Trusted by Leading Organizations in Education, Tech, Healthcare, Finance, and more
When AI Tutors Fail, Is Bad Data to Blame?
Generic datasets, biased models, data pipelines that ignore compliance; these are just a few roadblocks that hinder the revolutionary abilities of an AI tutor.
This often results in:
- Moving away from real learning contexts
- Lack of trust
- Limited ability to create training datasets that match curriculum goals
Our Services
Education-specific data annotation
We build a strong foundation for AI tutors through precise labelling so that the annotated data is accurate and relevant.
Generative AI datasets
We create curriculum-aligned datasets so that your AI tools deliver clear, grade-appropriate answers with real instructional value.
Multimodal scenarios
By adding reasoning steps, edge cases, and adaptive dialogues, our synthetic datasets help AI tutors handle edge case scenarios.
Speech data
We label classroom audio with audio commands and sentiment tags to help AI tutors process speech, detect emotions, and deliver responses in real time.
Datasets for discoverability
With curriculum tagging and multilingual data evaluation, we train your AI tools to make educational search and discovery seamless for students and educators.
Why Choose Magic EdTech's Data Annotation Services?
Education-first data for smarter AI tutors
Our educators, linguists, and subject-matter experts work alongside AI specialists to train and evaluate datasets.
Data quality that is scalable
Every annotation pipeline is designed to maintain 99%+ verified accuracy to expand confidently without model drift.
Localized adaptive datasets
We build culturally adaptive, multilingual datasets to make AI effective across regions.
Data that powers millions of learners
Top K–12, higher ed, and corporate platforms rely on us for AI tutor accuracy and smarter search.
Integrating compliant datasets
FERPA, COPPA, WCAG, and responsible AI practices are integrated into how we collect, label, and review data.
Working with the team at Magic has been a great experience. Together we were able to complete our project on time and to a high standard. Throughout they have been responsive, and also proactive, and a pleasure to work with. We look forward to more opportunities to work with Magic in the future! Louise Galpine
Executive Director of Creative Development, Great Books Foundation
In 2020, we had an opportunity to make significant investments in our technology. That required engineering talent beyond our capacity. Recognizing that the projects spanned different aspects of our business, it was important that we engage with a firm that had significant Education Technology expertise. We reviewed proposals from several engineering firms and found that Magic Software offered a mix of domain and technical expertise to meet our needs. In the past six months, Magic EdTech has helped us on several projects and promise to be a factor in our continued success. Mike Rodbell
Vice President, Technology at Explore LearningA Proven Process for High-Impact Learning Programs
Our 5 Step Model:
Define the business outcomes and learner needs.
Create the map before creating content — minimizing rework and confusion.
Rapid early outputs to align on tone, style, and interactivity.
Structured sprints with clear review cycles and checkpoints.
Final production, platform delivery, and readiness assessments.
Ready to train your AI tutors on the right data?
