Logiglish Investor Presentation_V2_052025

Thanks for joining. Logiglish is tackling a growing but overlooked problem: people are losing the ability—and the motivation—to read complex text. Our platform transforms real content into interactive, structured learning experiences. It’s not just for language learning—it’s a smarter way to learn anything through reading..

[Audio] At Logiglish, our mission is to make learning through reading accessible, engaging, and effective—especially for learners beyond the beginner stage who want to use language as a medium for real learning. Too often, language tools focus on scripted dialogues or generic vocabulary drills. We’re changing that.Our vision is to transform how people learn by embedding adaptive learning systems directly into books and content they already love. Whether it’s a novel, a biography, or a professional manual, Logiglish helps learners rebuild comprehension, improve fluency, and deepen understanding—sentence by sentence.Just like Google made the web searchable and Duolingo made language gamified, we believe Logiglish can make real world content truly learnable. We aim to be the go to platform for content based language learning—not as an add on, but as a core reading experience.We envision a world where anyone, anywhere, can unlock knowledge in any language—not by memorizing more, but by understanding better..

[Audio] Here’s the hard truth: literacy is not the same as comprehension.According to the OECD’s Survey of Adult Skills, more than 50% of adults in developed countries struggle with reading tasks beyond basic sentences.¹In the U S , the N-A-E-P reports that only 33% of 8th graders are proficient in reading.²Even among college educated adults, long form reading is in freefall. The Pew Research Center found that more than 25% of American adults didn’t read a single book last year.³This isn’t just about skills—it’s about attention, engagement, and a disconnection from the written word.On the other, the eReader market is growing steadily, especially in Asia Pacific, where demand for both digital books and English proficiency is accelerating. Yet, eReader platforms today are not designed for learning—they’re passive content consumption tools.The overlap between these two markets is what we call the 'Learner as Reader' segment.These individuals are motivated, self directed users who read to learn. They’re professionals, students, and global citizens seeking real world fluency through content.This segment is largely untapped. By embedding (A I ) powered learning layers into eBook platforms, we can unlock massive engagement, drive retention, and create entirely new monetization paths—while delivering real value to users..

[Audio] Reading today competes with apps, screens, and fractured attention. Traditional reading is passive and linear—but modern brains are trained by interactive, nonlinear, multi sensory content.A 2021 study published in Nature Human Behaviour shows that working memory and deep comprehension decrease when reading long text online versus short structured content.⁴This means that even literate users are struggling to extract meaning and stay engaged. And existing edtech? It teaches words, not reading as cognition..

[Audio] At the core of Logiglish is a learning engine rooted in second language acquisition research—especially Krashen’s Input Hypothesis. Our system delivers comprehensible input slightly above the learner’s current level (i plus 1) through adaptive, scaffolded tasks. It’s not about teaching grammar explicitly, but about enabling users to construct meaning and build fluency naturally. This is why our engine focuses on sentence deconstruction, real time prompts, and comprehension scaffolds—because true language acquisition happens when input is both meaningful and personalized..

[Audio] This slide shows the core architecture of Logiglish. At the top is the learner interface—where users engage through sentence rearrangement, speech, and comprehension tasks. These are powered by commercial L-L-M's that provide instant feedback, paraphrasing, and fluency scoring.Beneath that is our personalization engine, which adapts learning paths in real time using user behavior and performance data. It’s informed by our Logiglish Knowledge Graph—a proprietary dataset that links grammar patterns, difficulty levels, and learner errors across real content.Over time, this graph becomes the foundation for our own custom tuned model, trained on real learning interactions rather than generic internet text.At the base, we connect to eBook platforms. We don’t store content—we analyze it on the fly to generate scaffolds and exercises.LLMs power the system, but our real advantage is in the structure, feedback loop, and growing proprietary dataset that makes the experience personalized, scalable, and hard to copy..

[Audio] Let me show out vision on how the Logiglish experience will be. This is an example of the Logiglish engine powering Kobo eReaders. The first step is for the user to set up how she wants to use logiglish, in other work how she want to create her learning experience. This is want we call the learning settings. You can chose to review your knowledge or a chapter, sentence, by sentence, or simply have a review on demand..

[Audio] At the end of a learning unit—like a chapter—the Logiglish engine activates to generate personalized practice. What you’re seeing here are examples of adaptive reading based exercises, tailored in real time to the learner’s progress and comprehension. It might prompt sentence rearrangement to reinforce syntax, spoken practice to develop fluency, or comprehension checks to ensure understanding of core ideas. These aren’t static questions—they’re dynamically generated, based on how the learner interacted with the content. This is how we turn reading into an active, personalized learning experience..

[Audio] After each session, they’re shown a simple progress summary that reinforces their effort and invites reflection. This moment isn’t just about testing—it’s about building engagement and momentum, on the learner’s own terms..

