Businesses rely on human data capture, customization, and quality assurance. We can reduce or eliminate the human component and get your data processed 20X faster*, with higher accuracy, and at a lower cost.
We automate the collection of both digital and paper documents from popular, online document storage providers and mobile applications.
We use cutting-edge optical character recognition (OCR) to extract data from your unstructured documents and convert them to digital information you can use.
We apply Natural Language Processing (NLP) models to intelligently recognize and collect the data you need and structure it in the format you need it.
We provide tools to help you quickly clean up and make sense of your data either automatically or manually.
Your custom ML model can categorize your collected data among your own custom categories with little to no human interaction.
Your team validates the data's accuracy using our proprietary, simple, and intuitive process that is fast and easy to use. Once data is validated it can then be used to further train your customized ML models.
Your cleaned-up data is prepared and formatted for quick export into other applications you use or straight into your data pipeline.
Once you are comfortable with your model's accuracy, you can remove the human component to fully automate your process.
Here at Zerapix, we use machine-learning models, artificial intelligence, and automated workflow management to help companies automate their business processes. In short, we allow you to do all the stuff that you used to rely on employee inputs for at fraction of the cost and 20 times* faster.