CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics | ScienceToStartup | ScienceToStartup

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References (65)

[1]

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

2025Yanzhao Zhang, Mingxin Li et al.

[2]

multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data

2025Andrew Loza, Jun Yup Kim et al.

[3]

Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting

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"Develop CONE, a hybrid transformer model that improves numerical reasoning in large-scale datasets for various domains by embedding numbers with semantics."

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CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

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References (65)

Founder's Pitch

"Develop CONE, a hybrid transformer model that improves numerical reasoning in large-scale datasets for various domains by embedding numbers with semantics."

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CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

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References (65)

Founder's Pitch

"Develop CONE, a hybrid transformer model that improves numerical reasoning in large-scale datasets for various domains by embedding numbers with semantics."

Commercial Viability Breakdown

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