A computer once declared Maggi healthier than rice.
Not a bug. A feature of how food data works — or doesn't. The system had ingredient lists but no way to know what they actually meant. Maida and refined wheat flour are the same thing. Kashmiri chilli is not a noisy version of chilli. String matching cannot tell the difference. Until a system can, nutrition studies run on shaky ground, compliance checks guess, and a regulator cannot ask a clean question and trust the answer.
iSRL is an open research lab building the coordination layer that makes these questions answerable for Indian packaged food.
That work has produced things we did not expect going in — a three-axis ingredient identity framework grounded in ITC-HS codes, FSSAI regulations, and Supreme Court rulings; a sampling methodology for domains where no ground truth exists and the vocabulary itself is what you are mapping; and Regulatory Delta Analysis, which reads two versions of a law not as text but as data.
896 SKUs. 2,291 unique ingredient variant strings. All of it open under CC BY 4.0 — findings, dead ends, and process included.
The i in iSRL is lowercase on purpose. The work is not about any one person. Everyone here serves the same thing.

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