Aicademiae

Aicademiae is a vertical AI platform for language teachers that generates personalised, CEFR-aligned lessons and teaching materials with continuity across classes. It combines pedagogical reasoning, language-level control, student context, and prior learning to help teachers create coherent, level-appropriate lessons in a fraction of the time required for traditional preparation.

Aicademiae is currently in MVP development, with the core platform architecture, CEFR and language-constraint systems, lesson-generation pipeline, continuity logic, UX flows, and validation framework already defined and under implementation. The product is being developed as a working teaching platform rather than a standalone content generator, with the first teacher pilot planned following MVP completion.
Current traction is at the product-validation stage. The concept has been shaped around a recurring problem identified through extensive language-teaching experience: teachers need faster lesson preparation without sacrificing level accuracy, pedagogical coherence, personalisation, or continuity from one class to the next.

Aicademiae initially targets freelance language teachers, online tutors, and small private language academies that need to create high-quality, personalised lessons efficiently and maintain continuity across classes.

The wider opportunity sits within the global language-learning and teacher-support market, which is increasingly adopting digital, personalised, and AI-assisted tools. After validating the teacher-led model, Aicademiae can expand into larger training providers, corporate language training, and additional language-learning use cases.

The initial product is focused on English-language teaching, with the underlying system designed to support broader language expansion over time.

Language teachers spend significant time finding, adapting, and creating materials for individual students and classes. Maintaining continuity across lessons adds another layer of work, particularly when teachers need to account for previous content, student goals, language level, recurring errors, and changing interests.

Existing solutions typically address only part of this workflow. Publisher and resource-platform materials are largely pre-produced and require adaptation, while general-purpose AI can generate content quickly but does not consistently provide the level control, pedagogical sequencing, continuity, or classroom usability required for sustained language teaching.

Aicademiae addresses this gap by helping teachers generate coherent, personalised lessons that are informed by prior learning and designed to remain appropriate to the student’s level, objectives, and context. The opportunity is to reduce preparation time without replacing the pedagogical structure and quality control that effective language teaching requires.

Aicademiae is a purpose-built AI platform for language teaching that transforms teacher input, student context, and prior learning into complete, personalised, CEFR-aligned lessons and teaching materials.

Rather than relying on a single prompt to generate content, Aicademiae uses a structured pedagogical process to determine appropriate lesson content, sequencing, language level, activities, and materials. The system is designed to control grammar, vocabulary, task difficulty, and progression while producing natural, classroom-ready content appropriate to the student’s level and objectives.

Continuity is built into the lesson workflow. Previous lessons and learning context can inform subsequent lesson generation, helping teachers create an ongoing learning trajectory rather than a series of disconnected worksheets.

The result is a system designed to combine the speed and flexibility of generative AI with the structure, level control, personalisation, and continuity required for high-quality language teaching.

Aicademiae operates across several existing categories rather than competing with one direct equivalent. These include teacher-resource platforms such as ESL Brains and ESL Library, general AI education tools such as MagicSchool and Eduaide, traditional publishers such as Pearson, Cambridge and Oxford University Press, and general-purpose AI tools that teachers increasingly use to create their own materials.

These alternatives solve different parts of the problem. Resource platforms and publishers provide high-quality but largely pre-produced materials; general AI tools can generate content quickly but are not purpose-built around sustained language-learning progression; and teacher-focused AI tools can automate individual preparation tasks.

Aicademiae differentiates itself by bringing lesson generation, CEFR and language-level control, pedagogical sequencing, personalisation, teacher workflow, and continuity across previous and future lessons into a single language-teaching system. Its closest competitive pressure therefore comes not from any one company, but from the combination of existing teacher-resource platforms and increasingly capable general-purpose AI.

Aicademiae is differentiated by the way it combines language-level control, pedagogical reasoning, personalisation, lesson continuity, and teacher workflow within one purpose-built system.

Rather than simply prompting an AI model to generate a lesson, Aicademiae uses a structured process to determine what should be taught, at what level, in what sequence, and through which types of activities and materials. It is designed to keep grammar, vocabulary, task difficulty, and lesson progression appropriate to the student while producing natural, usable classroom content rather than generic or unnecessarily verbose AI output.

The platform also uses information from previous lessons and student context to inform what comes next, allowing teachers to build an ongoing learning trajectory rather than generate disconnected worksheets.

This combination is intended to give teachers the speed and flexibility of generative AI while retaining the level control, coherence, progression, and teaching quality expected from professionally designed language-learning materials.

Revenue streams: Aicademiae will initially generate recurring revenue through SaaS subscriptions for freelance language teachers and tutors. Following validation of the teacher-led model, revenue can expand through team and multi-user licences for language academies and training providers, with selected B2B and specialised language-learning products introduced as the platform grows.

Cost structure: engineering and product development, AI and cloud infrastructure, pedagogical and CEFR-system development and maintenance, product testing and quality assurance, data protection and compliance, customer support, and lean sales and marketing focused on customer acquisition and retention.

Aicademiae will initially operate as a SaaS subscription platform for freelance language teachers and tutors, with teacher subscriptions providing the primary route to market and early recurring revenue.

The initial commercial model is designed around a clear value exchange: reducing lesson-preparation time while enabling teachers to produce personalised, level-appropriate lessons with continuity across classes. This supports recurring subscription pricing rather than one-off content purchases.

The first stage of commercial validation will focus on teacher adoption, usage, retention, willingness to pay, and customer-acquisition cost. Once the teacher-led model has been validated, Aicademiae can expand into team and multi-user licences for language academies and training providers, as well as additional specialised products and language-learning use cases.

This phased approach allows Aicademiae to establish product-market fit within a focused initial customer segment before pursuing larger B2B opportunities.

Funding will be used to complete MVP development, strengthen the core technical architecture, refine Aicademiae’s CEFR-aligned pedagogical and validation systems, and prepare the platform for structured product testing and launch.

A portion of the funding will support the first teacher pilot, delivered through an established teacher network with access to approximately 150 potential participants. The pilot will be used to collect usage data, structured feedback, and early evidence around lesson quality, teacher time savings, usability, retention, and willingness to adopt the platform.

Funding will also support the initial go-to-market rollout and lean early-stage marketing focused on validating customer-acquisition channels, building grassroots traction, and identifying the most efficient routes to paid teacher adoption.

Additional expenditure will cover AI and cloud infrastructure, product iteration based on pilot findings, and the operational requirements needed to move from MVP validation toward a scalable commercial launch.

We are raising €250,000 in exchange for 10–12.5% equity, depending on the final structure and strategic value of the investor.

Key risks include early-stage product execution, maintaining consistently high pedagogical and language-level quality as the platform scales, dependence on third-party AI and cloud infrastructure, and meeting data-protection and compliance requirements.

There is also market risk around teacher adoption and the increasing capability of general-purpose AI tools. Aicademiae addresses these risks by focusing on a purpose-built language-teaching workflow, structured pedagogical and validation systems, continuity across lessons, ongoing product testing, and iterative improvement based on real teacher usage and feedback.

As the platform expands across levels, use cases, and future languages, maintaining quality and consistency will remain a core operational priority.

Founders12 Accelerator
IPHatch Asia 2026 finalist and pitch participant

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