What is Dust
Deploy secure, model-agnostic AI assistants integrated with your company's data. Dust enables cross-department automation for engineering, sales, HR, and customer support with real-time knowledge management.
Overview of Dust
- No-Code AI Automation Platform: Dust enables organizations to create custom AI assistants through a visual interface without coding expertise, targeting repetitive knowledge work across departments like sales, HR, and operations.
- Enterprise Knowledge Integration: The platform connects directly to company data sources including CRMs (Salesforce), document systems (Notion), and communication tools (Slack), providing context-aware responses through Retrieval-Augmented Generation (RAG).
- Cross-Functional Productivity Solution: Designed as an AI operating system, Dust reduces time spent on administrative tasks by 20-50% through automated workflows while maintaining SOC 2 Type II compliance for enterprise-grade security.
Use Cases for Dust
- Sales Pipeline Acceleration: Automates prospect research by analyzing CRM entries against public data sources to generate targeted outreach briefs.
- HR Self-Service Portal: Resolves 80%+ routine employee queries about benefits/policies through AI assistants trained on internal handbooks and past ticket resolutions.
- Technical Documentation Maintenance: Continuously updates API docs by cross-referencing GitHub commits with Slack discussions using Snowflake data warehouse integration.
Key Features of Dust
- Semantic Search Engine: Instantly surfaces relevant information from connected SaaS platforms using vector embeddings and proprietary chunking strategies.
- Multi-Model Orchestration: Supports switching between LLM providers (GPT-4/Claude-Opus) per task while maintaining conversation history and context awareness.
- Template Library: Pre-built assistants for common workflows including lead research automation, meeting note generation (Google Meet/Gong integration), and investor update drafting with dynamic data visualization exports.
Final Recommendation for Dust
- Optimal for Distributed Teams: Particularly effective for organizations using >50 SaaS tools where critical knowledge becomes fragmented across platforms.
- Ideal for Process Standardization: Recommended for companies scaling operations that require consistent execution of complex workflows without expanding support teams.
- Essential for Regulated Industries: SOC 2 compliance makes it suitable for financial services/healthcare sectors needing audit trails for AI-generated content.
Frequently Asked Questions about Dust
What is Dust?▾
Dust is a web platform for building, running, and sharing AI-powered applications and workflows that combine data, code, and model outputs into reusable projects.
How do I get started with Dust?▾
Create an account at dust.tt, open a workspace, and try a template or import your data; most users begin by connecting a model API key or uploading documents and iterating from there.
What kinds of projects can I build on Dust?▾
Typical projects include chatbots, document question-answering, data-processing pipelines, prototyping model-based automations, and small production endpoints that combine code and model calls.
Is Dust free to use and what are the pricing options?▾
Platforms like Dust commonly offer a free tier for experimentation plus paid plans for higher usage, team features, and enterprise controls; check dust.tt/pricing for the most up-to-date plan details.
How does Dust handle data privacy and security?▾
You can generally expect encrypted transport and storage, workspace-level access controls, and admin permissions; consult Dust’s privacy policy and security docs on the site for specifics and compliance information.
Which models and integrations does Dust support?▾
Dust typically integrates with external model APIs and common data sources via connectors or API keys, and often supports running or routing to different model runtimes; see the integrations page for exact supported services.
Can I collaborate with teammates on Dust projects?▾
Yes — Dust provides shared workspaces, role-based permissions, and versioning so teams can collaborate on projects, review changes, and manage access centrally.
How do I move a Dust project to production?▾
Most users deploy by publishing an endpoint or app from the workspace, testing in staging, and connecting monitoring and CI/CD hooks where available; follow the deployment guides in Dust’s documentation for recommended practices.
Can I export my data and backups from Dust?▾
Platforms like Dust usually allow exporting datasets, logs, and project files or connecting to external storage for backups; check the documentation for supported export formats and retention policies.
Where can I get help if I run into issues?▾
Start with Dust's documentation and FAQs on dust.tt, join the community or forum if available, and contact support through the in-app or website support channels for account- or incident-specific help.
User Reviews and Comments about Dust
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