Company profile
Earthly
Live profile
Turn your AGENTS.md, engineering standards, and process docs into deterministic enforcement in AI authoring loops and on PRs — in minutes, not quarters.
11-50
Seed ($6.5M)
Public pricing page
AI Classification
Earthly builds developer infrastructure for engineering teams, led by its flagship product Earthly Lunar — a guardrails engine that converts AGENTS.md files, engineering wikis, and compliance docs into automated PR-level enforcement across every repo. The company also maintains Earthfiles, an open-source build syntax with 12K GitHub stars used in production by NVIDIA, Databricks, and Zapier.
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Earthly is one of 2,671 B2B companies in the Kustiq directory.
Earthly sits among 73 infrastructure / devtools companies in our SaaS directory.
Similar profiles: Featureform, Banani, Enersee, and Homepage.
Both sit in the 11-50 headcount band, and both are at Seed. See Earthly vs Featureform side by side.
Both sit in the 11-50 headcount band, and both are at Seed. See Earthly vs Banani side by side.
Both sit in the 11-50 headcount band, and both are at Seed. See Earthly vs Enersee side by side.
How Earthly compares with other Infrastructure/DevTools companies
Earthly is one of 73 Infrastructure/DevTools companies profiled in the Kustiq SaaS directory, which holds 343 SaaS companies in total. Every number below is computed from those profiles.
Earthly 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 30 peers with a visible stack are Cloudflare (30%), Google Analytics (23%), and Astro (23%). Earthly lists none of them.
Among the 25 segment companies with disclosed funding, Growth is the most common stage (32%). Earthly is at Seed.
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 10% of the 10 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 5 rendered pages of earthly.dev 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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