TECHNOLOGY
Understanding the power of AI in recruitment
How we deliver fair hiring
Tools to eliminate human biases from recruitment
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Chatbot
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Analytics dashboard
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Answering candidates
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Manage workflows
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Candidate dashboard
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Content catalogue
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Hiding biasing info
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Rating candidate answers
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Candidate profile
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Universal search
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1. Easily create fully or partially automated workflows with multiple sections.
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2. Include third party or built-in skill assessments.
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3. Add employer branding modules and configure resume scoring, pre-screening, scoring, and manual approval stages.
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Gives the recruiter a detailed view of the ongoing hiring process which includes the unbiased hiring score, drop off rate, applicants per stage, and much more.
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The chatbot continues to show an impressive accuracy rate for most of the candidate queries, which contributes to a superior candidate experience.
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The Manage Workflow Dashboard provides the recruiter with a systematic display of the candidates in their ongoing recruitment stages.
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By displaying the various stages of their application process, the Candidate Dashboard makes the entire process transparent and reliable for the candidate.
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The platform consists of a curated list of assessments, screening questions, and other content necessary for you to get started. These lists are based on proven research and industry knowledge.
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The AI platform promotes diversity by hiding all biasing information and focuses on accurate hiring. It does so by highlighting the information needed for making the right decision.
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Making assessments is a hassle-free process on the platform- it allows the recruiter to manage the candidates and easily review their answers.
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The Candidate Profile is a summarized version of important information gathered from their resumes and other data submitted as part of application process. This feature makes it easier to get a fair idea about the candidate.
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The platform makes it possible to search for any candidate across any requisitions. It allows you to get all the necessary information like the resume, their answers to questions, their profiles, etc. in a matter of seconds.
For Recruiters
Machine Learning
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Efficient development
Online learning models evolve autonomously as they are used and save months on training a system.
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New upgrades
PhD-holding founders and in-house data scientists choose and implement machine learning models that are constantly updated.
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Effective communication
It includes language specific ML models as well as online translation tools.
Enhanced Recruiter Experience
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Coherent operations
Ensures seamless integrations with existing HR tech-stack.
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Easy service
It's a self-service platform designed to enable smooth collaboration within recruiter teams.
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Reliable data
Delivers robust dashboards and analytics.
For the Candidate
Natural Language Processing
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Futuristic models
impress.ai's deep learning based models result in a smooth interview experience.
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Personalised interactions
Proprietary complex State Management and contextual awareness allows the conversation for each candidate to be hyper-personalised.
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Intelligent designs
Technology is presented to drive better candidate experience- IO psychology inspires the design of the product and incorporation of AI through NLP.
AI + UX
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Outcome v/s Metrics
impress.ai presents AI to drive better outcomes and not intimidate via vanity metrics. The end goal is about pushing for better results through AI+UX.
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Enables Transparency
It gives insights into how decisions are being made and what is causing the AI to do certain things rather than using them as buzzwords.
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Smart usage
The effectiveness of machine learning models and AI is in how you use them. The good thing about having our in-house PhDs and scientific team is that we don't take shortcuts like using Google Translate for translation.
For the Organisation
Unbiased Hiring
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Hiding irrelevant information
To view potentially biasing information before shortlisting candidates requires the company to disable a filter. Shortlisting that’s done without the bias filter is audited and brought to the attention of senior management.
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Organised information
impress.ai platform categorises and structures candidate applications into smaller pieces that can be tagged, reviewed, and analysed individually.
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Tests and trials
We administer proactive testing and virtual signaling experiments to prove effectiveness in unbiased hiring.
Diversity and Inclusion
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Achieving diversity goals
Organisations which have identified problems with diversity in hiring, have the option to request certain data from applicants during the Chatbot interview.
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Self identification
The platform allows applicants to self-identify their Nationality, Disability, or other requirements during the Chatbot screening & interview.
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Structured screening
By having a structured screening tool in place, you are ensuring that all applicants are being screened to the exact same criteria, thus ensuring a fair evaluation.