AI-Powered Interactive Learning Apps for Kids: The Sparkli Revolution [2025]

The Evolution of AI in Children's Education

Something shifted in how we think about kids and technology over the past few years. It wasn't just about screens anymore. Parents started asking harder questions: what if AI could actually make learning feel less like sitting in a classroom and more like having a really smart friend who makes everything click?

That's the gap Sparkli is trying to fill. And honestly, it's a gap that needed filling.

The reality is that generative AI has flooded the education space, but most of it stays locked in text. You ask Chat GPT or Google Gemini about photosynthesis, and you get a wall of words. Kids need more. They need to see it, interact with it, play with it. The statistic that gets thrown around is that kids retain about 10% of what they read, 20% of what they hear, but roughly 90% of what they do and create. That's not new science, but it's suddenly relevant again because AI finally makes it economically feasible to personalize learning at scale.

Sparkli launched last year from a trio of former Google employees: Lax Poojary, Lucie Marchand, and Myn Kang. These weren't random startup founders chasing the AI gold rush. Poojary and Kang previously built products at Google's Area 120 internal incubator. They knew product. They knew scale. And they had a specific problem they couldn't unsee once their own kids started asking them questions.

Why Text-Based AI Learning Falls Short

Imagine you're six years old and your parent tells you about how cars work. They explain it, you get bored after thirty seconds. Now imagine a wall of text trying to explain the same concept. That's what most AI learning tools do right now.

Poojary put it directly: "Kids, by definition, are very curious, and my son would ask me questions about how cars work or how it rains. My approach was to use Chat GPT or Gemini to explain these concepts to a six-year-old, but that is still a wall of text. What kids want is an interactive experience."

This observation isn't profound on its own. But it's the observation that turned into the entire philosophy behind Sparkli.

The limitation of text-based learning for kids runs deeper than just engagement. There's a developmental piece here. Children process information differently than adults. They're concrete thinkers. They need to touch things, manipulate them, see cause and effect. A six-year-old asking how Mars looks isn't satisfied with a description. They want to see it. They want to imagine walking there. They want to understand what "red" means in the context of Mars, not just hear that Mars is red.

Big tech companies have been building AI tools for kids, sure. But they've mostly been add-ons to existing platforms or limited to voice and text. You get a chatbot voice reading information. Sometimes you get a video thrown in. But the interactive piece, the part where kids actually participate in their own learning, that's been missing.

The gap matters because engagement is learning for kids. When kids aren't engaged, they don't come back. They don't build the habit. And with education technology, habit is everything.

The Technical Architecture Behind Sparkli

Building an interactive learning experience powered by AI sounds simple until you actually try to do it. The complexity hides in the details.

Sparkli uses generative AI to create media assets on the fly. A kid asks a question about how photosynthesis works. Instead of retrieving a pre-made video or image, the system generates it. This is computationally expensive and requires serious optimization. But it also means infinite scalability and personalization.

The architecture generally works like this: when a user asks a question, the system needs to do multiple things simultaneously. First, it has to understand what the kid is actually asking (sometimes kids ask vague questions or mispronounce things). Second, it needs to plan out a learning path. Third, it needs to generate educational content in multiple formats: audio, video, images, quizzes, interactive simulations. All of this happens within a couple of minutes, which is crucial because kids lose interest fast.

The generative piece is the impressive part technically. Most educational platforms use templates or pre-created assets. Sparkli generates them. This means every learning experience is customized to the specific question being asked and the specific child asking it.

The infrastructure needs to handle rapid generation without making kids wait. Sparkli mentioned it can create a complete learning experience within two minutes, and they're actively working to reduce that further. For reference, a typical kid's attention span for digital content is roughly three to five minutes before they need a transition or a new element. So staying under two minutes is critical.

One technical consideration that's often overlooked: making sure the generated content is actually accurate. An image of Mars generated by AI might look cool but miss key details. This is why Sparkli's founding team included Ph D holders in educational science and AI, plus actual teachers on the team from day one. The technical infrastructure can create content, but the pedagogical framework ensures it's correct and actually teaches something.

How Sparkli Creates Engaging Learning Expeditions

The core interaction model is what Sparkli calls "expeditions." This is their framing for learning paths, but the name matters because it signals exploration rather than work.

