Streamline Hiring with AI-Powered Interviews: Stratum 9 InnerView.

Stratum 9 InnerView is an AI-driven SaaS hiring management platform that streamlines recruitment by automating routine tasks and optimizing candidate evaluation through non-biased AI. It boosts efficiency while keeping final hiring decisions in human hands for accuracy and control.

s9-innverview

OVERVIEW

Project Overview

Recruitment teams often face challenges managing large applicant pools, repetitive screening, and coordination gaps across departments. Our objective was to build a unified SaaS platform that streamlines the hiring process.

We developed Stratum 9 InnerView, an AI-powered recruitment system that streamlines job creation, resume screening, interview scheduling, and candidate evaluation on a round-to-round basis. The platform generates AI-based job descriptions, ranks candidates by skill match, and enables collaborative review and non-biased feedback through an integrated dashboard, ensuring a smooth and transparent hiring process.

Built using React.js, Node.js, and MySQL, and hosted on AWS EC2, Stratum 9 InnerView delivers the scalability, security, and accessibility of a modern SaaS product. By combining automation with human judgment, it empowers hiring teams to identify the best candidates efficiently while maintaining a non-biased oversight and accountability at every stage.

Key Features

s9-innverview

01.

Smarter Job Creation with AI-Powered Precision

Stratum 9 InnerView lets hiring teams create job descriptions in minutes through AI-assisted uploads or manual entry. The AI evaluates each JD and recommends career-based, role-specific, and culture-specific skills. Managers can refine requirements, track active roles, applications, and interviews through a unified dashboard, ensuring every job post is accurate, data-driven, and organized.

02.

AI Resume Evaluation and Effortless Interview Scheduling

The platform’s AI engine carries out a non-biased screening of resumes, ranks candidates by job role compatibility, and saves hours of manual work. Hiring managers can also view applications, archive profiles, or screen via AI from manually uploaded documents. Once candidates are shortlisted, interviews can be scheduled via integrated calendars for smooth coordination.

s9-innverview
s9-innverview

03.

Real-Time, Structured, and Insightful In-Person Interviews

During live sessions, interviewers use AI-generated, skill-based pre-interview questions. InnerView leverages non-biased AI for real-time behavioral analysis, assessing professionalism, tone, and clarity. It can detect new skills mid-conversation and instantly suggest follow-up questions through pop-up prompts. After the interview, hiring teams can share AI-generated assessments or edit questionnaires, blending structured insights with adaptive, conversational intelligence.

04.

Data-Driven Feedback and Transparent Post-Interview Scoring

Stratum 9 InnerView generates detailed, AI-backed evaluations showing job compatibility scores, interviewer details, and insights. Profiles display “Hire” or “Low Match Probability” options, scores out of 9 for traits like work ethic, strengths, gaps, and skill success probability with graphical overviews. Managers can auto-generate offer letters via StratumGPT, download reports, and track acceptance statuses seamlessly.

s9-innverview
s9-innverview

05.

One-Line Script to Convert Website Traffic into Applicants

Install a one-line S9 script on your website to instantly route job seekers into the exact role pages inside Stratum 9 InnerView. Automate applicant capture, reduce drop-offs, and ensure every candidate enters your structured, AI-driven evaluation pipeline seamlessly.

06.

Consent-Based Ethical Recording with Dual-Sided AI Feedback

Stratum 9 InnerView requires candidates to provide explicit recording consent before any interview begins, ensuring ethical data use. Once the session ends, the platform generates structured, non-biased AI insights and shares them with the interviewer. This creates transparent evaluation, clarifies decision rationale, and supports continuous skill improvement for both sides.

s9-innverview

Features at a Glance

  • trumanAI-Powered Job Description Creation

    trumanSkill-Based Pre-Interview Question Generator

    trumanAI Resume Screening and ATS Score

    trumanIntegrated Online and In-person Interviews

    trumanBehavioral Analysis Engine

    trumanDynamic Follow-Up Question Prompts

    trumanComprehensive Candidate Feedback Dashboard

    trumanAI-Backed Scoring and Compatibility Insights

    trumanGraphical Skill Overview and Reports

    trumanRole-Based Access and Permissions Control

    trumanAudit Trails and Performance Analytics

Connect with Us

Challenges and Solutions

Here are some challenges that our team encountered while working on the project:

1. Integrating Online Interview Platform with Internal Tool

Challenges

Ensuring seamless integration between the online interview system and Stratum 9’s internal ecosystem was challenging. We needed to synchronize candidate data, interviewer questions, follow-up prompts, scheduling, video links, and transcripts while maintaining a smooth UI/UX and secure identity management.

SOLUTIONS

We integrated the online interview platform with S9's ecosystem, enabling secure data transfer and synchronized transcript tracking on both candidate and interviewer sides. The team ensured flawless identity management, smooth UI/UX flow, and reliable scheduling, creating a seamless experience across the platform.

2. Optimizing Tools for Behavioral Analysis

Challenges

Integrating behavioral and non-verbal analytics with tools presented challenges in data source identification, privacy, and consent management, especially for recording video and audio during live interviews, while ensuring alignment with transcripts and interview timing.

SOLUTIONS

Following a POC, the team adopted an AI framework for facial expression and sentiment analysis. They addressed latency and synchronization issues, ensuring behavioral data accurately aligned with transcripts and timing. Data privacy and consent were strictly managed, enabling real-time, reliable insights without disrupting the candidate or interviewer's experience.

Technology Stack

ReactJS

Chosen to build a responsive, intuitive, and dynamic web interface for HR admins, hiring managers, and candidates, ensuring a seamless experience across browsers and devices.

Node.JS

Powers backend services for fast, scalable, and reliable handling of candidate data, resume processing, interview scheduling, and real-time AI interactions.

MySQL

Ensures organized, secure storage of user profiles, job postings, resumes, interview data, and scoring, supporting complex queries and efficient access to information.

AWS EC2

Provides scalable and secure cloud infrastructure, enabling low-latency performance, high availability, and seamless integration of AI-driven features such as resume analysis, behavioral evaluation, and StratumGPT-powered offer generation.

We’ve solved complex hiring challenges using ethical AI, behavioral insights, and enterprise-grade SaaS architecture.

Do you need a custom AI-driven recruitment platform?

Experienced builders are at your service.
Talk to Us!

Similar Projects

dr-hr

DrHR – AI-Powered HRMS Redefining Workforce Management
stratum-9

Stratum 9: A Performance Improvement Platform for Personal Growth
nextlpc

Make Learning More Interesting: Meet AI Therapy Tutors
lazify

Transforming Insurance Training with AI: Meet George AI