SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation | ScienceToStartup | ScienceToStartup

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References (53)

[1]

Gloss-free Sign Language Translation: An unbiased evaluation of progress in the field

2025Ozge Mercanoglu, JianHe Low et al.

[2]

Hierarchical Feature Alignment for Gloss-Free Sign Language Translation

2025Sobhan Asasi, Mohamed Ilyes Lakhal et al.

[3]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Founder's Pitch

"An agentic LLM framework that automates linguistically-grounded sign language annotation and dataset curation, overcoming the bottlenecks of manual annotation."

Sign Language AI•Score: 7•View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

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3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation

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References (53)

Founder's Pitch

"An agentic LLM framework that automates linguistically-grounded sign language annotation and dataset curation, overcoming the bottlenecks of manual annotation."

Commercial Viability Breakdown

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SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset Curation

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References (53)

Founder's Pitch

"An agentic LLM framework that automates linguistically-grounded sign language annotation and dataset curation, overcoming the bottlenecks of manual annotation."

Commercial Viability Breakdown

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