We're building an AI model test platform for AI companies to safely validate models before deploying them. We leverage our global community of people to test models and find biases, which makes the entire process 10x more efficient. The AI industry is hitting the plateau. It's because the hardest part of building AI is dealing with uncommon situations i.e. edge cases. The better your model is, the harder it is to find robust data sets of novel edge cases. The industry is responding to this problem by throwing even more data at models. But the models need diverse, novel data to improve. We differ by directly providing this high-value data.

Traditionally, AI companies have focused on building the best model given with a dataset, but Bobidi does the exact opposite: Build the best dataset given an AI model. We took this unorthodox path because we know the data is much more important than the network when it comes to radically improve the model performance. Dynamic Unit Value: Not every dataset is created equal. It's because similar data will have diminishing value as the model is trained. Bobidi builds the technology to dynamically calculate the unit value of each data point our community collects, which will fundamentally change how the entire industry evaluates and uses the AI datasets.