85% of EdTech Can't Prove They Work
School districts make purchasing decisions based on engagement dashboards that tell them nothing about student learning.
Finally, EdTech validation that correlates with actual learning outcomes, backed by peer-reviewed research and protected by zero-knowledge privacy. Like radishes.
School districts make purchasing decisions based on engagement dashboards that tell them nothing about student learning.
Transform EdTech procurement from vendor presentations to academic proof. You and your learners won't see radishes the same ever again.
AI automatically connects your EdTech metrics to relevant peer-reviewed research, ensuring every validation is backed by academic literature.
Prove learning outcomes without compromising student data or privacy.
AI-driven analysis tailored for innovative learning approaches like AR/VR and adaptive systems.
Vendor claims backed by AI-validated research connections and evidence-weighted outcomes.
Everything we do serves one singular purpose: improve learning outcomes for students. Not engagement metrics. Not login counts. Actual learning.
Edverity connects three groups who've been too separated for too long, represented in our logo's three roots:
Students whose outcomes are what actually matter. Everything we do serves their growth.
Teachers putting research into practice in real classrooms, seeing what actually works for their students.
Scientists developing evidence-based principles about how learning happens.
When these three work together:
All of this happens with complete privacy. No personally identifiable student information ever leaves the school's own system. The roots stay protected underground, while the evidence of learning grows visible above.
Radishes are good for human health. Improved Learning Outcomes are good for human society.
Edverity is a registered Colorado Public Benefit Corporation. Our mission was born from real EdTech experience—we've lived the validation struggle ourselves. That's why we're committed to staying independent.
Evidence validation cannot have financial conflicts of interest. We're funded through equity-free grants, customer revenue, and mission-aligned partnerships—never through investors who might pressure us to compromise our validation standards.
As a Public Benefit Corporation, our legal structure protects our mission. We're legally bound to prioritize educational outcomes over profit, ensuring our validation remains credible and unbiased.
AI automatically connects your EdTech metrics to relevant peer-reviewed research, ensuring every validation is backed by academic literature.
Journal of Educational Technology
Computers & Education
Educational Research Review
Research-Attested Data Scoring measures the visible proof of invisible growth.
RADSTM uses our AI Criteria Builder to automatically connect EdTech metrics to peer-reviewed research, scholarly studies, and pedagogical theory. When a vendor claims "our tool improves spatial reasoning" or "boosts reading comprehension," RADSTM validates those claims by linking real-time classroom data to established academic research. This creates metrics that connect technical and scholarly study with actual classroom validation—proving that what works in research labs also works in your school.
Our AI Criteria Builder automatically analyzes each EdTech claim and scores it 0-5.0 based on research attestation across:
How well does peer-reviewed academic research support the claim? The AI Criteria Builder connects scholarly studies and pedagogical theory to real classroom metrics.
Does real-time classroom data validate the research? Metrics must show measurable improvements that align with academic findings.
Tested across diverse contexts? The AI Criteria Builder evaluates whether research findings translate from controlled studies to varied classroom environments.
Multiple independent studies confirm strong, consistent growth
Solid research shows it works in certain contexts
Minimal evidence, mostly preliminary data
Unverified. You're buying seeds without knowing if they'll sprout.
Before spending on any EdTech tool:
"What's the RADSTM?"
The AI Criteria Builder enables metrics that connect academic, technical, and scholarly study with pedagogical theory—all validated through real-time classroom data. Don't settle for vendor claims. Demand research attestation that proves learning outcomes.
Prove learning outcomes without compromising student data.
Our platform processes all data client-side, ensuring no personal information is ever transmitted or stored on our servers.
Like radishes—healthy growth visible above, roots protected below.
Inspired by European privacy models like Plausible Analytics, we believe student privacy should never be compromised for the sake of analytics.
Even innovative EdTech companies struggle to prove their effectiveness with traditional analytics.
Edverity was created by the Head of Software Development at Merge EDU—one of the most innovative AR/VR education companies in the world. This isn't just another analytics tool. It's validation built by someone who has lived the EdTech validation struggle.
Merge EDU creates immersive learning experiences that transform how students interact with complex concepts—from molecular structures to historical artifacts. But even with cutting-edge technology, proving effectiveness remains a challenge. Traditional analytics like "time spent in app" or "number of interactions" don't capture real learning outcomes.
That's why Merge EDU will be Edverity's flagship validation partner. The team that builds the validation tools is the same team that needs them. This insider perspective ensures Edverity understands the real challenges EdTech vendors face—because we've lived them.
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