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| Feature | ||
|---|---|---|
| Rating |
3.9
|
3.7
|
| Reviews | 8 | 11 |
| Category | Industrial and Manufacturing | Industrial and Manufacturing |
| Description |
DeepSim is building an AI physics simulator. We are currently developing the only thermal simulator to meet AI chip design needs and are validating our tool with Intel. We are a team of three electrical engineering PhDs from Stanford with backgrounds in semiconductor fabrication and design. |
Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies. Geologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors. Ryan received a BS in Artificial Intelligence from Carnegie Mellon's School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR. |
| Website | https://www.deepsim.io | http://mineflow.ai/ |
| Positives |
"The team uses it daily. Essential for our operations."
Jaida Nicolas - 5/5
|
"Customer service is responsive and helpful."
Jaylon Hodkiewicz III - 5/5
|
| Negatives |
"Had to switch to a different solution after trying this."
Baron Hansen - 1/5
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"Overpriced for what you get. Better alternatives exist."
Mohammed Breitenberg - 1/5
|
| Details | View Full Review → | View Full Review → |
