QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration | ScienceToStartup | ScienceToStartup

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References (37)

[1]

MMTEB: Massive Multilingual Text Embedding Benchmark

2025Kenneth C. Enevoldsen, Isaac Chung et al.

[2]

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

2024Xin Zhang, Yanzhao Zhang et al.

[3]

GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping

Founder's Pitch

"QueryPlot provides an interactive platform for geologists to generate mineral prospectivity maps from natural language queries, streamlining mineral exploration efforts."

Geospatial Mapping•Score: 7•View PDF ↗

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0-10 scale

High Potential

3/4 signals

7.5

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4/4 signals

Series A Potential

3/4 signals

7.5

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QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration

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References (37)

Founder's Pitch

"QueryPlot provides an interactive platform for geologists to generate mineral prospectivity maps from natural language queries, streamlining mineral exploration efforts."

Commercial Viability Breakdown

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Why It Matters

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Disruption

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QueryPlot: Generating Geological Evidence Layers using Natural Language Queries for Mineral Exploration

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References (37)

Founder's Pitch

"QueryPlot provides an interactive platform for geologists to generate mineral prospectivity maps from natural language queries, streamlining mineral exploration efforts."

Commercial Viability Breakdown

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