Introduction

The founders of Ratio approached us with a simple idea–a scalable, AI-enabled hiring platform for automating the talent acquisition process. They wanted to combine traditional ATS (Applicant Tracking System) capabilities with AI-powered features, all in one intuitive dashboard. Like, behavioral matching, skill inference, and interview automation.
Moreover, the product had to be cloud-based, GDPR-compliant, and fast to iterate. So our team worked as their extended tech arm delivering everything from concept to MVP and post-launch optimization.

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Key Features

Here’s a look at what we included in Ratio’s HR management software project to make the procedures efficient and the insights more accurate.

ai-powered candidate matching

AI-Powered Candidate Matching

The platform uses NLP and machine learning to match applicants to job descriptions based on skills and experience, along with culture fit indicators.

automated screening workflows

Automated Screening Workflows

Built customizable workflows for recruiters to filter, tag, and short-list candidates with automated scoring.

real-time collaboration tools

Real-Time Collaboration Tools

Integrated live feedback loops, comment tagging, and multi-user review boards to help recruitment teams sync seamlessly.

dashboard for hiring insights

Dashboard for Hiring Insights

Designed a performance dashboard offering metrics like average time-to-hire, conversion funnels, and source channel ROI.

interview scheduling & video recording

Interview Scheduling & Video Recording

Added calendar sync, automated reminders, and built-in one-way video interview functionality with feedback scoring.

security & compliance layer

Security & Compliance Layer

Ensured end-to-end data encryption, GDPR-safe data storage, and permission roles for different HR departments.

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Business Challenges

To turn their vision into a robust product, we assembled a cross-functional team and began with a design sprint, followed by Agile iterations. Key highlights of our approach:

  • Legacy Processes Slowed Down Hiring: Recruiters relied heavily on spreadsheets and manual CV screening. That meant prolonged hiring cycles and inconsistent evaluations.
  • Lack of Differentiation in a Crowded HR Tech Market: With many traditional ATS tools available, Ratio needed a unique value proposition built around automation, intelligence, and UX.
  • Scalability Concerns for MVP: Their in-house team lacked the expertise and bandwidth to build a secure, scalable platform with all the advanced analytics and automation features.
  • Compliance and Data Security: Operating across Europe required strict GDPR compliance and enterprise-grade access control — something their existing setup couldn’t handle.
  • Integration Complexity: Clients demanded integrations with job boards, calendar tools, and internal HR systems — all of which required robust, flexible APIs.
  • Investor Pressure on Time-to-Market: With seed funding already secured, there was high urgency to deliver an MVP quickly without compromising quality.

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Solutions

To turn their vision into a robust product, we assembled a cross-functional team and began with a design sprint, followed by Agile iterations. Key highlights of our approach:

  • Backend Development: Scalable backend with Python & Django REST Framework for a modular API-driven architecture for seamless integration and expansion.
  • Frontend Development: Developed a responsive UI using React.js and Tailwind CSS, enabling fast, consistent user experiences across devices.
  • AI-Powered Insights: Integrated OpenAI’s GPT-4 API to automate candidate summaries and skill extraction, enhancing recruiter efficiency.
  • Secure Video Processing: Leveraged Twilio Video and AWS S3 for encrypted video interviews and secure storage, ensuring data privacy.
  • CI/CD & Deployment: Automated testing and deployment via GitHub Actions, with Dockerized containers on AWS ECS for reliable, scalable hosting.

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Project in Figures

project-time

4

Month

man

400+

Estimated Man-hours

Team

4

Team Size

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Applied Technologies

Python
docker
react
rest
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More Screens

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