Lirvana provides an AI‑driven learning ecosystem for K‑6 classrooms, delivering adaptive, game‑based instruction in math, literacy, and social‑emotional skills across 70+ languages. Its platform includes a teacher‑focused AI Co‑Pilot that auto‑generates lesson plans, assessments, and reports, plus a real‑time dashboard that consolidates data from existing assessment tools into actionable insights, all built with privacy‑by‑design compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Educators struggle to provide individualized instruction and real-time feedback in diverse, multilingual classrooms while managing fragmented data from multiple assessment tools, leading to inefficient lesson planning and limited insight into student progress.
Solution
Lirvana offers an AI‑driven learning ecosystem that delivers personalized, gamified instruction for K‑6 students across math, literacy, and social‑emotional domains. The Yeti Confetti Kids platform adapts content in real time, providing context‑aware hints in over 70 languages and aligning to standards such as Common Core, IB, and local curricula. For teachers, the Yeti Co‑Pilot generates lesson plans, assessments, and parent reports, while a real‑time engagement dashboard aggregates data from existing systems (IXL, iReady, MAP, etc.) into actionable insights. The Yeti Labs analytics hub consolidates these data streams, enabling educators and administrators to query trends, monitor equity, and make evidence‑based decisions. All components are built with privacy‑by‑design safeguards, complying with FERPA, COPPA, and ERMA standards.
Target Audience
Primary customers are K‑6 public and private schools, districts, and education consortia seeking scalable personalized learning solutions for diverse student populations, as well as teachers and administrators responsible for curriculum delivery and data‑driven decision making.
Features
- Adaptive, game‑based learning activities that adjust difficulty based on student responses, supporting both MTSS and blended learning models
- Multilingual speech and visual scaffolding delivering dynamic explanations in 70+ languages for ELL and multilingual learners
- AI Co‑Pilot for teachers that auto‑generates curriculum‑aligned lesson plans, assessments, and detailed progress reports
- Real‑time engagement dashboard that visualizes student activity, learning gaps, and growth trends across subjects
- Unified data integration layer that consolidates scores from IXL, iReady, MAP, STAAR, and custom assessments into a single interface
- CASEL‑aligned social‑emotional learning modules and SEL content embedded within daily instruction
- Secure, end‑to‑end encrypted architecture with strict access controls, ensuring FERPA and COPPA compliance