Dust alternatives at a glance
Comparison as of September 19, 2026
| Criteria | Dust (baseline) | Tricky Wombat | Glean | Microsoft Copilot Studio | ChatGPT Enterprise | Onyx |
|---|---|---|---|---|---|---|
| Best for | Teams that want to build their own AI agents on company data | Tricky Wombat fits teams with complex questions whose answers are spread across many sources | Large enterprises standardizing on one AI work platform | Companies building agents inside Microsoft 365 and Teams | Companies that want one general AI assistant for every employee | Engineering-led teams that must self-host |
| Rollout scope | Workspace-based, "from a single builder to thousands of seats," per Dust. Admins control data access through Spaces | Project by project, from a single team. Runs alongside existing search tools | Organization-wide. Minimum often 100 to 250 users (Vendr) | Per tenant, billed on Copilot Credits usage. A Teams-only plan comes with select Microsoft 365 subscriptions | Company workspace, sold only through OpenAI sales. No Enterprise seat minimum published. ChatGPT Business starts at 2 users, per OpenAI | Per deployment. Self-hosted or vendor-hosted |
| Deployment time | "No-code agents creation and customization in minutes," per Dust docs. No company rollout timeline published | Real time, as documents are uploaded | 4 to 5 weeks to first value for mid-sized companies (Glean Community) | First agent built and published "in minutes," per Microsoft Learn. Trial licenses cannot publish agents | No timeline published. Deployment playbooks and role-based training included | "In minutes" for a self-hosted install, per Onyx docs |
| Contract terms | Free plan with 500 lifetime credits. Business billed monthly or yearly. Enterprise: custom MSA and DPA | Monthly or annual. Enterprise: annual, with a 14-day pilot | Annual standard, 2 to 3 year terms common (Vendr) | Usage-based Copilot Credits. Free trial, extendable by 30 days | Through OpenAI sales only, no self-serve signup. Term set in each Order Form, length not published. Added seats reconciled in quarterly true-ups, per OpenAI | Community Edition: MIT license, no contract. Business: annual billing, free trial |
| Support model | Email on Business. Priority support with SLA, dedicated CSM and onboarding on Enterprise | Email with 2-business-day response (Starter) up to 1-hour response and a shared Slack channel (Enterprise). Onboarding by the engineers who built the product | Support assistant for all users. Tickets for designated support contacts | Microsoft support requests through the Power Platform admin center for GA features. Community forum | 24/7 support with SLA and dedicated account management on premium tiers | Community support on Business. Dedicated support with SLA on Enterprise |
| Integration depth | 70+ connectors and MCP servers. Up to 3 connectors on Business, unlimited on Enterprise | Confluence, Google Drive, Dropbox, Asana and file shares. Reads 1,000+ file formats | 250+ connectors | 1,000+ Power Platform connectors. Knowledge from SharePoint, Dataverse, uploaded files, websites and Copilot connectors | Apps including Slack, SharePoint, Google Drive, GitHub, Gmail, Outlook and HubSpot, plus custom MCP apps. No count published | 50+ connectors plus MCP |
| Vertical specialization | Horizontal. Engineering, support, sales, marketing and data teams | Mid-market professional and knowledge services | Horizontal, large enterprise | Horizontal, Microsoft 365 and Power Platform customers | Horizontal | Horizontal, technical teams |
| AI capabilities | 20+ models from OpenAI, Anthropic, Google, Mistral and others, chosen per agent. No training on customer data | Seven-step context pipeline before any model answers. All models on every plan. No training on customer data | Agent builder in natural language, model choice through Model Hub | Low-code agents, workflows and agent flows. Publish to Teams, Microsoft 365 Copilot and websites | GPTs, Projects, Apps, company knowledge and Codex. No training on business data by default | Custom agents with actions and MCP. Bring your own LLM |
| How answers are assembled | Semantic search over synced data sources, with optional file-level browsing in advanced search mode | Patent-pending clustering algorithm: groups related passages from every source, then selects the context before a model answers | Enterprise knowledge graph across connected apps (Futurum) | Generative answers from up to 25 knowledge sources per agent, filtered by each user's permissions, with in-text citations | Company knowledge runs several searches across connected apps, ranks sources by recency and quality, and cites them | Agentic RAG with hybrid indexing, using your own model |
Sources for every cell are listed at the end of this page.
Test it on the messy stuff
Every vendor demo runs on data the vendor chose. Your data has duplicate files, stale drafts and three versions of the same rate card. Accuracy on that data is the only number that predicts whether people keep using the tool after month two.
