Moscow

Friday

personnel

chatbots

MyGig

Platform for search and management of temporary staff

HR-Tech

ZeroCoder

development

EdTech

Zerocoder

Bruno

Emplay

Emplay.ai 

Leroy_Merlin

cloud_service

Platformeco

RoboJobs

Search service for specialists in robotics

robotics

Staff_and_Teams

Staff&Teams

Gazprombank

Platform for digital management products development and operation

Knowledge Space

Cerevrum system can help companies with high staff turnover to adapt new employees, develop&nbsp; their communication, sales skills and increase the efficiency of coaches and mentors.

Learning with Cerevrum is completely data-driven: voice recognition, word analytics, time measurement, eye tracking, learning progress analysis, engaged and behavioral feedback, flexible realtime dialogues, the ability to integrate with any type of LMS, advanced analytics and statistics, the ability to complete&nbsp;sessions in VR / WEB / mobile.

Learning system to improve skills using virtual and augmented reality (VR/AR)

machine_learning

Cerevrum

Potok

The system allows &nbsp;to attract the best candidates (response &nbsp; through a published vacancy on social networks, career site), organize the process of working with them (correspondence, appointment of meetings, integration with calendar), as well as involve colleagues in making common decisions.&nbsp;&nbsp;

Potok.io includes AI-based extension <a href="https://ict.moscow/card/sever-ai/" target="_blank">Sever.ai</a>, that allows to determine whether the candidate is suitable for the company with an accuracy of up to 92% and relieves the recruiter from routine functions.

The extension helps an HR specialist to process large amounts of information, save time, and increase conversion. A recruiter can invite a candidate to an interview without waiting for agreement with the line manager of the potential staff member, as the AI evaluates the candidate’s suitability for the position in advance. The solution also helps to choose from several candidates.

The neural network model evaluates the information on the data labeling predefined by 150 professional recruiters. Input data for the neural network is a job description. It is then trained at all available vacancy bases. After training, it marks the candidates' resume - makes an assessment of the suitability of the vacancy.

recruiting

artificial_intelligence

potok

ICT.Moscow  — Tech Solutions