Company profile
Deeplearning
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DeepLearning.AI is making a world-class AI education accessible to people around the globe. DeepLearning.AI was founded by Andrew Ng, a global leader in AI.
11-50
AI Classification
DeepLearning.AI is an education technology company founded in 2017 by Andrew Ng that delivers AI, machine learning, and deep learning courses primarily through Coursera and its own platform, serving a global community of learners and AI practitioners. It operates a freemium model with a paid Pro membership tier and generates revenue through course enrollments and partnerships with technology companies.
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Deeplearning is one of 2,673 B2B companies in the Kustiq directory.
Deeplearning sits among 97 edtech companies in our Education directory.
Similar profiles: CellBlock FCS, Complianceexperts, Resend · Email for developers, and Cloud-based data analytics exploration for all.
Both sit in the 11-50 headcount band. See Deeplearning vs CellBlock FCS side by side.
Both sit in the 11-50 headcount band. See Deeplearning vs Complianceexperts side by side.
Both sit in the 11-50 headcount band. See Deeplearning vs Resend · Email for developers side by side.
How Deeplearning compares with other EdTech companies
Deeplearning is one of 97 EdTech companies profiled in the Kustiq Education directory, which holds 165 Education companies in total. Every number below is computed from those profiles.
Deeplearning sits in the 11-50 headcount band. 20% of the 61 segment peers with a known team size are smaller. 31% of those peers share the same band.
The most common tech detections across the 37 peers with a visible stack are Cloudflare (41%), WordPress (22%), and Google Analytics (19%). Deeplearning lists none of them.
Among the 23 segment companies with disclosed funding, Growth is the most common stage (74%).
The median founding year across 23 peers with a known founding date is 2012.
Charlotte is the most common HQ city in this segment, home to 6% of the 17 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 1 rendered page of deeplearning.ai 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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