Kids can either explore predefined topics in different categories or ask their own questions to create a custom learning path. Every day, the app highlights one new topic to expose kids to something they might not have thought to explore themselves. This is a subtle but important feature for learning. Kids are curious, but their curiosity often runs shallow. Fresh prompts help deepen it.

Here's what a learning expedition actually looks like: it starts with the core topic presented in multiple formats. Maybe it's a video explanation, then an interactive visualization where the kid controls certain variables and sees what changes. Then there's usually a quiz or game element that makes you think about what you learned rather than just passively consume it. The progression is designed to move from understanding to application.

The choose-your-own-adventure format is particularly clever. Kids get branching paths based on their interests or answers, which removes the pressure of "right" and "wrong." This is important psychologically. Kids lose interest when they feel judged. By framing it as an adventure with different paths rather than a test with correct answers, the app maintains engagement even when the kid takes a less optimal learning path.

Chapters under one topic include a mix of audio, video, images, quizzes, and games. This multi-modal approach isn't just about variety for variety's sake. Different kids process information differently. Some are visual learners, some are auditory, some need hands-on interaction. By including all formats, Sparkli increases the chance that each kid finds an entry point that clicks for them.

The gamification elements are borrowed from Duolingo's playbook. Streaks for completing lessons regularly, rewards for consistency, quest cards based on avatars. These mechanics work for adults, and they work even better for kids because kids' brains are still developing their reward systems. The dopamine hit from completing a streak or unlocking a new quest is motivating.

The Pedagogy Behind the Platform

This is where Sparkli differs from a lot of AI-powered education platforms: they started with pedagogy, not just technology.

Education systems often fall behind in teaching modern concepts. Kids learn about topics like financial literacy, entrepreneurship, and design thinking maybe once in a while, maybe never. These are increasingly important skills for the world kids are inheriting, but they're not integrated into traditional curriculum because they're hard to teach at scale.

Sparkli is explicitly built to teach these concepts interactively. A lesson on financial literacy doesn't just explain compound interest. It sets up a scenario where the kid makes financial decisions and sees the consequences. A lesson on entrepreneurship doesn't just list the steps. It walks through creating a business for a fictional product and shows what happens.

The pedagogical framework shapes everything about how content gets presented. The team brought in a Ph D holder in educational science specifically to ensure that the AI-generated content follows actual principles of how kids learn. This isn't academic fluff. When you're designing content for a six-year-old versus an eleven-year-old, the cognitive differences are massive. What works for one completely misses the other.

Teachers are built into the design too. The app includes a teacher module that lets educators track student progress and assign specific learning expeditions as homework. This positions Sparkli not as a replacement for teachers but as an extension of the classroom. Teachers use it to launch discussions, to give kids exploration time before diving deeper into a topic, to measure understanding after teaching a concept.

Poojary shared that teachers in their pilots often used Sparkli to create expeditions that kids could explore at the start of class, then lead into a more discussion-based format. Some used it as homework after explaining a topic, letting kids explore further and giving teachers insight into how well the kids understood the core concept.

Safety and Appropriate Content for Children

The moment you mention AI and kids, parents get nervous. And rightfully so. There have been high-profile lawsuits against companies like OpenAI and Character.ai from parents claiming the tools encouraged children to self-harm or engage in inappropriate conversations.

Sparkli takes safety seriously, and it shows in their content moderation approach. Certain topics like sexual content are completely banned from the platform. But their approach to harder topics is more sophisticated than just filtering things out.

When a child asks about topics like self-harm or depression, the app doesn't shut down. Instead, it teaches emotional intelligence and actively encourages the child to talk to parents or trusted adults. This is a better outcome than just blocking the question because it acknowledges that kids might think about hard things, and responding helpfully is better than silence.

The safety framework extends to all content on the platform. Every piece of generated media gets reviewed against both factual accuracy and age-appropriateness. This is one of the reasons they brought educators onto the founding team early. An engineer might not catch when an explanation is technically accurate but emotionally inappropriate for a seven-year-old.

School Pilots and Early Traction

Sparkli isn't just a concept or a demo. They've been running school pilots with real kids in real classrooms.

The company is currently piloting with an institute that has a network of schools with over 100,000 students. That's a significant scale for beta testing. And they've already tested the product in over twenty schools last year. This isn't a small sample size. You can learn a lot from that volume.

