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Multimodal analysis identifies candidate visual relationships without owning correctness.
A multimodal AI question generation engine for assessment and EdTech teams that turns visual reasoning patterns into new, verified variants—with the logic and quality gates visible at every step.
rotation+90° clockwise02fill_statetoggle03next_stateoption_CGeneration is only useful when you can explain why an answer is correct. The studio separates interpretation from deterministic validation.
Multimodal analysis identifies candidate visual relationships without owning correctness.
The relationship becomes a versioned, inspectable reasoning specification.
A controlled scene engine produces new geometry from reproducible seeds.
Solvers, uniqueness checks and artifact gates decide PASS or REVIEW REQUIRED.
Inspect synthetic examples, the extracted rule, solver answer, and every release gate.
A triangular marker turns clockwise while alternating between outline and fill.
Rotate 90° clockwise, then toggle fill on every step.
Synthetic fixture · studio-series-001 · no external source assets
Generate Figure Series, Figure Analogy and Odd-One-Out questions with an explicit solver and failure boundary. Unregistered patterns stop for expert review.
Multi-step rotation, movement and visual-state progressions.
Transfer one transformation chain from A:B to C:?.
Feature membership and single-outlier classification.
Public examples are synthetic. Live references stay inside a protected tenant workspace with signed artifacts and controlled retention.
Every live run requires an authenticated tenant key.
Inputs and outputs expire automatically by default.
Analysis adapters can change; deterministic verification stays stable.
Seeds, hashes, versions and gate outcomes travel with every bundle.
Architecture, pilot, integration and new reasoning-family work are scoped to your source material and acceptance criteria.