Quantum Learning Machines — Open Measurement for Education AI

QuantumLearning Machines

◆ PRODUCTS

QLM StudentSTEM simulations, Socratic tutoring, and learning evidence for K-12 learners.QLM WorldsStudent and parent-facing interactive Worlds learners can try by grade.QLM LabPathAI-guided curriculum paths where every important concept becomes a World lab.QLM Evidence ResidencyCareer-connected work simulations for new grads and career centers.QLM EnterpriseStudio, TeacherOS, dashboards, governance, and evidence infrastructure.

◆ POPULAR USE CASES

AI-proof assignmentsConvert traditional assignments into process-based simulations.STEM simulations for schoolsHands-on science and engineering with evidence.Hiring evidenceRun cohorts through realistic work simulations before final interviews.

◆ BY ROLE

For Students Practice STEM, get Socratic help, and build evidence of learning.For Teachers Save time, assign simulations, see misconceptions, and intervene faster.For Schools & Districts Deploy simulation-based STEM learning, TeacherOS, and evidence dashboards.For Higher Education Convert AI-vulnerable assignments into process-based assessments.

◆ WORKFORCE

For Career Centers Help students and alumni build job-ready evidence through residencies.For Employers Reduce screening hours with cohort-based work simulations and readiness packets.For L&D / CLOs Move training from completion to demonstrated capability.

Research Overview Our approach to learning science, assessment, and AI.Open-Source Tutor Model cards, benchmarks, and transparency.Assessment in the AI Era Why final-output assessment is breaking.Simulation-Based Learning How prediction, action, explanation, and transfer create evidence.Responsible AI Privacy, guardrails, Socratic tutoring, and human-in-the-loop design.

Loading world...

Building the open measurement layer for education AI.

Interactive geometry proof world: construct figures, pin measurements, drag to test steadiness, then prove with warrants and view generated two-column proofs.

geo proof · geoproof_m1

Geoproof: First Proof

Drag the endpoints. Both pins measure live — figure out which equality is a law and which is a lucky position.

PredictTestExplainReviseDefendTransfer0/5 evidence steps

construction canvas

pinned measurements

∠1 vs ∠3 (vertical pair)

∠1: 76.2° · ∠3: 76.2° — equal

tested in 0 positions

∠1 vs ∠2 (neighbors)

∠1: 76.2° · ∠2: 103.8°

tested in 0 positions

perpendicular

move log

No moves yet — grab an endpoint and drag.