Sanaf AI Solutions vs Dust
The short answer: Dust gives each person a seat and a monthly credit allowance so they can build and run agents against your company knowledge, which suits a team where several people want to build. Sanaf is one AI employee the whole workspace shares, hired into jobs with a written description, approval rules per kind of action, and a work log, working in Slack, Microsoft Teams and its own chat. Choose Dust if you have builders and want each of them equipped. Choose Sanaf if you want one colleague everybody delegates to, billed for the work rather than the headcount.
Last updated 2026-09-04. Competitor details describe their model, not their current plans or prices; check their site for those.
Read from Dust’s own pages on 2026-09-04: Pricing page.
An illustration of how the conversation reads, not a transcript from a client account.
Dust is a serious product with a clear idea: agents work best when they are grounded in your company knowledge, and the people closest to the work should be the ones building them. Seats come in tiers with different model access and credit allowances, and you can mix them across a workspace.
That model rewards a team with builders in it. It costs more as the team grows, and it assumes several people want to spend time shaping agents, which in most businesses is not true.
Sanaf is the other shape. One employee, hired into jobs, shared by everyone. Nobody buys a seat to ask it for something, and the bill moves with how much work it does rather than with how many people are in the workspace.
How the two models differ
| Dimension | Sanaf AI Solutions | Dust |
|---|---|---|
| What you get | Sanaf AI Solutions: One AI employee the whole workspace shares, with a job description per job | Dust: Agents your people build, with a seat for each person who needs one |
| Where it works | Sanaf AI Solutions: Slack, Microsoft Teams, and its own chat in the console | Dust: Their web app, with connections into your company tools |
| Who sets it up | Sanaf AI Solutions: You write the job in plain words; everyone else just asks | Dust: The people who build agents, seat by seat |
| Adding a person | Sanaf AI Solutions: Free. Anyone in the workspace can ask it for something | Dust: Another seat on the plan |
| Approvals | Sanaf AI Solutions: Per kind of action: do it, ask, or never, with conditions; stricter when unattended | Dust: Set within the agents you build |
| Trial period | Sanaf AI Solutions: Shadow mode first: it drafts, you review, you promote it a level at a time | Dust: You test the agent, then share it |
| Pricing model | Sanaf AI Solutions: Free to start with $120 of credit and no card, then credits from $20 as you need them. They never expire, and you pay for the work, not per seat | Dust: Per seat per month in tiers, each seat carrying a monthly credit allowance, with an enterprise tier quoted by their sales team |
| Best for | Sanaf AI Solutions: A small team that wants one colleague to delegate to | Dust: A team with several people who want to build agents themselves |
Choose Dust if
- You have people who want to build agents, and equipping each of them is the point.
- Grounding answers in a large body of company knowledge is the main job.
- You want to mix seat tiers so heavy users get more model access than light ones.
- Your headcount is stable enough that per-seat pricing is predictable for you.
Choose Sanaf AI Solutions if
- You want one hire the whole team shares, and no seat to buy before someone can ask for something.
- You want the work done in Slack or Microsoft Teams rather than in another web app.
- You want the bill to follow the work rather than the headcount.
- You want a shadow period and rules per kind of action before it acts on its own.
Frequently asked
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How does pricing differ?
Do I need a seat for everyone at my company?
Can I build my own jobs?
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