Parashift built a software with artificial intelligence to handle documents. Unlike its competitors, Parashift offers 100% correct extraction of data from paper documents. Further, they shifting paradigm how documents are handled in future. After 2 years of science basic research with PhD in mathematics, Engineers etc. they launched this year their platform.
Today, many companies are still processing most of their daily document inflow manually. This is not only very time consuming and expensive, but not necessary any-more. Parashift provides companies sophisticated solutions based on machine learning technologies for their individual needs. Empowered by these technologies, companies benefit from time and cost reduction by up to 80% related to document management processes. In the process of getting product-market fit, Parashift has built a proprietary artificial intelligence data extraction engine that enables customers to send random, unprepared receipts and invoices to a developed platform which then undergoes a quality enhancement before the engine makes document classifications and full data extractions with implemented confidence checks. Customers then have the optionality to do either a self-validation process on low confidence documents or make us of Parashift’s offer to validate GDPR compliant results, using a combination of technological and human measures.
Based on our record, Followup.cc seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'll update this if I find more. For now, this seems to be a partial solution. It's a Gmail add on (except I don't use Gmail) that adds reminders. The options when setting reminders include cancelling it if someone replies, and to remind everyone in the thread. If you combine those two, it seems like — if you use Gmail's web client and have $23/month you're dying to get rid of — a decent way to add the feature. Source: over 1 year ago
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