K-12 Platform Imagi Secures $4.5M to Bring AI-Assisted Coding Into Classrooms

Teaching Students to Build, Not Just Consume

A teacher in a multilingual classroom recently built an app that translated her entire curriculum into 15 languages. A middle-schooler launched a website for his lawn-mowing side hustle, complete with calendar booking. Both projects were created by people with no prior coding experience, using prompt-driven development tools inside a controlled educational environment.

Imagi, a K-12 edtech platform focused on coding and computational literacy, just closed a $4.5 million seed round to expand this model across more schools. Brighteye Ventures and Day One Capital co-led the round, with participation from musician and entrepreneur Will.i.am. The funding arrives as schools worldwide wrestle with how to integrate generative AI into classrooms without exposing students to unfiltered models or privacy risks.

Dora Palfi, who co-founded Imagi with Beatrice Ionascu in 2018, comes from a family of educators. That background shapes the company's philosophy: rather than banning AI or treating it as a cheating risk, schools should teach students to build with it. "Most kids already use AI," Palfi noted, "but we need to teach children to build with AI rather than just passively consume it."

The platform has reached more than 700,000 students across 140 countries since launch, offering curriculum tools for coding fundamentals, computer skills, and AI literacy.

Controlled Access to Prompt-Driven Development

In November, Imagi partnered with Lovable, a platform that lets users generate applications through natural-language prompts, often called "vibe coding." The integration gives teachers the ability to create lessons and grant students supervised access to the tool, with multiple layers of moderation built in.

Every prompt a student submits and every response the system generates passes through content screening. Violations are removed before reaching the user. OpenAI contributed $1 million in API credits to support the initiative, allowing schools to access the Imagi-Lovable integration at no cost during trial and freemium tiers.

The result is a sandbox where students can experiment with prompt-driven development while educators retain oversight. Teachers receive training on how to use the tools themselves, a step Palfi considers essential for confident classroom deployment. "Experts in building frontier AI tools" bring technical capability, she explained, while "education experts have the experience and knowledge to safely deploy them in the classroom."

Privacy and Compliance at the Core

Imagi is designed to meet the regulatory requirements that govern student data in multiple jurisdictions. The platform complies with the Children's Online Privacy Protection Act (COPPA) in the United States, the Family Educational Rights and Privacy Act (FERPA), and the European Union's General Data Protection Regulation (GDPR).

Under these frameworks, Imagi enforces zero data retention policies. Neither Imagi nor its partners, including OpenAI, train models on student activity or prompts. For schools navigating the intersection of generative AI and student privacy, these guardrails address a primary concern: that adopting new tools might expose minors to data harvesting or unvetted content.

The compliance architecture also reflects a broader strategic bet. As generative AI becomes embedded in professional workflows, schools that fail to teach students how to use these tools risk widening digital divides. Not every household has access to AI platforms at home, making the classroom a critical venue for equitable exposure.

Equity and Workforce Readiness

Palfi frames the company's mission in terms of economic mobility. "Education is something that can completely alter the trajectory of your life," she said, echoing lessons from her family. In that view, AI literacy is not a luxury subject but a foundational skill, comparable to reading or arithmetic in earlier eras.

The labour market these students will enter is already shaped by generative AI. Roles in software development, design, marketing, and operations increasingly assume familiarity with prompt engineering, fine-tuning workflows, and AI-assisted tooling. Students who graduate without exposure to these systems may find themselves at a disadvantage, regardless of their other academic strengths.

By embedding AI education into K-12 curricula, Imagi aims to level access. The platform's global footprint, spanning 140 countries, suggests demand extends well beyond wealthy districts in the United States and Europe. Schools in emerging markets face similar pressures to prepare students for a technology-driven economy, often with fewer resources.

What the Fresh Capital Will Fund

The $4.5 million seed round will support several growth levers. Imagi plans to scale into additional K-12 schools, with a focus on district-level sales rather than individual school adoption. That shift requires hiring sales teams familiar with the procurement cycles and compliance demands of public school systems.

Product development is another priority. The company intends to roll out new features and launch a separate platform next month, though details on that offering remain undisclosed. Engineering resources will also go toward refining the moderation systems that underpin the Lovable integration, ensuring they can handle higher volumes of student activity without degrading the user experience.

Hiring will span engineering, curriculum design, and customer success. As Imagi moves into larger districts, the company will need personnel who can train teachers at scale and troubleshoot deployment issues in real time.

The Broader Debate on AI in Schools

Imagi's approach sits at the center of a live debate in education policy. Some administrators have responded to generative AI by restricting access, blocking tools like ChatGPT on school networks, or penalizing students who use them for assignments. Others argue that such bans are unenforceable and counterproductive, pushing students toward unsupervised use outside school hours.

Palfi's position is that schools must "adjust to the reality" of widespread AI adoption. The question, in her view, is not whether students will encounter these tools but whether they will learn to use them critically and creatively. Controlled classroom environments offer a chance to teach prompt design, output evaluation, and ethical considerations, skills that unstructured personal use rarely develops.

The partnership with Lovable tests whether prompt-driven development can be adapted for younger learners. Traditional coding education emphasizes syntax, logic, and debugging, skills that require significant instructional time. Prompt-based tools lower the barrier to creation but introduce new challenges: understanding model limitations, recognizing hallucinations, and iterating on vague outputs. Whether those skills transfer to deeper computational thinking remains an open question, one Imagi's expanding user base will help answer.

At DailyTechWire, we've tracked similar experiments in other regions. South Korea's Ministry of Education recently piloted AI tutoring tools in rural schools, while Singapore's Infocomm Media Development Authority launched grants for edtech startups focused on machine learning literacy. Imagi's compliance-first model and partnership structure offer a template that could inform policy elsewhere, particularly in jurisdictions wary of exposing minors to unmoderated AI systems.

The $1 million in OpenAI credits also signals a strategic interest from frontier labs in shaping how the next generation learns to interact with their models. As generative AI becomes a substrate technology, early education initiatives could influence user expectations, safety norms, and even product design for years to come.