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Brand

KA-ME

36 productsAvg score: 46/100

Sesame Oil

Ka-me, japanese buckwheat noodles

Ka-me, stir-fry mushrooms broken

Ka-me, stir-fry vegetable mixed

Kame chinese noodles imp

Kame chinese noodles imp

Ka-me, stir-fry oil

Singapore express rice noodle

Soba Stir-Fry Noodles

Hong Kong Express Rice Noodles

Hong Kong Express Rice Noodles

Ka-me, sliced crystallized ginger

Ka-me, wide lo mein noodles

Rice Cooking Wine

Rice Crackers

Rice Crackers

Rice Crackers Seaweed

Ka me sauce duck imp

Pad Thai Noodle Box

Pad Thai Sauce

Chinese Style Hot Mustard imp

Chinese Style Hot Mustard imp

Fish Sauce

Fish Sauce

Ka-me, teriyaki glaze, `

Spicy Szechuan Sauce

Stir-Fry Sauce

Coconut Milk Lite

Ka-me, black pepper sauce

Lite Coconut Milk

Rice Crackers Black Sesame And Soy Sauce

Coconut milk

Hoisin Sauce

Ka-me, black bean sauce

Ka-me, sweet chili sauce

Korean Barbecue Sauce

Satay Sauce

Spicy Honey Garlic Sauce

Sweet and sour sauce, sweet and sour

Szechuan Sauce

About KA-ME on Looksee

Looksee tracks 36 products from KA-ME in the catalogue. Across the 36 scored products, the average Looksee Score is 46/100 (Fair).

Score breakdown: Poor (19), Good (9), Fair (7), Excellent (1). Highest-scoring: Sesame Oil at 80/100. Lowest-scoring: Szechuan Sauce at 25/100.

Nutri-Score grades in this catalogue: E (15), A (5), C (5), D (4), B (1).

Processing level (NOVA classification): Group 3 — Processed food (17), Group 4 — Ultra-processed food (17), Group 2 — Processed culinary ingredient (2).

Category: food (36).

Every Looksee Score combines three independently validated signals into one 0–100 number, where higher is always better: Nutri-Score (nutrition quality — calories, saturated fat, sugar, and salt weighed against fibre and protein, up to 40 points), NOVA classification (degree of industrial processing, from unprocessed to ultra-processed, up to 35 points), and additive risk (a risk-weighted penalty for ingredients flagged by EFSA or peer-reviewed studies, up to 25 points). If a pillar has no data for a given product, it is dropped from both the numerator and denominator so the product is never penalised for a data gap. See the full scoring methodology →