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Dust
AI tool profile ·
A workspace where non-engineers build and run custom AI agents connected to Slack, Notion, GitHub, and other everyday tools.
81TriVista score
Category rank#8 in AI Agent Platforms and Orchestration
Baseline ELO1,536.5
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At a glance
What it does
Dust is a workspace for building and running custom AI agents. Users create agents with defined skills, knowledge, and tools, set up multi-agent workflows that run on a schedule or in response to an event, and build simple interactive dashboards called Frames. It is aimed at what Dust calls 'AI Operators,' people inside a company who manage agents for their team without relying only on engineers. It connects to more than 20 frontier models, including those from OpenAI, Anthropic, and Google, and to over 20 data sources such as Slack, Notion, GitHub, Google Drive, and Zapier, with Model Context Protocol support for custom connections. Dust holds SOC 2 Type II certification and supports single sign-on through Okta, Microsoft Entra ID, or JumpCloud, plus SCIM provisioning.
Where it can help
This fits a company that wants a few non-engineering staff to build and maintain their own agents day to day, using tools it already relies on like Slack and Notion, instead of routing every request through IT. A pilot with a Pro plan for one or two teams, such as customer support or marketing, is a reasonable way to test agent quality before a wider rollout. Published pricing lists a free tier with a one-time 500 credits, a Pro plan near 24 euros a month per seat billed yearly with 8,000 monthly credits, a Max plan near 120 euros a month with 40,000 credits, and custom Enterprise pricing above that; treat these as planning numbers in euros. Watch credit usage closely, since heavy agent use can burn through a plan's monthly allowance faster than expected.
Business Goals
Business goals to explore
Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.
Analyze documents
Summarize information, compare files, and identify key findings.
Automate sales proposal generation
Turn approved content and customer requirements into proposal drafts for your sales team.
Find company knowledge
Find answers across your documents and internal resources.
Generate executive KPI dashboards
Bring key business metrics together in dashboards and summaries for leadership.
Improve demand forecasting
Use historical trends and business data to plan for future customer demand.
Improve production scheduling
Plan production around orders, available capacity, materials, and delivery deadlines.
Improve shop floor productivity
Identify bottlenecks and support frontline teams with clearer work instructions and operational insights.
Optimize inventory levels
Balance stock availability with demand to reduce shortages and excess inventory.
Predict equipment maintenance needs
Use equipment data to spot potential issues and plan maintenance before breakdowns.
Reduce customer service response times
Find relevant answers, route requests, and help service teams respond to customers sooner.
Reduce procurement costs
Analyze spending, compare suppliers, and identify opportunities to improve purchasing.
Research external information
Explore external sources to support business decisions.
Company fit
Where this tool fits best
The industries and leadership roles this tool is most often matched with.
Industries
Manufacturing78%
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Technology Maturity Low Modeled score80.2 / 100 Modeled category rank#7
Baseline Moderate
Adjusted ELO 1,531.4
Change from baseline -6.7 ELO
Industry Healthcare and life sciences Modeled score81.9 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,541.1
Change from baseline +3.0 ELO
Industry Retail and distribution Modeled score80.9 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,535.6
Change from baseline -2.6 ELO
Industry Food and beverage Modeled score80.9 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,535.6
Change from baseline -2.6 ELO
Industry Energy and utilities Modeled score81.8 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,540.7
Change from baseline +2.6 ELO
Industry Financial and professional services Modeled score81.7 / 100 Modeled category rank#5
Baseline Consumer products
Adjusted ELO 1,540.2
Change from baseline +2.0 ELO
Revenue Band $100M-$500M Modeled score81.7 / 100 Modeled category rank#4
Baseline $25M-$100M
Adjusted ELO 1,540.1
Change from baseline +2.0 ELO
Industry Automotive and transportation Modeled score81.1 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,536.3
Change from baseline -1.8 ELO
Industry Technology and telecommunications Modeled score81.7 / 100 Modeled category rank#5
Baseline Consumer products
Adjusted ELO 1,539.9
Change from baseline +1.7 ELO
Revenue Band Over $2B Modeled score81.5 / 100 Modeled category rank#3
Baseline $25M-$100M
Adjusted ELO 1,539.2
Change from baseline +1.1 ELO
Revenue Band Under $25M Modeled score81.2 / 100 Modeled category rank#4
Baseline $25M-$100M
Adjusted ELO 1,537.4
Change from baseline -0.8 ELO
Industry Construction and real estate Modeled score81.5 / 100 Modeled category rank#5
Baseline Consumer products
Adjusted ELO 1,538.9
Change from baseline +0.8 ELO
Company Type Business services Modeled score81.3 / 100 Modeled category rank#4
Baseline Manufacturing
Adjusted ELO 1,537.8
Change from baseline -0.3 ELO
Revenue Band $500M-$2B Modeled score81.4 / 100 Modeled category rank#4
Baseline $25M-$100M
Adjusted ELO 1,538.4
Change from baseline +0.2 ELO
Industry Industrial manufacturing Modeled score81.4 / 100 Modeled category rank#4
Baseline Consumer products
Adjusted ELO 1,538.1
Change from baseline -0.1 ELO
Technology Maturity High Modeled score81.4 / 100 Modeled category rank#4
Baseline Moderate
Adjusted ELO 1,538.2
Change from baseline +0.0 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $57.8K | $91.9K | $149.2K |
| Three-year total | $121.4K | $184.7K | $288K |
| First-year cost per unit | $57.8K | $91.9K | $149.2K |
| Average annual cost per unit (over three years) | $40.5K | $61.6K | $96K |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $16.5K | $22K | $29.7K |
| Implementation | $9.6K | $16K | $27.2K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $6.3K | $9K | $12.6K |
| Security | $4.9K | $7K | $10.5K |
| Administration | $3.8K | $5K | $6.8K |
| Support | $1.9K | $2.5K | $3.4K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Dust and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Export Dust agents, instructions, knowledge scopes, tools, evaluations, schedules, usage, and audit history. Recreate managed connectors and memory on the replacement, and retain authoritative content outside the workspace so agent retirement does not remove the business record.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
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How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
dust.tt
Read official information →
Research observations recorded: 1. Evidence quality: Good support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 81.1/100Category rank #8
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TriVista Score 81.1/100Category rank #8
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