Dust

Build custom AI assistants that use your company’s real data to resolve customer issues faster and more accurately.

Stop using generic chatbots. Design and deploy powerful support assistants connected directly to your team's knowledge bases.

Best forBuilding custom, context-aware support assistants

DifferentiatorConnects directly to company data sources (Notion, Slack) to create highly contextual AI tools.

ProofSOC 2 Type II certified; supports models like GPT-4 and Claude.

Try Dust

Free Plan

8.7 Zekai

Powerful custom assistant builder.

AI for Customer Support & Experience

Ease of Use

7.8

Accuracy

9.2

Value

8.5

Time Saving

9.3

Custom WorkflowsKnowledge Base IntegrationMulti-LLMSOC 2 CertifiedAPI Access

📊 Independently tested and scored. How we score →

✍️ Reviewed by Zekai Editorial Team · Updated August 6, 2026

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Zekai Verdict

What is it?: Dust is a platform for building and deploying bespoke AI assistants.
Best for: Best for support teams that need to build custom, context-aware AI assistants rather than use an off-the-shelf chatbot.
Not ideal for: Requires technical expertise ('editors') to design and build effective assistants.
Price: Free plan
Zekai Score: 8.7/10

Visit official site ↗Compare alternatives →Why this score →

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⚡ Quick answer

For customer support and CX teams looking to build their own AI assistants, Dust is a top choice. It enables you to create powerful, context-aware tools by connecting directly to your company's internal knowledge bases like Notion, Slack, or Google Drive. This means your AI can provide accurate, relevant answers and automate complex workflows, rather than relying on generic information.

CategoryAI Assistant Builder

Best ForBuilding custom, context-aware support assistants

Price From$200/mo

FreeFree plan available

DifferentiatorConnects directly to company data sources (Notion, Slack) to create highly contextual AI tools.

ProofSOC 2 Type II certified; supports models like GPT-4 and Claude.

Rating4.4/5

📖 About Dust

Dust is a platform for building and deploying bespoke AI assistants. For customer support teams, this means you can create tools that understand your company's specific context by connecting directly to your data in Notion, Slack, and more, leading to better-automated resolutions and more capable agents.

How It Works

Your workflow, automated

Connect Your Data Sources

Securely link Dust to your team's knowledge hubs like Notion, Slack, or Google Drive.

Design Your Assistant

Define a multi-step workflow for your assistant, specifying which data it should use and what actions it should take.

Deploy to Your Team

Publish your assistant as an internal tool for agents or a customer-facing app to start automating support tasks.

Ready to automate your workflow with Dust?

Try Dust →

Real Impact

Before & After

❌ Before

Generic chatbots give irrelevant answers and frustrate customers.

High agent caseload

✅ After

AI assistants provide accurate, context-aware support based on internal data.

Automated ticket resolution

Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Qualify Leads with CRM and Usage Data

Analyze live usage data from [Snowflake] and cross-reference it with our Ideal Customer Profile (ICP) scoring in [HubSpot]. Identify leads that closely match our ICP and have high engagement with key features. Flag any d…

Automate Code Review for Standards and Compliance

Review the latest code changes in [repository/branch] to ensure adherence to [company coding standards]. Check for common security vulnerabilities and compliance issues based on [compliance checklist]. Provide automated …

Respond to Customer Incidents with Runbooks

Execute the automated runbook for [incident type, e.g., 'API Outage'] to diagnose and resolve the issue. Integrate with [communication channel, e.g., 'Slack'] to notify relevant teams and enable rapid root cause analysis…

Social Proof

Trusted by professionals

Ease of Use

7.8

Accuracy

9.2

Value

8.5

Time Saving

9.3

"The ability to build assistants on our own Notion database has been a game-changer. Our AI can now answer questions with 100% accuracy based on our approved documentation. It's powerful stuff."

Alex R., CX Operations Lead · June 2026

"We built a triage bot with Dust that has cut down our manual sorting time significantly. It understands the nuances of our product categories in a way no off-the-shelf tool ever could."

Samira K., Head of Support · May 2026

"It's an incredibly flexible platform, but you need someone technical to get real value. It's not for teams who want a simple plug-and-play chatbot. The 'editor' pricing model reflects that."

Brian T., Support Engineer · June 2026

"Finally, a way to make our knowledge base truly active. Instead of just sitting there, our documentation now powers automated responses. This has made my role so much more impactful."

Chloe D., Knowledge Manager · April 2026

Start Free Today →

Connects With

Works with your existing stack

Notion Slack Google Drive GitHub Intercom Microsoft 365

Setup complexity: Advanced

Comparison

How it compares

Dust vs. Intercom Fin: Choose Dust when you need to build deeply customized, multi-step AI workflows connected to diverse data sources like GitHub or internal databases; its power lies in its flexibility for teams with building resources. Opt for Intercom's Fin when you need a more integrated, out-of-the-box AI chatbot that works seamlessly within the Intercom ecosystem and requires less technical setup. Fin is for instant deployment within Intercom; Dust is for bespoke creation for any environment.

You need a fully managed, out-of-the-box AI chatbot with no building required.

Your team does not have a technical member to dedicate to building and maintaining AI assistants.

Your primary need is a simple live chat tool rather than a powerful automation platform.

The decision

Is it worth it?

Return on investment

By automating ticket triage and response drafting, a team with one editor on the $200/mo Pro plan can save dozens of agent hours per week.

Built for

CX Operations Managers, Support Team Leads, and technical support staff responsible for building and scaling automation.

