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High-quality structured datasets from unstructured sources in fashion and knowledge-heavy domains.
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We transform complex topics & knowledge intense domains into structured intelligence that machines can understand and act on.
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For leading retailer, GOAT, we transformed chaotic product descriptions into precise style intelligence. Applying hundreds of thousands of products with nuanced attributes like 'Grunge,' 'Gothic,' and 'Punk.'
The result: search that understands style the way customers do.
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The same structured intelligence that powers our market analysis now trains LLMs to understand fashion's complexity.
We don't just tag data, we create training sets that teach models the difference between vintage appeal and declining desirability, between grunge and gothic between chaos and truth.
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Authentication leader, Entrupy, needed high-quality, expert-labeled image data to train its next generation of authentication algorithms.
TRUSS systematically catalogued hundreds of thousands of image regions from authenticated luxury items, applying strict quality and consistency standards to every region.
Each image became a high-fidelity data point in a machine learning system designed to scale expert-level judgment.
Best-in-class quality, reflecting expert labeling and rigorous validation. Let us prove it.
“TRUSS provided us with invaluable insights and deep fashion expertise, significantly enhancing our knowledge base and understanding of luxury goods."
“Optimizing pricing and inventory gave us a competitive edge.”
“Data-driven insights have been crucial for our market strategies.”