PerceptiLabs has developed a next-generation ML tool with our visual modeler that took the best of all worlds - the flexibility of code, some automation in to connect components, generate model architectures as well as tune settings and hyperparameters, combined with the ease of a drag and drop UI. This makes model building easier, faster, and accessible to more users, whether you are an expert or beginner.
We designed our tool as a visual API on top of TensorFlow, which has grown to become the most popular ML framework. This gives developers full access to the low-level TensorFlow API and the freedom to pull in other Python modules.
Most importantly, users have full transparency into how their model is architected and a view into how their model performs. You drag and drop components; we’ll generate the visualizations and TensorFlow code for you. That’s machine learning at warp speed with PerceptiLabs.
Location: United States, California, San Francisco
Member count: 11-50
Total raised: $2M
Founded date: 2017
Investors 3
Funding Rounds 1
| Date | Series | Amount | Investors | Deal News |
| - | - | $2M | - | brightlyve... |
Mentions in press and media 2
| Date | Title | Description | Category | Author | Source |
| 06.10.2020 | Getting in... | Presented by Perceptilabs Did... | - | Martin Isa... | venturebea... |
| - | PerceptiLa... | PerceptiLabs raises $2M to mak... | - | - | brightlyve... |