A Tricky Wombat pilot runs on your live data, with no fee and no contract for 14 days.
Run the same test on your two finalists:
- Collect 10 questions your staff asked in the last month. Include at least 3 that need facts from more than one source.
- Connect the same sources to both tools with the same permissions.
- Score every answer as correct and cited, correct but uncited, wrong, or no answer.
- Count confident wrong answers on their own line. A confident wrong answer costs more than no answer, because someone acts on it.
Tricky Wombat publishes the seven points where retrieval pipelines fail (opens in a new tab). Use the list as a scoring checklist for any vendor, including this one.
Why do companies look for a Dust alternative?
Teams that compare Dust with other tools agree on the goal: AI that answers from company data. The choice comes down to who does the work and where the data sits.
The first reason is the operating model. Dust asks someone to build each agent and decide which data it reads. Some companies want a search box that answers across every connected source on day one, which points toward Glean or, for one project at a time, Tricky Wombat.
The second is the stack. A company that runs on Microsoft 365 already has SharePoint, Teams and Entra ID permissions in place, and Copilot Studio builds agents on top of them.
The third is breadth. Some buyers want one assistant for writing, analysis and coding across every employee, with company data as one input among many. ChatGPT Enterprise is built for that.
The fourth is control. Security teams that require the index on their own servers look at an open-source option like Onyx.
Is Tricky Wombat right for you?
Tricky Wombat is built for firms where the answer to one client question often sits in three places: a proposal in Sales, a method in Delivery and a contract clause in Legal. Finding the closest-matching document is the easy part. Assembling the right context from all three is where answers go wrong. Tricky Wombat runs every question through a seven-step pipeline (query rewriting, GraphRAG, semantic analysis, clustering, reranking, statistical document selection and statistical chunking) before a model writes a word. The design follows one thesis: answer quality depends far more on the context a model receives than on which model you choose.
See how the seven-step pipeline works → (opens in a new tab)
You do not build an agent per question. A patent-pending clustering algorithm groups related passages from every connected source and selects the context for each question as it arrives.
The rollout matches how professional firms work. You deploy Tricky Wombat one project at a time, next to whatever tools you already use. A project is up and answering questions as soon as your documents are uploaded, and the engineers who built the pipeline run onboarding themselves, with no implementation partner in between.
Tricky Wombat is the wrong pick in two cases. If you want one platform rolled out to the whole company in a single step, with a library of agents that automate tasks across your apps, Dust, Glean or Copilot Studio is built for that. And the company runs a deliberately small, invite-only onboarding queue, so you may wait for a slot.
Choose it over Dust if your hardest questions draw on many sources, you want accurate answers without designing an agent for each use case, and you want a pilot on your own data before you sign.
Which other Dust alternative fits your team?
Each of these four wins a different situation. Pick the card that sounds like your company.
Glean: best for company-wide search and agents in one rollout
Glean starts from search and adds agents on top. It lists more than 250 connectors, an agent builder that works in natural language and model choice through its Model Hub. Glean says more than 85 percent of its customers use it across five or more departments.
Glean is sold to whole companies. Vendr reports minimums that often start at 100 to 250 users, with multi-year terms common, so plan the rollout and procurement together. Our Glean alternatives (opens in a new tab) page compares it with other search tools.
Choose it over Dust if you want every employee searching all company apps from one box, with agent building as a second step.
Microsoft Copilot Studio: best for companies that run on Microsoft 365
Copilot Studio is Microsoft's low-code studio for agents, workflows and agent flows. Agents publish to Teams, Microsoft 365 Copilot and websites, and makers draw on more than 1,000 Power Platform connectors. Knowledge comes from SharePoint, Dataverse, uploaded files, public websites and Copilot connectors, filtered by each user's Entra ID permissions. Microsoft Learn says you can build and publish a first agent in minutes.
Billing runs on Copilot Credits, and a trial license lets you build and test but not publish. Confirm which features the Teams-only plan in your Microsoft 365 subscription covers before you budget for the standalone product.
Choose it over Dust if your data and permissions already live in Microsoft 365 and your IT team manages the Power Platform.
ChatGPT Enterprise: best for one assistant for every employee
ChatGPT Enterprise gives each seat GPTs, Projects, Apps, company knowledge and Codex. Company knowledge searches connected apps such as Slack, SharePoint, Google Drive and GitHub, runs several searches to resolve conflicting information, and cites its sources. It respects the permissions in each connected app. OpenAI does not train on business data by default.
Company knowledge works with the apps OpenAI supports plus custom apps built on MCP. Map your document sources against that list before the trial.
