Screening for most of the Motor Skills (welding, driving, machining) is done manually as they are based on expert inspection. Companies find this manual screening and assessment process a major bottle neck due to large volume hiring. Moreover, this process is monotonous and subjective and not data intensive. Hence this is not an effective or scalable solution.

At Pradjna™, we bring specific expertise in unsupervised Motor skills assessments. With minimum impact to your simulator based or proprietary candidate data, we can do the data collection, analysis and reporting on the candidate skills for pre-assessment screening.Similarly in-career performance management processes currently have limited automation. These assessments are generally done by individual corporate based on their proprietary processes. Companies face significant bottle neck due to limited time, scarcity of expert resources and lack of objectivity. These are the key gaps that are addressed by our platform.

Also it is important to note that all major corporations world wide are moving away from bell curve based performance normalization to continuous assessments model. We believe there is a great opportunity to integrate our generic inference engine with corporate HR systems for building suitable patterns for continuous performance assessments.



Highly Customisable

Every individual is unique. So every assessment needs to reflect that unique individual characteristics without loosing the connection with common role competency framework. But it cannot be done easily in the current approach. To model the unique individual we need to capture a large number of data points. At the same time we should capture the underlying pattern and match it with suitable corporate benchmark mandated by the employer.

Platform as a service (PaaS)

Currently there are no companies in India offering automated skill evaluation based on Artificial Intelligence. Also no company offers PaS model to large corporations with their own proprietory HR and performance management processes. Our system has the advantage of being configured as a PaS and SaS service. Thus we can offer PaS service to large corporates & SaS service to smaller companies without legacy Assessment systems.

Dynamic and Evolving

All assessment models being used today are static and rigid. These are not inference based and their utility reduces with time. Our inference engine is dynamic and continuously evolving. The quality of the inference model will improve as more data flows through the system. Hence employer will get better value for money as more and more screenings are completed and the system learns from the overall context.