We're being very careful not to grow faster than revenues. Multinationals that may have 250,000 employees typically receive 250,000 resumes a year, Arora said, and they need to go through the process of filling some 40,000 jobs a year. Till Liquid Engine developed its prototype, the problem companies faced when automating such a process was no technology could filter data that had such fuzzy criteria. Companies have to put a lot of people on the job. And the neat thing is this is not a rigid model.
Companies can put in their own criteria and can have hundreds of criteria.
Liquid Engines IXE2000 can reduce average hiring time from 58 days to 7 days, just to the time required for interviews, Arora maintained. It can be applied to other processes such as in raw materials and manufacturing space since these decisions have numerous criteria and normal models cannot deal with them. Currently, her company has two in Beta clients and two in the pilot stage. We add value to the 'process' side of companies. Arora likes to play the drums but has no time nowadays to indulge her talent.