Choose it over Dust if you want one assistant for writing, analysis and coding across the company, with company data as one input.
Onyx: best for teams that must self-host
Onyx publishes its Community Edition under the MIT license. Your team runs the full stack on its own infrastructure with Docker, Kubernetes or Helm, connects any model and builds custom agents with actions and MCP. The project has more than 32,000 GitHub stars and 50+ connectors. Its Enterprise plan adds SSO, on-premise deployment and an SLA. See our Onyx alternatives (opens in a new tab) page for more options in this group.
Self-hosting moves operations work to your team: upgrades, connector maintenance and uptime all become yours.
Choose it over Dust if company data must never leave your network.
Can you run Tricky Wombat alongside Dust?
Yes. Tricky Wombat does not ask you to replace anything. You deploy it one project at a time, connect only the sources that project uses, and give access only to the people on it. Your Dust agents keep running for the teams that built them.
The split works because the two jobs differ. Dust agents handle repeatable tasks well: draft the weekly support digest, summarize a Gong call, answer questions from one Notion space. A client engagement asks harder questions. What did we propose to a similar client in 2024, which contract terms did Legal reject, and how did Delivery scope the last three projects like this one? Those answers sit in proposals, method documents and contracts across three teams, and no single agent was built for them. A project-scoped deployment tunes retrieval to one engagement's documents and vocabulary.
In practice, a firm starts with one practice group or one high-stakes engagement. Tricky Wombat is answering its questions as soon as that team's documents are uploaded. Existing access rights stay intact for every question, and every answer cites the material it came from. Smaller teams use the same approach, which is why Tricky Wombat for small teams (opens in a new tab) runs on the same pipeline as the enterprise product.
Should you build agents or buy answers?
Agent platforms and search tools overlap, but they ask different things of your team. On Dust, Copilot Studio or ChatGPT Enterprise, someone designs each agent: its instructions, its data sources, its tools. That rewards teams with a clear, repeatable task and a person who owns it.
Search-first tools like Glean and Tricky Wombat start from the question. You connect sources once, and the retrieval layer decides what context each question needs. That suits questions nobody predicted, such as a partner asking how the firm scoped a similar engagement two years ago.
Most companies need both. Count how many of your 10 test questions map to a task someone could write an agent for. If most do, an agent platform fits. If most span several teams' documents, weight retrieval quality highest.
How should you choose an AI agent or search vendor?
Start with the questions your team asks every week. Some are simple lookups, like the travel policy or the latest rate card. Almost any tool on this page handles those. Others need facts from more than one team, like what you proposed to a similar client last year. Those harder questions are where tools differ, so give them the most weight.
Next, decide who will maintain it and whether you launch for everyone at once or start with one team.
Those answers usually point to a clear choice. If you run on Microsoft 365, start with Copilot Studio. If you want one assistant for every employee, look at ChatGPT Enterprise. If your data must stay on your own servers, look at Onyx. If you want company-wide search first, look at Glean, and if you want self-serve search without agents, see our GoSearch alternatives (opens in a new tab) page. If your hardest questions need answers pieced together from many sources and you want to start with one project, try Tricky Wombat.
Frequently asked questions
What is the best Dust alternative?
The best Dust alternative depends on your situation. Glean fits company-wide search and agents. Microsoft Copilot Studio fits Microsoft 365 companies. ChatGPT Enterprise fits one assistant for every employee. Onyx fits teams that must self-host. Tricky Wombat fits teams with complex questions whose answers are spread across many sources, and it runs alongside any of the others.
Can you use Tricky Wombat and Dust at the same time?
Yes. Tricky Wombat deploys one project at a time and connects only the sources that project uses, so it runs next to Dust without changing your agents. Teams keep Dust agents for repeatable tasks and use Tricky Wombat for client questions whose answers sit in proposals, method documents and contracts across several teams.
Is there an open-source Dust alternative?
Yes. Onyx publishes its Community Edition under the MIT license. You host it with Docker, Kubernetes or Helm, connect your own language model and choose from 50+ connectors plus MCP. Its Enterprise plan adds SSO, on-premise deployment and dedicated support with an SLA for teams that want vendor backing.
Is n8n a Dust alternative?
n8n answers a different need. It is a workflow automation platform with 500+ integrations and AI agent steps, built for technical teams that design each workflow. Dust focuses on agents that answer from company knowledge. n8n fits when the job is moving data between apps on a trigger. It can be self-hosted under a fair-code license.
Is Microsoft Copilot Studio a replacement for Dust?
