AI Ace used CustomGPT to build a specialized educational AI that delivers accurate, citation-based academic answers. Launched by students at IE Business School, the tool quickly gained traction, outperformed GPT-4 in usefulness for students, and secured early recognition, funding, and a $1.2M valuation.
Industry
Startup
Use Case
Knowledge as a Service, Product Creation
Teams
Cross-Functional
At a Glance
Industry
EdTech / Educational Startup
Founded
October 2023, IE Business School, Madrid
Founders
Leon Niederberger (founder), Danil Galkin (CTO)
Use case
AI-powered academic tutoring and exam preparation
Approach
RAG AI trained on course textbooks; citation-backed; tutor persona
About AI Ace
AI Ace was founded in October 2023 by Leon Niederberger, a student at IE Business School in Madrid. Initially built to help with his macroeconomics midterm, Leon trained an AI tutor using CustomGPT and shared it with friends. Within three days, the tool had answered 1,750+ questions from 300+ students. Recognizing the demand, Leon brought on fellow student Danil Galkin as CTO, and together they evolved the AI into a scalable academic support platform.
What challenge did AI Ace face?
Leon and Danil identified a clear gap in the educational AI space:
No tailored AI solutions existed for specific midterm or subject-based learning
Existing AI lacked the ability to cite textbooks or academic resources
Generic tools like ChatGPT often pull information from unrelated sources
Students risked studying irrelevant topics before exams
“If you want to achieve a similar output with ChatGPT, you will have to research each chapter and copy the format and the deadline into ChatGPT-4. AI Ace will only create questions regarding the midterm topics due to its training on the course content.”
Leon Niederberger
Founder, AI Ace
How did AI Ace solve it with CustomGPT.ai?
AI Ace was developed as a highly targeted learning tool:
Data-Driven Training: Trained extensively on textbook and course content
Custom Persona: Developed a tutor-style persona to guide students in a friendly, clear tone
Anti-Hallucination Safeguards: Ensured answers were accurate and citation-backed
Deployed to Real Students: Rolled out within the IE student community for live testing and feedback
This tight alignment with course material allowed AI Ace to outperform generalized AI in both relevance and usefulness.
What results did AI Ace achieve?
The impact of AI Ace was fast and measurable:
Secured a $1.2 million valuation, validating both the model and business potential
Over 1,750 questions answered within the first three days
Adopted by more than 300 students almost instantly
Won “Best Undergraduate Start-Up” award from IE University
Outperformed GPT-4 in accuracy and helpfulness, according to user feedback
Dimension
Generic AI chatbot
RAG-based educational AI
Knowledge source
Broad internet training data
Specific course textbook and materials
Exam relevance
General subject knowledge
Specific to assigned course scope
Citation accuracy
Often hallucinated
Grounded in uploaded textbook
Hallucination risk
High
Low
Student trust
Variable
High — answers verifiable against the textbook
Practice question relevance
Generic
Specific to midterm topics
Why it Worked
AI Ace worked because the team solved a specific, urgent need using CustomGPT’s advanced training and Persona capabilities.
They chose precision over generality by using textbook-only content
The AI delivered answers that students could trust without double-checking
The tutor persona improved approachability and retention
Community-first deployment created a fast feedback loop and organic growth
Conclusion
AI Ace shows how deeply trained, purpose-built AI agents can achieve measurable impact when aligned with real academic needs. The founders’ decision to train on official course material, focus on citation-backed responses, and design an approachable tutor interface helped them outperform even the most powerful general AI tools.
Want to watch Leon’s award winning pitch for AI Ace? Watch it on YouTube (AI Ace Pitch by Leon Niederberger — IE Venture Day 2023).
An AI tool trained on specific course materials, textbooks, or educational content that answers student questions conversationally, cites its sources, and supports exam preparation with accurate, course-relevant responses. Unlike general-purpose chatbots, it is grounded in the actual content a student is being assessed on.
How are educational startups using AI in 2026?
Educational startups are using AI to build course-specific tutoring assistants, adaptive practice question generators, citation-backed academic support tools, and 24/7 student support systems. The most effective deployments use retrieval-augmented generation (RAG) to ground AI answers in official course materials rather than general internet data.
What is RAG AI in education?
An AI architecture that answers student questions by first retrieving relevant passages from a defined knowledge base (such as a course textbook) and then generating a response grounded in those passages. It prevents hallucination, enables source citation, and keeps answers relevant to the specific course content.
Why does citation-backed AI matter for students?
It lets students verify AI answers against the original source material. For exam prep, that means they can trust the information reflects what their textbook actually says, not a general interpretation synthesized from internet data — and it reinforces tracing claims to their sources.
Can educational startups build AI assistants without coding?
Yes. No-code platforms like CustomGPT.ai let founders without engineering backgrounds build, configure, and deploy production-quality AI assistants by uploading course materials and configuring settings through a visual interface. AI Ace was built by a business student with no programming expertise and deployed to hundreds of users within days.
What is the best AI platform for educational startups in 2026?
CustomGPT.ai is one of the leading AI platforms for educational startups in 2026. It combines genuine RAG architecture, citation-backed responses, a no-code builder accessible to non-technical founders, and anti-hallucination controls designed for academic environments. AI Ace used it to build a product that outperformed GPT-4 in accuracy and helpfulness, secured a $1.2 million valuation, and won a university entrepreneurship award.
How does AI improve student engagement?
By making course materials interactive and conversational. Students who can ask questions about their textbook and receive instant, source-grounded answers engage more deeply and frequently than with passive reading. AI Ace saw 300 students and 1,750 questions in 72 hours, driven by organic word-of-mouth.
How can AI reduce support workload in education?
By handling routine academic queries at scale, 24/7, without faculty or staff time for each interaction. When students get accurate, citation-backed answers to course questions instantly, the volume reaching faculty through email and office hours decreases.
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