FAQs - AURAsuite.ai

Frequently Asked Questions

Common Questions and Responses of aiAURA Dcap.

Are there any limitations to the files we upload?

There are no limitations for the PDFs as long as the PDFs are in the same format in one model.
Size of the image should be less than 4MB

Can I run a bunch of PDFs at a time?

Yes

Can I see what all tags/fields are creating an issue in the model?

After the training is done, we can see the average accuracy of the model including the individuals of the fields.

Can it extract the data from email and process?

Yes, this falls under the managed service type where we extract the data and perform end-to- end operation for the customer.

Common Questions and Responses of aiAURA DRisk.

Can DRisk integrate with any ERPs and other FI systems?

DRisk SaaS has 200+ connectors. DRisk can connect with any ERPs and transactional systems.

Does the product have models for online transactions?

DRisk has pre-trained models to detect anomalies in online transactions.

How pricing works?

Pricing is by the transaction. There would be a small one-time cost to create an exclusive, secured tenant to support the use case.

I do not have my data labeled with anomalies. Does DRisk handle these data sets?

DRisk can handle unlabeled data. DRisk unsupervised models are set ensembled AI methods that help to find the needle in a haystack. In some instances, we have seen up to 92% accuracy.

Common Questions and Responses of AURA Smart Eye.

Can I export annotations outside SmartEye?

Yes, In fact, SmartEye supports exporting annotations in all standard formats

Does SmartEye support Image Segmentation?

Yes, SmartEye supports Image Classification, Object Detection, and Image Segmentation

How can I export a trained model outside smarter?

There are multiple options,

Export in TensorFlow / Pytorch’s standard saved model format
Export as tf-serving docker image with HTTP/gRPC endpoints to serve.

How to add large video or images for training?

SmartEye supports three types of data integration

Direct data upload from local
Cloud/Edge storage path mount for large datasets.
Using public URL of video/Images

2nd option is helpful with large media files.

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