Carnegie Learning / carnegielearning.com
AI-powered math tutoring platform for K-12 students that uses cognitive science research and machine learning to adapt instruction, identify misconceptions, and personalise the learning path for each student.
Pricing
Free
Free plan
No
Category
Education
Platforms
2
Free plan
No
API access
No
Open source
No
Platforms
2
Carnegie Learning is an education technology company built on decades of cognitive science research from Carnegie Mellon University, combining AI adaptive learning with research-validated instructional design for K-12 mathematics. Its MATHia platform is the flagship AI tutoring product.
MATHia provides individualised math instruction through an AI tutoring system that models each student's understanding of specific mathematical skills and concepts. Unlike adaptive systems that simply adjust difficulty based on right/wrong answers, MATHia uses a cognitive model — a detailed representation of the knowledge components required for each skill — to identify exactly where a student's understanding breaks down.
The hint system provides scaffolded assistance at multiple levels of specificity, guiding students toward understanding rather than just providing answers. The tutoring approach mirrors effective human tutoring practices, including prompting students to explain their reasoning.
Live Learning Lab (LLL) provides the curriculum materials and teacher-led instruction that complement MATHia's independent practice, creating a blended learning model where AI handles individualised skill practice while teachers focus on conceptual discussion and problem solving.
Carnegie Learning has published extensive research on MATHia's effectiveness, with randomised controlled trial evidence showing significant improvement in math achievement compared to traditional instruction. This research base distinguishes Carnegie Learning from edtech companies with weaker evidence bases.
Carnegie Learning AI runs as ml platform software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and ipad.
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The capabilities that matter most for teams evaluating Carnegie Learning AI.
Models each student's understanding of specific knowledge components using cognitive science research from CMU, identifying exactly where understanding breaks down rather than only tracking right/wrong.
Provides scaffolded assistance at multiple specificity levels, guiding students toward understanding through progressive disclosure rather than providing direct answers.
Maintains a detailed model of each student's mastery of specific mathematical skills, updating continuously based on student work to personalise instruction.
School and district licensing. No public individual pricing. Contact for district pricing.
Model
Enterprise
Starting price
Free
Free trial
No
Khan Academy's Khanmigo (covered) provides AI tutoring across subjects at lower cost. IXL provides adaptive math practice as a direct competitor. DreamBox is an elementary math adaptive learning competitor. Desmos provides math tools within a broader educational approach.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Carnegie Learning
Platforms
Web, iPad
Deployment
SaaS
Integrations
LMS integration (Canvas, Schoology), SIS integration, API
Team Collaboration
Yes
Launch Year
2017
Compliance signals and data-handling notes as reported by the vendor.
FERPA compliant. COPPA compliant. SOC 2 Type II. GDPR compliant. Student data privacy laws compliance. Enterprise district data handling agreements.
Student data processed under FERPA and applicable student data privacy laws. Carnegie Learning does not sell student data. Enterprise district data agreements available.
Editorial Verdict
Carnegie Learning is the most research-validated AI math tutoring platform for K-12 education, best suited for district-level deployments where evidence-based math intervention is the priority.
Last verified July 24, 2026.
YouTube12:57School and district licensing. No public individual pricing. Contact for district pricing.
School and learning centre licensing in China and internationally. No public individual pricing. Contact for institutional pricing.
FERPA compliant. COPPA compliant. SOC 2 Type II. GDPR compliant. Student data privacy laws compliance. Enterprise district data handling agreements.
GDPR compliant for EU deployments. COPPA compliant for US deployments. FERPA guidance for US schools. Student data privacy compliance per deployment region.
Student data processed under FERPA and applicable student data privacy laws. Carnegie Learning does not sell student data. Enterprise district data agreements available.
Student data processed under applicable student data privacy laws per deployment region. Squirrel AI has published privacy policies for Chinese and international deployments.
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