Effort to adopt

Advanced

Compliance

Dust is SOC 2 Type II certified and GDPR compliant. Data is processed in a secure, single-tenant environment.

Who It's For

Why Customer Support & Experience choose this tool

🎯

Built for

Best for support teams that need to build custom, context-aware AI assistants rather than use an off-the-shelf chatbot.

In-Depth Overview

Generic AI tools fail customer support because they lack context. Dust solves this by letting you build assistants directly on top of your own company knowledge. Instead of giving canned, irrelevant answers, your Dust-powered assistants can access real-time information from your internal Notion pages, Slack conversations, and Google Drive. This allows you to design highly specific workflows, such as an AI that triages new tickets by cross-referencing user issues with your documentation, or one that drafts support responses grounded in your official help articles. The platform is model-agnostic, meaning you can choose the best large language model (like GPT-4 or Claude) for each specific task. This level of customization empowers your team to move beyond simple chatbots and create sophisticated, automated systems that actually resolve complex customer problems, freeing up your agents to handle high-value interactions.

Key Use Cases

🎧

Automate Ticket Triage with Full Context

Support Ops Manager

Build an assistant that reads incoming support tickets, queries your internal knowledge base in Notion, and automatically categorizes the ticket, assigns it to the right team, and suggests a draft response.

Reduced manual triage time by 70%

🧑‍💻

Draft Accurate Technical Responses

Technical Support Engineer

Create an internal tool that accesses product documentation and GitHub issues to help agents draft precise, technical answers to complex user problems, ensuring consistency and accuracy.

Improved first-contact resolution for technical queries

✓ Pros

Creates highly contextual, accurate AI responses based on your data.

Flexible and powerful, allowing for complex, multi-step workflows.

Model-agnostic lets you choose the best LLM for each support task.

Secure data connections and SOC 2 Type II compliance.

Centralized management of all company-built AI assistants.

Free tier available for building and testing small-scale apps.

· Cons

Requires technical expertise ('editors') to design and build effective assistants.

Pricing is per 'editor' seat, which can be costly if multiple team members need to build.

Not an out-of-the-box solution; value depends entirely on your team's building efforts.

Steeper learning curve than plug-and-play support chatbots.

⚡ Editorial Verdict

Dust is a uniquely powerful platform for teams ready to graduate from generic chatbots. Its strength is connecting to your live data, enabling assistants that provide truly contextual support. The main trade-off is its complexity; it's a builder's tool, requiring a technical team member to design and maintain the assistants.

See all Customer Support & Experience AI tools → Browse the AI Directory →

Questions & Answers

Frequently asked questions

How does Dust help a customer support team specifically?

Dust allows you to build custom AI assistants that are connected to your company's actual data sources (like Notion, Slack, Intercom). This means you can create automated workflows for tasks like ticket triage, response drafting, and knowledge retrieval that are far more accurate than generic chatbots.

Do I need to be a developer to use Dust?

You need team members, which Dust calls 'Editors', who are comfortable designing logical workflows. While deep coding isn't required for everything, a technical mindset is necessary to build and maintain effective assistants. It is not a no-code, plug-and-play tool.

Can I use my existing knowledge base with Dust?

Yes, this is a core feature. Dust can connect to data sources like Notion, Google Drive, Slack, and Intercom, allowing your AI assistants to use your existing knowledge base to answer questions and execute tasks.

Is Dust secure for handling customer data?

Dust emphasizes security. The platform is SOC 2 Type II certified and GDPR compliant. It processes your data in a secure, single-tenant environment to ensure your company and customer information remains protected.

Can Dust assistants be used by the entire support team?

Yes. Once an 'Editor' builds and deploys an assistant, it can be made available to the entire team. The pricing model is based on the number of builders ('editors'), not the number of end-users (your agents).

What kind of AI models does Dust use?

Dust is model-agnostic, meaning you can choose from various leading large language models like OpenAI's GPT-4, Anthropic's Claude, and others to power your assistants. This allows you to select the best model for each specific support task.

Last reviewed: June 2026 — Assessed platform capabilities for building custom support workflows and data source connectivity.

Plans & Pricing

Start today

Free

Get Started Free

Enterprise

Pricing on request

Tailored for teams and large organisations.

Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

Customer Support & Experience

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Dust Alternatives (2026)

The best alternatives to Dust — every tool below is tested and scored by Zekai.

Compare	Dust	HeyDeacon	DeepL
Zekai Score	8.7/10	9.4/10	9.3/10
Rating	4.4/5	4.7/5	4.7/5
Pricing	$0	$149/mo	$26.00/mo
Free tier	Yes	Yes	Yes
Best for	Best for support teams that need to build custom, …	Scaling customer support and user onboarding for s…	Delivering fast, accurate, and secure multilingual…

HeyDeacon DeepL Open.cx CoSupport AI Signals LimeChat Observe.ai InsertChat

Free guide

Take it with you

Getting Started with Custom Support AI

**Why Generic Chatbots Fail:** Understand the limitations of AI that doesn't know your business.
**The Power of Context:** How connecting to your data (Notion, Slack) creates better answers.
**Use Case: The Triage Bot:** See how a custom assistant can categorize and assign tickets automatically.

**Use Case: The Agent Co-pilot:** Learn how to build a tool that helps agents draft perfect responses.
**Choosing the Right LLM:** A quick guide to picking between models like GPT-4 and Claude for support tasks.

+3 more steps inside the guide

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AI Directory

Disclaimer

Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Dust unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →

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Dust

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Your workflow, automated

Before & After

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Trusted by professionals

Works with your existing stack

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