Company profile

Dust

Break down knowledge silos and amplify team performance with data-augmented, customizable and secure AI agents. Deploy in minutes, no coding required.
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Live profile

Last verified 5 months ago
kustiq.com/company/dust.tt · cite this page

Break down knowledge silos and amplify team performance with data-augmented, customizable and secure AI agents. Deploy in minutes, no coding required.

Employees

51-200

AI Classification

DataAIAI/ML Platform

Dust is an enterprise AI agent platform that enables organizations to build, deploy, and orchestrate fleets of custom AI agents connected to internal data sources such as Slack, Notion, GitHub, Confluence, and Salesforce. The company targets mid-market and enterprise teams across sales, engineering, customer support, HR, and legal, with SOC 2 Type II certification and GDPR/HIPAA compliance capabilities.

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Social Links

Competitors

GleanChatGPT

Dust is one of 2,676 B2B companies in the Kustiq directory.

Dust sits among 114 ai / ml platform companies in our Data & AI directory.

Similar profiles: Loom, Betterworks, Graphy, and Linear.

Both sit in the 51-200 headcount band. See Dust vs Loom side by side.

Both sit in the 51-200 headcount band. See Dust vs Betterworks side by side.

Both sit in the 51-200 headcount band. See Dust vs Graphy side by side.

Segment benchmark

How Dust compares with other AI/ML Platform companies

Dust is one of 114 AI/ML Platform companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.

Dust sits in the 51-200 headcount band. 46% of the 93 segment peers with a known team size are smaller. 29% of those peers share the same band.

The most common tech detections across the 32 peers with a visible stack are Next.js (47%), Vercel (44%), and Google Analytics (38%). Dust lists none of them.

Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%).

The median founding year across 32 peers with a known founding date is 2019.

Toronto is the most common HQ city in this segment, home to 11% of the 18 peers with a known location.

Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.

How Kustiq built this profile

How this profile was built

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
  • Claude only picks the buckets. It never decides facts.
  • 12-factor churn engine. Deterministic score, zero LLM at scoring time.
  • SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).

This profile was built from 2 rendered pages of dust.tt and search coverage across the live web on .

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Frequently asked questions

How many employees does Dust have?
Dust has 51-200 employees, based on public sources read at the last profile run. That makes it larger than 46% of the 93 profiled AI/ML Platform peers with a known team size.
What industry is Dust in?
Dust is a DataAI company in the AI/ML Platform segment.
Who are Dust's competitors?
Public sources list Glean and ChatGPT as Dust competitors. The list comes from live search coverage at the last profile run, not a static database.
Is this profile actually verified, or just generated by AI?
The structured fields come from a hybrid pipeline. Facts (location, employee range, funding, tech stack) come from live web rendering plus Serper search across the company site, LinkedIn, press, and GitHub. Claude only picks the buckets: vertical, segment, growth signal. It never decides facts. Contact emails on full profiles pass an SMTP RCPT TO handshake at delivery time.
How is this different from a contact database?
Kustiq profiles one company at a time, live from the web when you ask. Tools like Apollo and ZoomInfo rent access to a 50M+ row pool that ages every quarter. Different shape, different price, and the freshness story is the opposite.
What does "track this profile" do?
Tracking saves Dust to your free dashboard so you can re-run the full pipeline on it anytime. Free with a signed-in account: 3 profiles a week, no card.
Can the profiled company remove this page?
Any company in the Kustiq directory can request removal at /trust#removal. Removed profiles return 410 Gone and stay out of search.
How fresh is the data?
Dust was last verified 5 months ago. The data refreshes when anyone re-runs the profile (the Re-run now button above does exactly that), and we run the SMTP handshake on contacts when you ask for them, not when we cached the row. The freshness card above the profile shows the exact relative date for the current visit.
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