AI Talent Platform: Redesign & Feature Expansion by DBB

CREATING AN AI-POWERED TALENT ACQUISITION PLATFORM

Learn how DBB Software helped an aspiring startup improve its existing applicant tracking system through a complete redesign, the addition of new features, and architecture expansion.

Industry

HR Platforms

Service

MVP development

Team

2 Full-Stack Developers, 1 Designer, 1 PM

Project State

July 2024 – Ongoing

Country

United States

About the Client

Our client is a startup that aims to transform the talent acquisition process through its innovative platform. The founders’ vision is to streamline hiring through the use of artificial intelligence, enhancing candidate matching.

THE CLIENT'S  INITIAL REQUEST

The startup approached DBB Software with a clear set of goals for their candidate search platform, with a focus on improving their existing solution:

Redesign the Existing Website

Transform the PoC site into a modern, user-friendly interface based on a newly approved design system.

Enhance Existing Features

Fix bugs and optimize current functionality to improve user experience.

Develop AI-Powered Features

Introduce advanced capabilities, such as AI-driven candidate filtering, ranking, and profile enrichment.

SOLUTIONS WE DELIVERED

DBB Software collaborated closely with the client to deliver a redesigned, feature-rich, and scalable ATS platform using an agile development approach.

Website Redesign

Implemented a modern front end using React, TypeScript, Next.js, and Tailwind CSS, paired with Radix UI for accessible components, ensuring an intuitive user experience.

AI-Powered Features

Integrated AWS Bedrock and OpenAI to generate dynamic filters for candidate searches, enable conversational filters, and fill missing candidate data automatically.

Optimization Focus

Post-PoC, prioritized performance optimization to enhance UX and reduce AI-related operational costs by eliminating redundant operations, streamlining backend logic, and sending only essential, pre-processed data to the AI.

RESULTS ACHIEVED

Successful MVP Launch

Transitioned from PoC to a production-ready MVP to showcase the platform to early adopters.

Enhanced User Experience

Optimized AI-driven features and intuitive UI received positive feedback from initial users for streamlining candidate searches.

Scalable Foundation

Established a robust, scalable architecture using the DBBS Pre-Built Solutions’ components to support growing user bases and future feature expansions.

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CONTACT US

"Our 10 years of expertise are embedded in our pre-built solutions, so you don’t need to start from scratch. We set everything up 50% faster.

Interested? Fill out the form and book a free consultation!”

Mina Morkos

Business Development Manager