Great Learning AI vs Riiid

Riiid has a disclosed valuation of $1B, while Great Learning AI's valuation is not publicly available, making a direct size comparison difficult. Riiid employs 100-500 people.

Riiid has raised more in total funding at $220M, compared to Great Learning AI's $200M — a gap of $20M. Combined, the two companies have completed 6 known funding rounds.

Riiid leads with an Awaira Score of 80/100, while Great Learning AI sits at 63/100. That 17-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Great Learning AI was founded by Mohan Lakhamraju in 2013. Riiid was founded by Jang Young-jun in 2014. Visit each company's profile on Awaira for a full founder biography.

Great Learning AI: Great Learning is an online professional learning platform focused on technology and management education for working professionals, with a strong emphasis on AI, machine learning, data science, and software engineering programs delivered through blended online and in-person formats. The platform uses AI to personalize learning journeys, provide mentor matching, and generate career outcome analytics for students and enterprise clients.\n\nThe company raised approximately $200M across multiple rounds from investors including Apax Partners and General Atlantic, and was subsequently acquired by the Great Lakes Group. Great Learning has trained over two million learners globally and has enterprise learning partnerships with hundreds of companies seeking to upskill employees in AI and data capabilities.\n\nProfessional AI upskilling is one of the fastest-growing education categories globally as organizations scramble to develop internal AI talent. Great Learning's established brand, industry partnerships for curriculum design, and placement network give it a defensible position in the professional AI education market as demand continues to outpace supply of qualified AI practitioners. Riiid: Riiid develops AI-powered adaptive learning and test preparation technology, most notably the Santa TOEIC app, which uses reinforcement learning and knowledge tracing algorithms to personalise English proficiency test preparation for individual learners based on their demonstrated strengths and weaknesses. The Seoul company builds AI models that predict which questions each student should practice to maximise test score improvement per unit of study time.\n\nThe company raised approximately $220 million including a Series D from investors including SoftBank Ventures Asia, Owl Ventures, and GoodWater Capital, reaching a valuation exceeding $1 billion. Riiid Santa TOEIC app has been used by millions of Korean learners preparing for the TOEIC English proficiency exam, which is a mandatory or strongly encouraged credential for employment at major Korean corporations. The company has expanded its AI tutoring technology beyond TOEIC into other standardised test preparation and enterprise training applications.\n\nRiiid competes in the AI education market against Duolingo, Khan Academy, and Korean education technology companies including Classting and Mathpresso. Its reinforcement learning-based adaptive learning system, which optimises study sequences for individual score improvement rather than presenting content in a fixed curriculum order, represents a technically sophisticated approach to personalised learning that distinguishes it from content-first edtech platforms. The proven consumer use case in TOEIC preparation provides a revenue foundation and model validation that the company is extending into new learning domains.

Great Learning AI got there first, launching in 2013 — that's 1 year of extra runway. Riiid didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Great Learning AI has about 500+ employees; Riiid has about 100-500. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Great Learning AI and Riiid compete in AI Education, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.