Company profile
Climate Action Accelerator
Live profile
Climate Action Accelerator empowers aid, health, and education organisations to halve their emissions by 2030 through expertise & resources.
1960
Public pricing page
AI Classification
Climate Action Accelerator is a nonprofit initiative that helps humanitarian aid, health, and education organizations reduce greenhouse gas emissions by 50% by 2030, providing toolkits, roadmaps, carbon footprinting tools, and a community accelerator programme.
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Climate Action Accelerator is one of 2,673 B2B companies in the Kustiq directory.
Climate Action Accelerator sits among 61 foundation / ngo companies in our Nonprofit directory.
How Climate Action Accelerator compares with other Foundation/NGO companies
Climate Action Accelerator is one of 61 Foundation/NGO companies profiled in the Kustiq Nonprofit directory, which holds 136 Nonprofit companies in total. Every number below is computed from those profiles.
The most common tech detections across the 17 peers with a visible stack are Cloudflare (53%), Google Analytics (47%), and jQuery (47%). Climate Action Accelerator lists none of them.
The median founding year across 17 peers with a known founding date is 1997. Climate Action Accelerator was founded in 1960.
Dallas 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 climateactionaccelerator.org 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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