Dust provides an operating system for building, deploying, and orchestrating custom AI agents within an organization. These specialized agents securely connect to internal knowledge bases and tools to automate workflows across departments like Sales, Engineering, and Support. The platform enables teams to create powerful, context-aware agents without code, integrating seamlessly with existing systems for enhanced productivity.
Funding
$61.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
A+11Founders
Product
Problem
Enterprises struggle with fragmented internal knowledge bases and repetitive manual workflows, making it difficult for teams to retrieve accurate information quickly or automate routine tasks without extensive engineering effort. Existing AI tools often lack centralized governance, secure data connections, and the ability to scale across multiple departments.
Solution
Dust provides an operating system for AI agents that lets organizations deploy, orchestrate, and govern fleets of specialized agents without writing code. The platform connects agents directly to corporate data sources—such as Slack, Google Drive, Notion, Confluence, and GitHub—through a context‑aware infrastructure that preserves data privacy. Agents can invoke multiple tool primitives (semantic search, data analysis, web navigation, API calls) to solve complex queries and automate workflows. Built-in governance features—including fine‑grained access controls, SSO/SCIM integration, and audit logging—ensure compliance with SOC 2, GDPR, and HIPAA standards. The model‑agnostic architecture lets teams leverage any LLM provider while keeping proprietary data off external training pipelines. A low‑code builder and Chrome extension enable rapid agent creation and instant deployment across the organization’s existing toolchain.
Target Audience
Primary customers are mid‑to‑large enterprises seeking to augment sales, support, engineering, product, and knowledge‑management teams with AI‑driven assistants, as well as developer groups building custom agent workflows across the organization.
Features
- OS‑level primitives for AI agents: orchestration engine, context injection, and multi‑tool execution framework
- Universal access layer with native connectors to Slack, Google Workspace, Notion, Confluence, GitHub, and custom APIs
- No‑code agent builder and Chrome extension for instant creation, testing, and deployment within minutes
- Fine‑grained permission model with Spaces, role‑based access, SSO/SCIM support, and enterprise audit logs
- End‑to‑end encryption at rest and in transit; data never used for external model training
- Compliance certifications: SOC 2 Type II, GDPR, optional HIPAA‑ready configurations with data residency controls
- Model‑agnostic runtime allowing integration with any LLM provider or on‑premise inference engine
- Integrated analytics dashboard for monitoring agent performance, usage metrics, and cost attribution