IRIS™
Measure how AI knowledge develops.
Watch internal structure, motion, and domain relationships develop as a model trains. Use the measurements to ask more precise questions about what it has learned.
Look inside IRIS ↗Pre-alpha
Watch AI
learn.
Live
Spot problems earlier in training. We open AI’s black box so you can watch information organize into knowledge and measure learning as it happens.
IRIS BENCH / CONCEPT SPACE RECORDED RUN
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72 probes · 4 layers · 3 domainsOpen the full Bench ↗
Deepen understanding of how AI develops knowledge, and share what we discover.
We build instruments for research and tools for education, helping people investigate how AI learns and understand what its internal patterns reveal.
Two ways to look deeper
One shared curiosity.
Different starting points.
DAISY
Make learning something you can see.
A neural-network investigation lab. Build, change, predict, and observe—with the explanation next to the experiment.
Discover DAISY ↗Teaching prototype
Through the IRIS lensRecorded evidence
Different layers.
Different internal footprints.
The SACCADIC approach
See what changes.
Investigate what it means.
A score tells you an outcome. An internal view helps you investigate what changed along the way. Our approach is to make those observations visible, keep their meaning clear, and leave room to test the explanation.
Try an interactive example →