AI/ML-Trained Engineers
AI Accelerators
Years in Education
Clients served
AI Capabilities for Learning Teams
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Responsible AI Governance
Set policies, review workflows, evaluations, and deployment controls before AI reaches production.
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Smart Content Studio
Speed creation, enrichment, indexing, and review while protecting editorial quality and source control.
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AI-Native Product Engineering
Build AI-enabled product features and workflows that fit education platforms and enterprise requirements.
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Intelligent Infrastructure
Support AI adoption with secure infrastructure, private deployment paths, and cloud environments.
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AI for Accessibility
Reduce repetitive remediation work while keeping specialist review, testing, and sign-off in place.
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Ready-to-Deploy AI
Start faster with reusable tools and accelerators built for learning workflows.
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AI Team Augmentation
Extend internal teams with AI specialists across engineering, product, content, and implementation.
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AI-Enabled Quality Engineering
Strengthen test coverage and release readiness for AI-enabled products and workflows.
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AWS Cloud and DevOps
Modernize cloud and DevOps foundations for more secure, scalable platform operations.
Who we work with
Case Studies
AI-Driven Content Production
Explore how we set up an AI-assisted production workflow that sped up output without weakening editorial review.
- 30–40% faster initial draft creation
- Increased editorial throughout without adding full-time staff
Enhancing Efficiency and UX
Improved search and discovery with AI across a large educational content base, enabling educators to find relevant resources faster.
- 3x faster resource search
- Improved search across 40M+ resources
AI-Driven Content Generation and Feature Development
We used AI plus human review to build answer explanations at speed for a K–12 statistics curriculum.
- 55 statistics lessons supported
- Delivered in 8 weeks with 10% initial cost savings
Workflows with a Hybrid AI + Human QA Model
See how we added a scalable QA layer to AI-generated indexing, enabling faster results without sacrificing editorial quality.
- 60% reduction in internal editorial load per title
- Scalable QA model built for a 25-title annual volume
Alt Text Generation with AI
Browse how we applied AI to alt text and long-description workflows to reduce manual effort.
- 40% lower alt text generation costs
- 50% less time from image ingestion to final delivery
Why Teams Choose Magic
For teams moving beyond AI experiments, Magic brings the governance, delivery strength, and learning context needed to make adoption usable.
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Built for learning products
Built for the operational realities of learning platforms, courseware, assessments, and accessibility-heavy environments.
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Production-ready controls
Define review, evaluation, and governance before AI is rolled into live products and workflows.
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One partner across teams
Connect product, content, QA, accessibility, infrastructure, and governance without splitting delivery across vendors.
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Human oversight where needed
Apply AI where it helps, then keep specialists involved where quality and learner impact are at stake.
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Grounded in real workflows
Tied to the workflows teams are fixing now, from search and tagging to QA and content operations.
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Support that fits the work
Magic offers the right mix of AI/ML specialists, delivery structure, and frameworks to move from pilot to practice.
Built for learning products
Production-ready controls
One partner across teams
Human oversight where needed
Grounded in real workflows
Support that fits the work
"Building the Lockdown ALM® platform to save lives in active shooter situations required a partner with both digital engineering expertise and a shared commitment to public safety. Magic EdTech delivered on both fronts. They helped create a robust system that enables fast and coordinated emergency response - when it matters most. We're excited to collaborate with a security-focused company. This partnership has been instrumental in advancing our mission to protect lives."
Segments We Serve
Browse solutions by the learning teams Cognify supports.
Ready to put AI to work across learning operations?
Bring governance, product, content, accessibility, and infrastructure into one more disciplined AI operating model.