Copilot Studio replaces Dust for companies whose data and permissions live in Microsoft 365. It builds low-code agents that publish to Teams and Microsoft 365 Copilot and draws on more than 1,000 Power Platform connectors. Companies with most documents in Google Drive, Notion or Confluence should confirm knowledge-source coverage for each system first.
Is Glean a Dust alternative?
Yes, with a different starting point. Glean starts from company-wide search across 250+ connectors and adds an agent builder. Dust starts from agents that builders connect to chosen data. Glean is sold to whole companies, often from 100 to 250 users, while Dust lets a single builder start on a free plan.
What is the best Dust alternative for a mid-sized company?
Look for a tool you can start with one team and test on your own data. Tricky Wombat deploys project by project and answers as soon as documents are uploaded. Copilot Studio fits mid-sized companies already standardized on Microsoft 365.
When should you start evaluating a Dust alternative?
On an annual Dust plan or a custom Enterprise agreement, start at least 90 days before renewal and check your contract for its notice period. A 14-day pilot on your own data, plus two to four weeks of procurement and security review, fits inside that window and gives you a real comparison before you decide.
How was this comparison researched?
Every competitor fact on this page comes from a public source listed below: vendor websites, documentation and help centers, Microsoft Learn, GitHub, Vendr, Futurum, GlobeNewswire and the Glean Community. All facts were verified on September 19, 2026 and are re-checked every quarter. Send corrections to info@trickywombat.ai.
Bring your messy stuff
Pick one project. Bring 10 real questions and your worst folders, and connect the sources that project uses. Tricky Wombat runs the pilot on your live data, next to the tools you already have, and scores the answers with you. You can end the pilot at any point during the 14 days with no fee and no contract.
Book a 20-minute fit call (opens in a new tab) | See how enterprise search works (opens in a new tab)
Product names are trademarks of their respective owners and are used here for identification only. No vendor on this page endorses Tricky Wombat. Competitor information comes from the public sources below, verified September 19, 2026. Features and terms change, so confirm current details with each vendor.
Sources
- Dust funding, customers and investors: GlobeNewswire, May 18, 2026 (opens in a new tab)
- Dust plans, contract terms, support, connectors per plan and models: dust.tt/home/pricing (opens in a new tab)
- Dust connectors, models and teams served: dust.tt (opens in a new tab). Integrations (opens in a new tab)
- Dust connections and admin control: Dust docs, Connections (opens in a new tab)
- Dust retrieval and advanced search mode: Dust docs, Search data sources (opens in a new tab)
- Dust agent creation time and onboarding: Dust docs, Welcome to Dust (opens in a new tab)
- Dust data handling and Spaces: dust.tt/home/security (opens in a new tab). Product (opens in a new tab)
- Glean seat minimums and contract terms: Vendr (opens in a new tab)
- Glean connectors, agent builder, Model Hub and revenue: Glean press release, May 28, 2026 (opens in a new tab). Knowledge graph: Futurum (opens in a new tab)
- Glean deployment time: Glean Community, Apr 2026 (opens in a new tab)
- Glean support: Glean support center (opens in a new tab)
- Microsoft Copilot Studio overview, channels and connectors: Microsoft Learn, Overview (opens in a new tab)
- Copilot Studio knowledge sources, limits and citations: Microsoft Learn, Knowledge sources (opens in a new tab)
- Copilot Studio licensing and trial: Microsoft Learn, Licensing (opens in a new tab). Setup time: Quickstart (opens in a new tab)
- Copilot Studio support: Microsoft Learn, Support (opens in a new tab)
- ChatGPT Enterprise features, support and data use: chatgpt.com/business/enterprise (opens in a new tab). Purchase and seats: OpenAI Help Center (opens in a new tab)
- ChatGPT company knowledge: OpenAI, Oct 23, 2025 (opens in a new tab). OpenAI Help Center (opens in a new tab). Apps: OpenAI Help Center (opens in a new tab)
- Onyx plans and support: onyx.app/pricing (opens in a new tab). Features, connectors and license: GitHub (opens in a new tab)
- Onyx deployment: Quickstart (opens in a new tab)
- n8n: n8n.io (opens in a new tab)
- Tricky Wombat deployment, support and plans: /price (opens in a new tab), /enterprise-search (opens in a new tab)
- ChatGPT pricing page and OpenAI Help Center (What is ChatGPT Enterprise) (opens in a new tab)
- OpenAI Help Center: Flexible pricing for Enterprise, Edu and Business, Token-based billing for ChatGPT Enterprise (opens in a new tab)