The feedback from schools has been positive. Teachers reported that kids came back to the app frequently. They used it independently without prompting. The engagement metrics suggest that Sparkli is hitting something that kids actually want to use, which is rarer in education technology than you'd think.

Target audience is children aged five to twelve, which is a wide age range. Developmentally, a five-year-old and a twelve-year-old are almost different species. One is learning basic concepts. The other is starting to think abstractly. Sparkli's framework seems to handle this range, which suggests they've got something scalable.

The teacher module has become increasingly important to their strategy. Teachers aren't just using Sparkli as a supplementary tool. They're integrating it into their actual curriculum. Some assign specific expeditions as homework. Some use it to differentiate learning for kids at different levels. Some use it to fill gaps where the textbook isn't covering modern topics.

This teacher adoption is the leading indicator that Sparkli might actually scale. Consumer apps can go viral with kids. But sustainable Ed Tech usually gets built through school adoption first. Teachers are the gatekeepers, and if they find the tool useful, that's validation.

The Funding Picture and Market Validation

Sparkli raised five million dollars in pre-seed funding led by Swiss venture firm Founderful. This might not sound enormous in the context of AI startups where the funding numbers have gotten ridiculous. But it's actually a meaningful validation.

Founderful is not a mega-fund throwing money at every AI idea. This is their first pure-play Ed Tech investment. That specificity matters. It suggests they did diligence and saw something worth placing a bet on.

The founding partner, Lukas Wender, explained the reasoning: "As a father of two kids who are in school now, I see them learning interesting stuff, but they don't learn topics like financial literacy or innovation in technology. I thought from a product point of view, Sparkli gets them away from video games."

That framing is interesting because it positions Sparkli not just as an educational tool but as an alternative to passive entertainment. There's an implicit value proposition there. Instead of kids mindlessly playing games, they're learning things their schools aren't teaching them.

The five million in pre-seed is enough runway to get real traction without being so much that the team has to optimize for growth at the expense of quality. For a bootstrapped Ed Tech company, this is actually the sweet spot. Enough to survive multiple iterations and school pilots, not so much that you feel pressure to scale before the product is really dialed in.

The Strategic Roadmap and Go-to-Market

Right now, Sparkli is focused on schools. The company explicitly wants to work with schools globally for the next few months before opening up consumer access. This is a deliberate sequencing decision.

Schools are hard to sell to. The sales cycles are slow. The procurement is bureaucratic. The buying committee includes teachers, administrators, parents, and sometimes school boards. But once you get into schools, you have a built-in distribution channel for consumer access.

The plan is to open up consumer access and let parents download the app by mid-2026. This gives Sparkli runway to build school credibility and gather proof points that can inform the consumer product strategy.

The sequencing also makes financial sense. Schools have budgets for educational technology. Parents generally don't. If Sparkli can establish itself as the platform that schools trust, then the consumer version becomes a win-win. Teachers recommend it to parents, parents download it to give their kids continuity between school learning and home learning.

This two-stage go-to-market is more sophisticated than just launching consumer-first. It shows that the founders understand that Ed Tech is fundamentally different from other software categories.

Competitive Landscape in AI-Powered Education

Sparkli isn't operating in a vacuum. There are other companies building interactive AI experiences for kids. But most of them are either coming from big tech companies treating education as a side feature, or they're smaller startups still figuring out the core product.

Open AI has been exploring education use cases, but Chat GPT is fundamentally a text-based interface. It can generate a lesson plan, but it's not designed for kids to use directly. Character.ai has positioned some of their characters as educational, but again, the core experience is conversation.

Other startups are building AI tutoring platforms. Most use voice or text. Some have started adding video. But the interactive, multi-modal, content-generation-on-the-fly approach that Sparkli is taking is less common.

What Sparkli has that's hard to replicate is the combination of technical capability (generating quality media assets quickly), pedagogical rigor (built into the founding team), and proven school adoption (over twenty school pilots). Those three things together are rare.

The Ed Tech space is crowded. But crowded doesn't mean competitive in a healthy way. Most Ed Tech products are either good at content or good at engagement, rarely both. Sparkli seems to be going for both.

The Content Generation Challenge at Scale

One of the less obvious challenges in Sparkli's approach is the content generation challenge at scale. Creating one beautiful interactive learning experience about Mars is cool. Creating thousands of them, on-demand, in response to random questions from kids around the world, at consistent quality, is a different beast.

