectiveness in transforming workplace dynamics.

    COMPANY CULTURE

    Values

  • Collaboration between humans and AI agents is paramount

  • Equal contribution from team members and AI is encouraged

  • Innovation and adaptability drive our mission

  • Commitment to enhancing productivity through shared knowledge

  • Focus on transforming traditional workflows for efficiency
  • Operating Principles

  • Foster a 'multiplayer' environment for teamwork

  • Integrate seamlessly with existing enterprise tools

  • Embrace a model-agnostic approach for flexibility

  • Prioritize user experience and ease of use

  • Encourage continuous feedback and improvement
  • Benefits

  • Enhanced productivity through collaborative AI interactions

  • Access to a wealth of shared company knowledge

  • Improved efficiency in workflows and processes

  • Ability to leverage multiple AI models for diverse needs

  • Support for various business functions across the organization
  • Learning & Growth

  • Opportunities for professional development in AI and collaboration

  • Regular training sessions on new tools and technologies

  • Encouragement of innovative thinking and problem-solving

  • Access to resources for continuous learning and adaptation

  • Mentorship programs to support team members' growth
  • Team Cadence

  • Regular team meetings to align on goals and progress

  • Agile work practices to adapt quickly to changes

  • Open communication channels for feedback and ideas

  • Collaborative projects that involve cross-functional teams

  • Celebrating successes and learning from challenges together
  • HIRING SIGNAL

    22
    Open roles on their careers page
    Snapshot via live ATS poll
    Net new roles in the last 90 days
    Available once weekly history accrues
    90-Day VelocityV2 · BACKFILL
    Trend builds weekly as historical rows accrue
    By Function
    Breakdown of open roles
    Other · 1
    GTM · 6
    Design · 2
    Product · 1
    Support · 3
    Marketing · 4
    Operations · 1
    Engineering · 4
    Top Locations
    Where hiring is concentrated
    Remote-eligible postings counted separately
    Paris
    13
    San Francisco
    7
    New York
    2
    SourcesGreenhouseLeverAshbyWorkableSmartRecruitersRipplingRecruiteeFallback · Wellfound, YC Work-at-a-Startup, careers-page scrape

    KEY COMPANY ANNOUNCEMENTS

    Filter
    12 announcements · ranked by importance
    May 21, 2026FUNDINGDust raises $40M Series B to scale multiplayer AI for human-agent collaborationdust.tt
    May 18, 2026FUNDINGDust raises $40M to make AI multiplayer inside theglobenewswire.com
    Jun 1, 2023FUNDINGDust - AI Agents, $62M Raised - Investors & Rounds | InforCapitalinforcapital.com
    Mar 8, 2023PRODUCTDust XP1 switches to GPT-3.5-turbo, is now free to usedust.tt
    Jun 27, 2023PRESSDust uses large language models on internal data to improve team productivity | TechCrunchtechcrunch.com
    Apr 24, 2026PRESSAn Engineer's Day at Dustdust.tt
    Apr 23, 2026PRESSDust converging on sandboxes and general-purpose agentsdust.tt
    Jan 14, 2026PRESSHive: Engineering at the Speed of AIdust.tt
    Oct 29, 2025PRESSInfrastructure behind Dust deep-dive agentblog.dust.tt
    Jul 1, 2025PRESSHow Dust taught AI agents to navigate company data like a filesystemblog.dust.tt
    Feb 6, 2023PRESSDust.tt: Design and Deploy Large Language Model Appsdust.tt
    Oct 22, 2022PRESSShow HN: Wedding thank you notes auto-drafted with Dust and GPT3dust.tt