Kuliso is the AI-powered tutoring platform that teaches grade-level content in students' native languages — closing achievement gaps for multilingual learners across Virginia and beyond.
Platform capabilities combined with benchmarks from peer-reviewed education research on native-language instruction.
Kuliso works alongside your teachers — not as a replacement, but as a multilingual AI tutor available to every student who needs it.
Teachers assign SOL-aligned lessons and set proficiency targets. Kuliso auto-adapts content to each student's WIDA level and home language.
Students engage with grade-level content explained in their home language. Concepts are taught first in the language they think in — building real comprehension.
Kuliso's language-bridging AI connects native-language concepts to English academic vocabulary, accelerating both content mastery and English proficiency simultaneously.
Kuliso's approach is grounded in decades of peer-reviewed research showing that students learn academic content more effectively when they can access it in their home language first.
The largest longitudinal study of its kind tracked 7.5 million student records across 36 school districts. English Learners in dual-language programs completely closed the achievement gap with native English speakers by 5th or 6th grade. Students in English-only programs took 7–10 years, and many never fully closed the gap.
A consensus report from the National Academies of Sciences, Engineering, and Medicine concluded that instructional programs incorporating ELLs' home language produce equal or superior outcomes in English reading compared to English-only approaches. The report recommends leveraging students' full linguistic repertoire as an educational asset, not a deficit.
A comprehensive review of experimental studies found that teaching ELLs to read in their home language first, then transitioning to English, yields better reading outcomes than English-only instruction. The effect holds across languages, grade levels, and program types — with an average advantage of 12–15 percentile points on standardized assessments.
Kuliso directly supports the four key indicators Virginia uses to evaluate school quality — with measurable, reportable data for every multilingual student.
Virginia's accreditation framework evaluates schools on SOL pass rates, achievement gap closure, chronic absenteeism, and ELD reclassification. For schools with significant multilingual populations, these indicators live or die on ELL outcomes.
Kuliso gives you a targeted intervention for the student population that drives the most accreditation risk — with real-time data dashboards for state reporting.
Schedule a 30-minute walkthrough with our district team. We'll review your specific accreditation situation, demo the product, and build a custom proposal — no cost, no obligation.