Company profile
Dagger
Live profile
Build powerful software environments and containerized operations from modular components and simple functions. Perfect for complex software delivery and AI agents. Built by the creators of Docker.
11-50
Series A ($30M)
Astro, Google Fonts +1
AI Classification
Dagger is an open-source DevOps tooling company that makes CI/CD pipelines programmable, containerized, and portable across local and cloud environments. Founded in 2018 by Docker co-founder Solomon Hykes, the company targets software engineering and DevOps teams seeking repeatable, faster software delivery workflows.
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Tech Stack
Fonts
Framework
Hosting
Similar Companies
Dagger is one of 2,673 B2B companies in the Kustiq directory.
Dagger sits among 74 infrastructure / devtools companies in our SaaS directory.
Similar profiles: Aerospike, DefiPrime, CellBlock FCS, and Airbyte.
Both sit in the 11-50 headcount band. See Dagger vs Aerospike side by side.
Both are at Series A. See Dagger vs DefiPrime side by side.
Both sit in the 11-50 headcount band, and CellBlock FCS is at Series D versus Series A for Dagger. See Dagger vs CellBlock FCS side by side.
How Dagger compares with other Infrastructure/DevTools companies
Dagger is one of 74 Infrastructure/DevTools companies profiled in the Kustiq SaaS directory, which holds 344 SaaS companies in total. Every number below is computed from those profiles.
Dagger sits in the 11-50 headcount band. 14% of the 57 segment peers with a known team size are smaller. 42% of those peers share the same band.
The most common tech detections across the 31 peers with a visible stack are Cloudflare (32%), Google Analytics (26%), and Astro (23%). Dagger runs Astro.
Among the 25 segment companies with disclosed funding, Growth is the most common stage (32%). Dagger is at Series A.
The median founding year across 19 peers with a known founding date is 2012.
Beaverton is the most common HQ city in this segment, home to 9% of the 11 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 4 rendered pages of dagger.io 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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