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Mineflow (YC S24)

Mineflow (YC S24)

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Mineflow (YC S24)
Featured

What is Mineflow (YC S24)?

Mineflow is an AI-powered platform revolutionizing mineral exploration by transforming site data into highly accurate predictions of mineral deposits. Utilizing advanced neural networks, Mineflow generates 2D prospectivity maps and 3D block models, enabling geological teams to visualize and understand the composition and structure of underground minerals more effectively. The platform supports integration with various data formats and aids exploration teams in making data-driven decisions, ultimately enhancing the efficiency and accuracy of mineral exploration projects.

Who will use Mineflow (YC S24)?

  • Mining companies
  • Geological survey teams
  • Exploration managers
  • Data scientists in mining

How to use the Mineflow (YC S24)?

  • Step1: Go to the datasets section of the Portal and press 'New Dataset'.
  • Step2: Select and upload any shapefile or Excel file related to the exploration site.
  • Step3: Assign designations and classes to each file to classify the data.
  • Step4: Mineflow team trains the predictive model on your dataset.
  • Step5: Once the model is trained, navigate to the Portal to see your new project.
  • Step6: Select the area of interest and generate predictions.
  • Step7: View and manipulate 2D prospectivity maps and 3D block models.

Platform

  • web

Mineflow (YC S24)'s Core Features & Benefits

The Core Features

  • 2D prospectivity mapping
  • 3D block modeling
  • Automated data organization
  • Custom prediction models
  • Data export to Leapfrog, Surpac

The Benefits

  • Highly accurate mineral predictions
  • Enhanced decision making
  • Efficient data management
  • Cross-site learning
  • Advanced pattern recognition

Mineflow (YC S24)'s Main Use Cases & Applications

  • Early-stage exploration
  • Drill visualization
  • Mineral deposit prediction
  • Geological survey data analysis

Mineflow (YC S24)'s Pros & Cons

The Pros

Utilizes AI to provide accurate 3D and 2D mineral deposit models.
Helps improve the precision of mineral exploration activities.
Visual and interactive resource modeling increases usability.
Potentially reduces costs and risks in mineral exploration.

The Cons

No information available about open-source availability or community support.
Pricing details not transparent beyond the main website.
Limited information about compatibility with other mining software or platforms.

Mineflow (YC S24)'s Pricing

Has free planYES
Free trial details
Pricing modelFreemium
Is credit card requiredNo
Paid from125 USD
Has lifetime planNo
Billing frequencyMonthly

Details of Pricing Plan

Mineflow

0 USD
  • 50GB storage
  • 3D & cross-section drill visualization
  • Automated project organization
  • Team data sharing

Mineflow Plus

125 USD
  • Everything in Free tier
  • 100GB storage
  • Mineflow estimator models (Inverse Distance Weighting, Kriging, etc.)
  • Export to standard formats (.shp, .kmz, .tiff, etc.) and to major geological modeling software (Surpac, Datamine, Leapfrog, etc.)

Mineflow Pro

Custom USD
  • Everything in Plus tier
  • 1TB storage
  • Custom deep learning prediction models
  • Early access to new research
  • 24/7 customer support
For the latest prices, please visit: https://mineflow.ai

FAQs of Mineflow (YC S24)

Mineflow (YC S24) Company Information

Analytic of Mineflow (YC S24)

Visit Over Time

Monthly Visits
303
Avg Visit Duration
00:00:00
Page Per Visit
1.00
Bounce Rate
82.29%
Aug 2025 - Oct 2025 All Traffic

Geography

Top 1 Regions
United States
100%
Aug 2025 - Oct 2025 Worldwide Desktop Only

Traffic Sources

Direct
41.72%
Search
32.88%
Referrals
12.78%
Social
9.90%
Paid Referrals
1.64%
Mail
0.20%
Aug 2025 - Oct 2025 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
mineflow220 $ --
mainflow yc200 $ --
minefoundation documentation20 $ --
headquarter full address of "mineflow.ai"0 $ --

Mineflow (YC S24) Reviews

5/5
Do You Recommend Mineflow (YC S24)? Leave a Comment Below!

Mineflow (YC S24)'s Main Competitors and alternatives?

  • Radial Basis Function estimators
  • Inverse Distance estimators
  • Wireframing techniques
  • Kriging

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