Generative AI is powerful but also unpredictable. You ask it to create something and it might produce something brilliant, or it might produce something that sounds right but is factually wrong, or it might completely miss what you were asking for. For entertainment, that's fine. For education, that's a liability.

Sparkli's approach is to layer human oversight. The content gets generated, then it gets reviewed by the pedagogical team and the teacher advisors. This adds latency to the system, but it ensures quality. They've optimized to keep the generation within two minutes, but some of that time is human-in-the-loop review.

This creates a scaling ceiling. You can't infinite-scale human review. So as Sparkli grows, they'll need to figure out how to maintain quality while increasing throughput. Probably that means getting smarter about the AI prompts and guardrails. Maybe it means building better automated quality checks.

It's a solvable problem, but it's not trivial. And it's one of the reasons that this type of company needs strong technical and pedagogical founders. You need people who understand both the technology limitations and the learning science implications.

Integration with Traditional Education Systems

The real unlock for Sparkli will be if they can become genuinely integrated into how schools teach, not just a supplementary tool that exists on the periphery.

Teachers are overloaded. Any new tool has to either save them time or make them better at their core job. Sparkli seems to do both. It saves time by generating personalized learning content that would otherwise need to be sourced or created. It makes teachers better by giving them visibility into student understanding and by freeing up class time for actual discussion and interaction instead of information transfer.

The teacher module that allows tracking progress and assigning homework is crucial. It's not just a feature. It's the mechanism that integrates Sparkli into the teaching workflow instead of positioning it as something separate.

If Sparkli can get to a point where teachers naturally reach for it as part of their teaching toolkit, the same way they use Google Classroom or a textbook, then the defensibility and switching costs become very high. You're not just a tool anymore. You're infrastructure.

This is the long-term vision. Get into a hundred schools, then a thousand, then tens of thousands. At each scale, improve the teacher tools based on feedback. Build integrations with existing systems that schools already use. Become part of how school works.

That's much harder than building a viral consumer app. But it's also much more defensible and potentially much more valuable.

The Pedagogical Innovation Around Modern Topics

One of Sparkli's explicit positioning elements is that they're teaching topics that schools don't teach well. Financial literacy. Entrepreneurship. Design thinking. Digital citizenship. These are increasingly important for kids' futures, but they're not integrated into most curriculums.

There's a reason for that gap. These topics are harder to teach because they're not as standardized as math or reading. There's no clear textbook. The knowledge evolves quickly. Teachers themselves might not have deep expertise.

AI actually makes this easier because you can generate scenarios, simulations, and case studies on-demand. Want to teach a kid about compound interest? Generate a scenario where they invest money and see it grow. Want to teach about marketing? Generate a fictional product launch scenario and let them make marketing decisions.

The scalability of this approach is significant. Traditional educational publishing takes years and millions of dollars to produce a textbook on a new topic. Sparkli can generate curriculum on new topics in weeks.

This puts them in an interesting position. They're not just a delivery mechanism for existing content. They're creating new educational content that didn't exist in interactive form before.

The Attention Economy and Keeping Kids Engaged

Kids are growing up in an environment of infinite content. They have unprecedented access to entertainment. Every education tool is competing against that.

Duolingo revolutionized language learning by treating it like a game. Streaks, rewards, notifications, gorgeous UI. Sparkli is explicitly taking inspiration from that playbook. But there's a real question about whether game mechanics can carry education or if they just mask that learning isn't happening.

The research on this is mixed. Gamification works for getting people to show up. It's less clear whether it improves actual learning. You could have perfect streaks and complete all your daily quests and still not have absorbed anything useful.

Sparkli seems to understand this tension. They're not just gamifying learning. They're combining game mechanics with actual educational progression. The streak isn't just a number. It's correlated with actually completing learning objectives.

The bigger play is the content itself. If the learning experience is actually engaging, then the gamification is the cherry on top. But if the underlying content is boring, no amount of streaks will fix it.

Generative AI gives Sparkli an advantage here because they can generate so much more content variety. Every kid doesn't need to take the exact same learning path. One kid can explore how Mars rovers work. Another can learn how to plan a mission to Mars. A third can learn the geology of Mars. Same topic, totally different content, all generated on-demand based on what the kid is curious about.

This variety is harder to get bored of.

