Loora Raises $22M Series B to Scale AI English Tutor to 15 Million Learners
Loora, an Israel-based generative AI English-learning platform, announced on September 16 that it has closed a $22 million Series B financing round, bringing its total disclosed funding to $43.25 million.
The round was led by Union Tech Ventures, with participation from vgames and existing investors Emerge, Hearst Ventures and QP Ventures.
Founded in 2020 by Roy Mor and Yonti Levin and headquartered in Tel Aviv, Loora builds conversational AI tutors that help adult learners improve their spoken English for job interviews, professional presentations and workplace conversations. Its AI teacher provides real-time feedback on grammar, pronunciation and fluency, and adjusts the conversation to each learner's level and interests, acting as a speaking partner able to talk about virtually any topic.
The company argues that learners engage far more deeply when the subject is something they care about. Its usage data shows a German user spent roughly 40% of conversations discussing politics, while an Indian user covered 38 different topics across 49 sessions, ranging from water sports to philosophy. Another learner has not missed a single day of practice in 1,377 consecutive days.
Like other AI language platforms, Loora stresses that it delivers a low-pressure, judgement-free practice environment at a fraction of the cost of human instruction. It says learners in markets including Mexico, Japan, Germany and Brazil now receive personalized tutoring for around $10 a month, against roughly $50 an hour for one-to-one teaching.
Loora argues that building a learning experience that genuinely drives fluency requires a data flywheel: a system that learns from hundreds of millions of real interactions which paths actually produce retention and fluency. It has assembled one of the largest datasets focused specifically on English language acquisition, plus models that assess a learner's level, detect grammar and fluency problems, and deliver understandable personalized feedback at the right moment. Users have now held more than 200 million conversations with its AI system.
The platform targets fluency-driven adults aged 25 to 55, and 72% of users say career advancement is their main reason for learning English. Loora reports more than 15 million users worldwide and says retention has more than doubled since launch.
Revenue has more than doubled over the past 12 months, with annual recurring revenue now in the tens of millions of dollars. Over the past year Loora also built a business-to-business operation from scratch, offering employees business role-play and simulated scenarios to help them master industry terminology and build speaking confidence, alongside data management tools for enterprise clients. It now works with more than 100 companies, governments and universities.
The new capital will be deployed across three priorities: scaling AI research and engineering, accelerating go-to-market in the US, Europe, Asia and South America, and expanding the data and research infrastructure behind its learning outcomes. Headcount is expected to double from 30 to 60 within six months, with most new hires focused on AI research and development.
"If you already speak English, it's easy to underestimate how much opportunity comes with it," Mor said. "For most of the world, English is the most significant gateway to advancement — a better job, a place at university, or a different future altogether."
The round was led by Union Tech Ventures, with participation from vgames and existing investors Emerge, Hearst Ventures and QP Ventures.
Founded in 2020 by Roy Mor and Yonti Levin and headquartered in Tel Aviv, Loora builds conversational AI tutors that help adult learners improve their spoken English for job interviews, professional presentations and workplace conversations. Its AI teacher provides real-time feedback on grammar, pronunciation and fluency, and adjusts the conversation to each learner's level and interests, acting as a speaking partner able to talk about virtually any topic.
The company argues that learners engage far more deeply when the subject is something they care about. Its usage data shows a German user spent roughly 40% of conversations discussing politics, while an Indian user covered 38 different topics across 49 sessions, ranging from water sports to philosophy. Another learner has not missed a single day of practice in 1,377 consecutive days.
Like other AI language platforms, Loora stresses that it delivers a low-pressure, judgement-free practice environment at a fraction of the cost of human instruction. It says learners in markets including Mexico, Japan, Germany and Brazil now receive personalized tutoring for around $10 a month, against roughly $50 an hour for one-to-one teaching.
Loora argues that building a learning experience that genuinely drives fluency requires a data flywheel: a system that learns from hundreds of millions of real interactions which paths actually produce retention and fluency. It has assembled one of the largest datasets focused specifically on English language acquisition, plus models that assess a learner's level, detect grammar and fluency problems, and deliver understandable personalized feedback at the right moment. Users have now held more than 200 million conversations with its AI system.
The platform targets fluency-driven adults aged 25 to 55, and 72% of users say career advancement is their main reason for learning English. Loora reports more than 15 million users worldwide and says retention has more than doubled since launch.
Revenue has more than doubled over the past 12 months, with annual recurring revenue now in the tens of millions of dollars. Over the past year Loora also built a business-to-business operation from scratch, offering employees business role-play and simulated scenarios to help them master industry terminology and build speaking confidence, alongside data management tools for enterprise clients. It now works with more than 100 companies, governments and universities.
The new capital will be deployed across three priorities: scaling AI research and engineering, accelerating go-to-market in the US, Europe, Asia and South America, and expanding the data and research infrastructure behind its learning outcomes. Headcount is expected to double from 30 to 60 within six months, with most new hires focused on AI research and development.
"If you already speak English, it's easy to underestimate how much opportunity comes with it," Mor said. "For most of the world, English is the most significant gateway to advancement — a better job, a place at university, or a different future altogether."
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