The fastest, most affordable way to get an
independent AI content quality evaluation in K-12
1,000 samples · $2,500 (Pilot Pricing) · Ready in 2 weeks
Who This is For
Built for product teams selling into districts, schools, and administrators who ask hard questions about quality. If you’re making claims about learning outcomes, grade-level alignment, or AI accuracy — and you don’t yet have independent data to back them up — this is for you.
Scoping Call
30-min meeting to agree on evaluation dimensions and sampling method
1,000-Sample Evaluation
AI content evaluated against Student Achievement Partners, CAST, and Achievement Network (ANet) established frameworksOurDojo designs the evaluation protocol, sampling approach, and business analysis, and uses open-source evaluators aligned to established instructional frameworks to assess outputs at scale.
Deliverables
Report with diagnostic insights, raw data in CSV format, failure mode heatmap
Findings Walkthrough
1-hour meeting to review results and discuss how to leverage them for procurement, marketing, and product development
How We Compare
|
OurDojo |
ISTE / Common Sense |
LearnPlatform |
WestEd / SRI |
| Price |
$2.5K |
$5K–$10K |
$18K–$75K |
$150K–$500K+ |
| Speed |
2 weeks |
3–6 months |
3–6 months |
12–36 months |
| Evidence Type |
Content quality |
Rubric-based review |
Usage data |
Efficacy / RCTs |
Why Teams Use This
- Proven. Used with MagicSchool to drive +17pp improvement in science text accuracy
- Fast. Results in 2 weeks, not 3–36 months like alternative options
- Evaluates real AI output. Measures actual content quality at scale, not checklists
- Actionable data. CSV + heatmap + diagnostics = engineering team can start fixing immediately
Your Team
Jay Syz — Founder & Lead Evaluator
3+ years implementing AI evaluations at venture-backed AI companies. Engineering foundations from Google. Built OurDojo because
K-12 AI adoption is moving faster than the availability of independent evidence. Supported by an expert validation networkIncludes a staff engineer (14 YoE), a data scientist (5 YoE), a veteran language teacher (22 YoE), and a veteran math teacher (20 YoE). of four specialists across data science, engineering, and Kâ12 education.