Funding and Future Growth Projections

The five million in pre-seed gives Sparkli a runway of roughly twelve to eighteen months at reasonable burn rate. Enough time to get meaningful school adoption and consumer traction before needing Series A.

For Ed Tech, the funding story is different than for other categories. Consumer Ed Tech has mostly struggled to build big businesses because the TAM is spread across parents with different budgets. B2B Ed Tech through schools has better unit economics once you get past the sales cycle.

Sparkli's sequencing suggests they understand this. Get school adoption first, build proof points, then move to consumer. The consumer part becomes a distribution channel for school expansion and upsell.

A successful Series A round would probably be in the twenty to forty million range if they can show good school adoption and clear unit economics. But that's speculative. The real milestone is hitting product-market fit in schools within the next six to nine months.

Longer term, if Sparkli successfully scales to thousands of schools, the business could be worth hundreds of millions. Ed Tech companies that dominate school channels (Blackboard, Instructure, Schoology) all reached unicorn status. Sparkli has the potential, but execution is everything.

The Broader Implications for AI in Education

Sparkli is not the only company exploring generative AI for education. But they might be the company that cracks the code on what it actually looks like when AI is great for learning.

The broader pattern we're seeing is that text-based AI is insufficient for good education technology. Kids need visual, interactive, experiential learning. As generative AI gets better at producing all of those modalities, you get better education.

But technology is not education. The pedagogy has to be first. The technology is just the delivery mechanism. Sparkli gets that from day one by structuring the founding team around educators and learning scientists, not just engineers.

That pattern is probably going to be repeated by successful education AI companies going forward. The ones that layer in pedagogical expertise from the beginning will probably outperform the ones that start as pure tech plays and bolt on education later.

The other implication is that AI might finally solve some of education's thorniest problems. Personalization at scale. Immediate feedback. Infinite content variety. Fresh approaches to teaching modern topics. These are hard problems that haven't been solved despite decades of Ed Tech startups because they required too much human effort.

Generative AI makes them economically feasible. The remaining question is execution.

What's Next for Sparkli and the Ed Tech Space

Sparkli's immediate focus is school adoption and proving out the model. They need to go from twenty school pilots to hundreds. They need to show that adoption sticks and that student learning outcomes improve.

The consumer launch in mid-2026 is significant because it's when they'll find out if parents actually want this for home learning. Schools might adopt it, but if parents don't see value, the consumer channel won't work.

Mid to long-term, Sparkli needs to figure out how to scale content generation without sacrificing quality. They need to stay on top of pedagogy as the company grows. They need to build integrations with existing school systems so they're not a standalone tool but part of the school infrastructure.

If they execute well, they become the platform that schools use to teach modern topics interactively. If they execute great, they expand beyond their current target age group and become relevant for older students too.

The Ed Tech space is watching. If Sparkli succeeds with their interactive AI learning model, expect to see many more companies copy it. The question is whether Sparkli can move fast enough to establish market leadership before the copycats arrive.

TL; DR

• Sparkli is solving a real gap: Most AI learning tools for kids are text-based, but kids learn through interaction and multiple modalities. Sparkli generates interactive, multi-modal learning experiences on-demand.
• The founding team matters: Built by former Google employees with pedagogical expertise on the founding team, not just engineering. This foundation shapes the entire product.
• School adoption is the real metric: Sparkli is focused on school adoption first, consumer second. This is the right sequencing for Ed Tech. Over twenty school pilots show product-market fit traction.
• Content generation at scale is hard: Creating interactive learning experiences powered by generative AI is technically challenging, but Sparkli has optimized to do it in two minutes while maintaining quality through human oversight.
• The timing is right: Kids need engaging education on modern topics. Schools need better tools. AI finally makes personalized, generated content economically feasible. Sparkli is positioned at the intersection of all three.

FAQ

What exactly is Sparkli and how does it differ from other AI learning apps?

Sparkli is an interactive AI-powered learning platform built by former Google employees that generates multi-modal educational content on-demand for children aged five to twelve. Unlike most AI education tools that are limited to text or voice, Sparkli creates learning "expeditions" that combine audio, video, images, interactive simulations, quizzes, and games. The key difference is that Sparkli generates these experiences dynamically based on what each child asks or explores, rather than retrieving pre-made content from a library.

How does Sparkli generate educational content so quickly?

