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The most significant Hyperscience value is structured data extraction. We are seeing high accuracy and a high level of automation - especially with fine-tuned production models.
The second thing I like is the speed of mapping each field and the simplicity of adding new structured documents. Only one blank sample is required to add it to the library of documents. Review collected by and hosted on G2.com.
Semi-structured extraction is not as smooth as Structured due to the required involvement of humans in multiple steps. The machine often needs help with the Field classification step and Transcription - this leads to stopping the extraction process in two parts.
The second thing is that training in Semi-structured extraction requires a minimum of 400 samples that are not easy to get. This takes time and makes the implementation slower than they are anticipating.
Finally, but most important - no AI Features are available. They are falling back compared to similar IDP tools on the market. Review collected by and hosted on G2.com.
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