Dust

Dust

Description of Dust AI

Dust is a platform for creating AI agents and assistants that connect to corporate systems and help teams find information and automate routine tasks. The platform solves the common problem of data scattered across dozens of systems, where employees spend hours searching for the information they need: Dust lets every department have its own AI assistant that instantly finds data across all corporate sources.

Agents are powered by GPT-4, Claude, and Mistral models and connect to tools such as GitHub, Google Drive, Notion, Slack, and CRM systems. Instead of switching between multiple tabs, employees simply ask an agent a question and get a ready answer with links to sources. Users can use ready-made assistants based on advanced models or create custom ones with their own instructions and the ability to upload company data.

Approach to working with information

Dust turns scattered corporate data into a structured resource. Agents connect to knowledge bases and work tools, synchronize information, and use it to prepare answers. This reduces the time spent searching for information and removes the need for employees to access a dozen different systems.

Configuration flexibility

The platform offers teams two paths: use ready-made assistants based on advanced models for common tasks, or create their own agents with individual instructions and access to corporate data. This flexibility allows the tool to be adapted to the specifics of any department.

Dust characteristics

Characteristic	Value
Type	AI platform
Category	Text
Base models	GPT-4, Claude, Mistral
Russian language	Yes
Russian interface	No
Availability	WEB
Distribution model	Freemium

Who is Dust AI for?

Dust is aimed at teams that want to work more efficiently with AI and improve workflows. The platform will be useful for organizations where information is distributed across many systems and employees need to quickly find the right data.

Teams by department

Each department can get its own AI assistant tailored to its tasks. For example, in sales, an agent analyzes the CRM and helps prepare materials; in marketing, it creates content; in technical support, it answers user questions.

Companies with distributed data

The platform suits organizations that use many work tools — GitHub, Google Drive, Notion, Slack, and CRM systems — and want to consolidate this data into a single point of access for employees.

How to use Dust AI?

Dust can be used through a workspace where ready-made assistants based on advanced models and tools for creating your own agents for specific tasks are available.

Setting up agents

The agent setup process takes a few minutes. You need to select a department, specify data sources, and configure access rights — after that, the agent is ready to work. If necessary, you can create customized assistants with your own instructions.

Data synchronization

The platform allows you to synchronize corporate knowledge bases so that assistants use this data when preparing answers. This improves the quality and relevance of responses, since the agent works with current company information.

Main features of Dust

Two types of assistants

The platform offers assistants based on advanced models for common tasks and custom assistants with individual instructions and uploaded company data.

Team workspace

Dust provides a shared workspace for collaboration among colleagues and synchronization of the data that assistants use for responses.

Working with text

The platform supports text recognition, summarization, translation, and generation, as well as LLM embedding for finding relevant documents among corporate sources.

Performing actions

Agents not only answer questions but also perform actions: they create reports from data, update documentation, route requests, and generate FAQs from resolved tickets. The platform integrates with APIs, Google Sheets, and Zapier to automate complex business processes.

Advantages of Dust

Speed of access to information

Agents instantly find the necessary data from all corporate sources, saving employees from lengthy searches. Answers are accompanied by source links, which increases their credibility.

Automation of routine tasks

Routine operations — creating reports, updating documentation, routing requests — are delegated to AI. This allows employees to focus on creative and strategic work.

Automation of complex processes

One agent can collect data from multiple sources, process it, and pass the result to another system without human involvement. Integrations with APIs, Google Sheets, and Zapier expand automation capabilities.

Russian language support

The platform supports Russian, making it convenient for Russian-speaking teams.

Disadvantages of Dust

The disadvantages of the platform include the lack of a Russian-language interface: although Russian is supported for working with text, the interface itself is only available in other languages. Also, the exact terms of pricing plans and specific free usage volumes are not disclosed in the source data, so they should be clarified on the platform's official website.

What tasks does Dust solve?

Company questions answered

Agents answer questions related to the company's activities, relying on synchronized corporate data and providing links to sources.

Document creation

The platform helps create documents and simplify complex topics, which is useful for preparing materials, reports, and presentations.

Text processing

Dust supports text recognition, summarization, translation, and generation, covering a wide range of information-processing tasks.

Process automation

The platform automates routine tasks: generating reports, updating documentation, routing support requests, and generating FAQs.

Dust pricing

Dust is distributed under the freemium model: the platform provides access to basic features free of charge, while extended features and volumes are available in paid plans. Specific prices and the composition of paid plans are not indicated in the source data, so they should be clarified on the platform's official website.

Terms of use for Dust

The platform pays attention to corporate data security: it works with SOC2 certification and a zero data retention policy. Information does not leave the company's secure environment, and agents only get access to the data that is allowed for a particular employee. Such measures ensure control over access and protection of corporate information.

Dust availability

Dust is available as a web service (WEB). The platform supports Russian for working with text, but the interface is only available in other languages (not Russian). This should be taken into account by teams accustomed to a Russian-language interface: however, the functionality itself is not limited for Russian-speaking users.

How does Dust differ from alternatives?

The main difference of Dust is the combination of customizable AI agents with access to corporate knowledge bases and the ability not only to answer questions but also to perform actions. The platform connects to work tools — GitHub, Google Drive, Notion, Slack, and CRM systems — and gives agents access to corporate data with answers linked to sources. This sets it apart from many tools that either only generate text or do not support integration with a company's work systems.

Another distinctive feature is the focus on security: SOC2 certification and a zero data retention policy, as well as access rights settings for individual employees. Combined with Russian language support, Dust makes working with AI accessible to teams handling distributed corporate data.

Conclusion

Dust is a platform for creating AI agents that connect to corporate systems, help find information, and automate routine tasks. Powered by GPT-4, Claude, and Mistral models, the platform consolidates a company's scattered data into a single point of access, allowing each department to have its own assistant. Thanks to simple setup without the need for programming, Russian language support, and attention to corporate data security, Dust will be a useful solution for teams that want to improve information workflows and delegate routine operations to AI.