Company profile
Dust
Live profile
Break down knowledge silos and amplify team performance with data-augmented, customizable and secure AI agents. Deploy in minutes, no coding required.
51-200
AI Classification
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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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.
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 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.
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