eGrabber Hiring Prospector (resumegrabber) vs. Rchilli

[eGrabber Hiring Prospector (resumegrabber)] a great tool to speed up your processing time when you are uploading resumes. It allows for [seamless] transitioning for sourcing to calling but the caveat is sometimes the formatting can be wonky on a resume and you need someone to manual check each batch of resumes you source. The great thing is is work of a wide array of formats[.]

Incentivized

This is a great tool if you need to imbed the functionality (as we have done). Perhaps not a well suited to standalone use.

• Makes process faster
• Breaks apart information 90% accurate

Incentivized

• Parsing of Candidate Resumes with good accuracy
• Around 70 to 80 different Candidate Fields
• Supports Individual, Bulk Online and Offline Parsing

• 10% of the time info in wrong places

Incentivized

• So far, we have nothing to complain about.

These products are pretty similar exception being that [eGrabber Hriring Prospector (resumegrabber)] allows for a much wider array of applications. Daxtra's algorithm is better, but [eGrabber Hiring Prospector (resumegrabbber)] can be used in more places. The failure rate is about the same in all three of these products, and the cost varies greatly because there are some many al la carte options[.]

Incentivized

We recently evaluated Azure Cognitive AI Services. It was not economical and we were asked to partner with another partner of Microsoft for specific Resume Parsing Services. Looking at the cost benefits, efficiency of parsing and ease of use of RChilli, we decided to continue with our very good partner RChilli

• It saves us a few hundred a week in manual processing time a reduces human error

Incentivized

• Using Rchilli saved us thousands of dollars in development costs and avoided on-going maintenance.
• Using their taxonomy's means we don't have to maintain our own, saving us time and subscription costs.