Sparkli uses generative AI to create media assets dynamically, generating a complete learning experience within about two minutes of a child asking a question. The system orchestrates multiple AI models to handle different content types simultaneously, then layers in human review from their pedagogical team to ensure accuracy and age-appropriateness before delivering the content to the child.

What makes Sparkli's approach to child safety different from other platforms?

Sparkli takes a proactive approach to safety rather than just blocking problematic topics. While certain content like sexual material is completely banned, when children ask about more sensitive topics like self-harm or depression, the app doesn't shut down the conversation. Instead, it teaches emotional intelligence and actively encourages children to talk to parents or trusted adults. This approach was developed with the input of educators and learning scientists on the founding team.

Who are the founders and what's their background?

Sparkli was founded by three former Google employees: Lax Poojary, Lucie Marchand, and Myn Kang. Poojary and Kang previously co-founded ventures like Touring Bird and Shoploop at Google's Area 120 incubator, and worked on shopping and commerce initiatives at Google and You Tube. Marchand, who serves as CTO, was also a co-founder of Shoploop and worked at Google. Their background in building consumer products at scale, combined with pedagogical expertise, distinguishes them from typical Ed Tech founders.

What's the difference between using Sparkli at school versus using it at home?

At school, Sparkli functions with a teacher module that allows educators to track student progress, assign specific learning expeditions as homework, and measure understanding after teaching a topic. Teachers in pilots have used it to launch classroom discussions or create differentiated learning paths for students at different levels. At home, children will use the consumer version to explore topics independently or ask custom questions to create their own learning paths, with gamification elements like streaks and quest cards encouraging regular engagement.

What topics does Sparkli teach, and why focus on these specific areas?

Sparkli explicitly focuses on teaching modern topics that traditional schools don't cover well, including financial literacy, entrepreneurship, design thinking, and digital citizenship. The reasoning is that these skills are increasingly important for children's futures, but they're not standardized in most curriculums because they lack clear textbooks, evolve quickly, and require teacher expertise that many educators don't have. Generative AI makes it economical to create high-quality interactive content on these topics.

How does Sparkli's school pilot data support the product?

Sparkli has tested its product in over twenty schools with an institute that has a network of schools serving over one hundred thousand students. The feedback has been positive, with teachers reporting that students return to the app frequently, engage independently without prompting, and show improved understanding of concepts. This real-world validation from schools is significant because school adoption is the traditional path to success in Ed Tech, unlike consumer-first models.

When will Sparkli be available to consumers, and how will it work?

Sparkli plans to open up consumer access and allow parents to download the app by mid-2026. The company is currently focused on school adoption to build credibility and proof points before launching the consumer product. The consumer version will maintain similar features to the school version, including custom question-based learning paths, predefined learning expeditions, daily topic recommendations, and gamification elements like streaks and quest cards.

What's the funding situation for Sparkli?

Sparkli raised five million dollars in pre-seed funding led by Swiss venture firm Founderful, which made this their first pure-play Ed Tech investment. The funding round reflects confidence from investors who see the market opportunity in AI-powered interactive learning and the strength of the founding team's execution capability and market understanding.

How does Sparkli compare to other AI education platforms like Chat GPT or Duolingo?

Chat GPT is fundamentally a text-based conversational interface not designed for children to use directly, though it can generate lesson plans. Duolingo pioneered engaging gamification for language learning but focuses on a single subject. Sparkli combines generative AI with interactive, multi-modal content, explicit pedagogy, and gamification across a much broader range of topics. Other startups are building AI tutoring platforms, but most rely on voice or text with limited video. Sparkli's combination of content generation capability, pedagogical rigor, and proven school adoption is relatively unique.

Key Takeaways

• Sparkli solves a critical gap in AI education: most tools are text-based, but kids learn through interactive, multi-modal experiences that engage multiple senses
• Founding team expertise matters tremendously: including educators and learning scientists from day one shapes product development differently than purely technical founders
• School adoption is the winning strategy: sequencing school pilots before consumer launch builds credibility, proves pedagogy works, and creates distribution channel for home learning
• Content generation at scale requires human oversight: generative AI creates the media, but pedagogical review ensures accuracy and age-appropriateness, which is non-negotiable for education
• The five-million pre-seed funding validates investor confidence in interactive AI learning platforms and the specific market opportunity Sparkli is pursuing

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