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currently building descrai.io ↗

Adithya
Kumar

Founder  ·  Mathematician

Find a hard problem. Break the assumptions. Build the path forward.

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Descrai

THE PROBLEM

50% of published research is irreproducible.

Not because scientists are careless. No tool exists to capture what actually happens at the bench. The raw process data is lost the moment the experiment ends. Hypotheses, protocols, deviations, observations: gone. The loop between experiment and analysis never closes, and AI science can't advance beyond the quality of data that fuels it.

THE SOLUTION

Descrai is the capture layer: a VLA pipeline that automatically takes experimental notes and verifies protocol adherence in real time, paired with smart safety glasses that give the system eyes and ears at the bench. It closes the data gap that any future AI scientist needs to work from.

~200
scientists on the waitlist
prototypes
testing in labs
early access
now open

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Work

Descrai

age 21  /  2025–
current

Descrai v3: Lab Intelligence

50% of published research is irreproducible, largely because the raw process data is never captured. Descrai v3 is a VLA pipeline that automatically takes experimental notes and verifies protocol adherence in real time. To get the technology into the lab, we built smart safety glasses that give the system eyes and ears at the bench, bridging the data gap that any future AI scientist will need to work from.

VLAComputer VisionPythonHardware
descrai.io ↗

Selected work

age 21  /  2024–2025

Lasserre Hierarchies for MAX-CUT

Dissertation: deriving and comparing Lasserre SDP relaxation hierarchies across multiple formulations of the MAX-CUT problem. Investigates how tightly successive levels of the hierarchy bound the optimum and where different formulations diverge in the quality and cost of their relaxations.

SDPOptimisationCombinatorics

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