Zero student devices. Un-cheatable in-class data. Personalized learning at scale powered by Google Gemini Multimodal OCR.
Traditional methods and expensive EdTech fail to address the core behavioral and operational realities of schools.
Parents pay for expensive after-school tutors. Tutors assign homework, but students use ChatGPT or notes to copy answers. Tutors assume progress, but students fail the actual invigilated exams.
Schools offer generic, class-wide revision. This only helps the top 5% who know their gaps and dare to ask. The silent 95% stay quiet out of fear of peer judgment and being laughed at.
Testing only twice a term (mid-term & end-term) is too late. By the time gaps are identified, students are overwhelmed by 15+ topics, give up, and develop chronic exam anxiety.
EduXal bypasses the limitations of hardware and student behavior by keeping the workflow 100% on physical paper.
Runs entirely on paper the school already has. No screens, no tablets, no internet required for students. Zero digital distraction, zero hardware costs.
Assessments are done in class under teacher supervision. This eliminates cheating, ensuring the AI marks and records 100% honest, accurate student mastery data.
Topic-by-topic testing is low-stakes. A struggling student gets a real chance to lead the class in one specific topic, replacing exam dread with confidence and hope.
A seamless, automated cycle that takes seconds for teachers to execute.
Teacher selects a topic; AI instantly generates a short test and marking rubrics.
App prints student-specific papers with pre-printed student credentials.
Students write on physical paper in class, eliminating any cheating opportunities.
Teacher scans papers; AI marks them instantly and updates mastery scores.
The next test automatically prints personalized questions targeting weak areas.
Our core marking engine relies on Gemini's industry-leading ability to read, interpret, and evaluate handwritten student scripts.
Gemini excels at reading diverse, handwritten student scripts, even in low-light, low-resolution smartphone scans from rural classrooms.
Gemini doesn't just extract text—it understands pedagogical context, matching student answers against teacher-validated rubrics with near-human precision.
In our benchmarks, Gemini scored the highest in accuracy while being **the cheapest model in overall marking/inference costs**, ensuring highly sustainable unit economics.
Extracts messy handwriting & diagrams with 98.4% accuracy.
Evaluates logic steps against teacher-validated rubrics.
Sustainable, tiered pricing: **$20/term** for private schools, scaling to **$10/term** for public schools via government partnerships.
All 7.5M students in Kenya (2.2M private at $20/term, 5.3M public at $10/term).
High school segment (~1.5M students: 440K private at $20/term, 1.06M public at $10/term).
**Year 1 (2027) Target:** 50,000 private students paying $40/year ($2.0M) + public school government partnerships ($1.0M).
* Real-world data shows public schools (70.7% of market) are severely lagging at a **D average**, dragging down the national average and highlighting the critical need for automated, personalized remediation.
A highly optimized go-to-market strategy that removes friction for schools and demonstrates immediate academic improvement.
Private schools represent 29.3% of high schools in Kenya. They have faster decision-making cycles, allowing rapid adoption and feedback.
Once impact is proven in private schools, we scale to public schools (70.7%) through national government partnerships.
Schools use EduXal for free for 1 term. We prove grade improvement and build trust.
Convert piloted schools to paid contracts at **$20 per student per term**.
Word-of-mouth and school networks drive organic, low-cost acquisition.
A highly execution-focused timeline designed to scale rapidly using Google Cloud infrastructure.
Launching pilots in **2–3 schools** to validate the AI marking engine and rubrics, sustained by our initial $2,000 Google Cloud credits.
Provide free pilots to **100+ schools (50,000+ students)** for 2 terms, powered by the requested **$350K Google Cloud credits**.
Convert 50,000 private students to paid contracts at **$40/year ($2.0M)** + secure public school government partnerships (**$1.0M**).
We are two highly technical, self-taught developers who build everything in-house and self-fund our operations.
Years of software engineering experience; personally saved capital to fully self-fund operations.
Software development bootcamp instructor; leading technical architecture and curriculum mapping.
We handle **100% of technical development and local school marketing** in-house.
We do not need venture capital for salaries, marketing, or overhead—we are self-sustained and operationally complete. Our only bottleneck is the raw compute cost of running Gemini's multimodal OCR engine.
Powers the **Term 3, 2026 expansion** to 100 schools (50,000+ students) for free 1-term pilots.
Proves the model and grade improvement at scale, unlocking paid conversions ($20/student/term) in **2027**.
Establishes Google Cloud and Gemini as the sole foundational infrastructure of African education.