[Audio] Our roadmap reflects a clear evolution: from product, to platform, to infrastructure.In Phase 1, we’re focused on validating the Logiglish learning engine in select markets like Japan. This allows us to prove engagement and learning outcomes while building a rich learner graph—critical for personalization.In Phase 2, we expand through S-D-K and A-P-I integrations. This lets us embed Logiglish directly into schools, publishers, and e reader platforms, turning our product into a scalable engine that supports comprehension across diverse content.In Phase 3, we activate platform scale. We’ll launch a domain specific LLM—fine tuned on our learner data—for adaptive instruction across languages. Combined with partner tools and a creator ecosystem, Logiglish becomes core infrastructure for personalized, comprehension based learning globally.Each phase compounds value: deeper personalization, broader reach, and a growing network of content and learning partners..

[Audio] Our journey began in early 2022 with foundational research in language learning and comprehension. By August 2022, we had already secured a paid PoC with Panasonic Energy Japan, which validated initial demand for our sentence deconstruction and real time response method. We used this momentum to deepen our products(R&D) and refine the technology behind our adaptive learning engine. In December 2024, we launched an alpha test with a leading educational company in Japan, confirming the product’s applicability in institutional learning settings. Today, we’re no longer validating the concept—we’re building toward scale. With strong traction in a discerning market like Japan, we’re now focused on expanding product features, partnerships, and distribution globally..

[Audio] Our go to market starts with schools and publishers to validate learning outcomes and drive adoption through trusted channels. We then scale through digital platform integrations like eBook stores, reaching learners where they already engage.Long term, we expand via S-D-K's and self serve tools, enabling partners to embed Logiglish directly into their platforms.We monetize through a freemium app, B-2-B licensing, premium speech features, and eventually a creator marketplace.This strategy lets us serve both bottom up learners and top down institutions, with flexible, scalable economics..

[Audio] The global language learning market is massive and growing fast—projected to reach 423 billion dollars by 2033, with a C-A-G-R of 17.7%. But what’s more important than total size is where the real opportunity lies: 55% of learners are at the intermediate level or above, and they’re underserved. Most existing solutions focus on beginners or casual learners. What these more advanced learners want is not another flashcard app—but a way to use language meaningfully, in context, with content that aligns with their goals. That’s exactly where Logiglish fits. We don’t compete for entry level users—we unlock the next phase of learning: comprehension, fluency, and knowledge building through real world content. And with the rise of (A I ) powered education and e book platforms, we’re positioned to capture both consumer and institutional demand at scale..

[Audio] The language learning space is crowded—but most solutions cluster in two areas: on the left, we have live tutoring platforms like Preply and Cambly, which rely on human instructors and don’t scale well. On the bottom right, apps like Duolingo, Readlang, and even Speak offer scalable or (A I ) based tools, but they focus on surface level drills or isolated skills like pronunciation. LingQ gets closer to content based learning, but it lacks real time scaffolding, comprehension checks, or adaptive progression. Logiglish stands alone in the top right quadrant—combining deep, contextual learning with fully (A I ) powered delivery. We’re not just teaching language; we’re building a learning engine that turns books, videos, and everyday content into personalized learning experiences—at scale. This is what makes Logiglish both defensible and hard to replicate..

[Audio] Our model is built for healthy margins—even in price sensitive markets like Japan.At ¥1200 per month, our average annual revenue per user is around $96. With a blended customer acquisition cost of $25—driven by efficient digital channels like line and YouTube—we retain strong economics.Our (A I ) based support infrastructure keeps ongoing costs low, at just $18 per user annually, and we estimate platform or distribution partner fees at around 12%.That leaves us with a net margin of over $40 per user.These economics are even stronger in B-2-B or licensing models, where customer acquisition is more efficient and partner fees can be reduced or eliminated entirely.This means we can grow efficiently while still delivering a high quality learning experience at scale..

[Audio] Our leadership team blends academic rigor, entrepreneurial drive, and deep industry expertise. Kaho Fujikawa, our C-E-O--, brings firsthand experience as a Japanese entrepreneur focused on economics and education. Atsushi Sakahara, our Co Founder, combines Silicon Valley experience at Versant with a UC Berkeley M-B-A and a Ph.D. in (A-I ). Professor Yasunari Harada, a leading authority in informational linguistics, grounds our work in cutting edge language science. And Carlos Sandrea, our C-P-O--, is a seasoned executive from Google, Yahoo, and Rakuten, with a track record of launching global products and go to market strategies.

[Audio] We’re at an inflection point. We’ve validated the need, built the technology, and seen early traction with paying partners in Japan. Now, we’re raising our seed round to take Logiglish to the next level. This is your opportunity to get in early on a category defining platform—one that goes beyond language learning to unlock comprehension, fluency, and real knowledge transfer through everyday content. With a lean, experienced team, strong academic and technical foundations, and a clear path to monetization through both B-2-C and B-2-B channels, we’re built to scale. We’re seeking investors who believe, as we do, that language learning is overdue for reinvention—and who want to help us lead that transformation. Let’s build it together..

[Audio] Thank you!. Thank you. ありがとうございます. Gracias.