EndorsedendorsedCompleted

AI-Powered Recruitment Platform for Genius Software

Services Covered:

AI and Machine LearningCustom Software DevelopmentWebsite Development
Project hero — replace with case study imagery
Industry
Industry

Software Development

Duration
Duration

5 months

Budget
Budget

Confidential

Client Size
Start Date

1 January 2025

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
81/100
Strong

Project Capability Score (PCS) estimates how capable Soft Industry Alliance Ltd. is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Genius Software

mapTallinn, Estonia

Project Summary

Soft Industry Alliance delivered a full-cycle AI recruitment service for a software development company, designing platform architecture, building NLP models for CV parsing and skills extraction, developing matching algorithms, and providing recruiter dashboards. The team integrated via secure APIs with existing HR/ATS systems and deployed a scalable microservices infrastructure on AWS. The engagement followed agile weekly sprints and produced measurable improvements in parsing speed, match accuracy, and time-to-shortlist.

Key Challenges

  • Develop an AI-powered service to accelerate IT recruitment.
  • Automate CV parsing, candidate-job matching, and recruiter workflows.
  • Implement an intuitive recruiter-facing interface and real-time analytics.
  • Seamlessly integrate with existing ATS and HR systems via secure APIs.
  • Deliver end-to-end via an outsourced development model.

Project Deliverables

  • Intelligent CV parsing and candidate ranking engine
  • Recruiter-facing web platform with real-time suggestions and dashboards
  • API integration with existing HR/ATS tools
  • Scalable, cloud-native (AWS) microservices infrastructure

Project Solution

Soft Industry Alliance assembled an outsourced development team (6–10 people) to design the platform architecture and select AI/ML approaches. They built NLP models for CV parsing and skills extraction, developed candidate-matching algorithms, created recruiter dashboards with real-time analytics, integrated via secure APIs with ATS and HR systems, and deployed a scalable microservices-based infrastructure on AWS.

Project Outcome

  • CV parsing time reduced by 70%.
  • Candidate-job match accuracy reached 55%.
  • Time-to-shortlist for recruiters dropped by 50%.
  • Smooth integration with in-house HR systems and the platform handled thousands of CVs per day without downtime.
  • Agile delivery with weekly sprints and transparent updates; features delivered on schedule.

Platforms

  • AI/ML PlatformAI/ML Platform
  • API/Integration PlatformAPI/Integration Platform
  • CloudCloud
  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Thanks to Soft Industry Alliance, the client experienced a 70% reduction in CV parsing time, a 55% increase in candidate-job match accuracy, and a 50% decrease in time-to-shortlist for recruiters. The team employed an agile approach, ensured weekly sprints, and provided transparent updates.

Sergey Lvov

CEO & Head of Delivery

Note: This endorsement is based on publicly available client feedback from external review sources.

More Projects by Soft Industry Alliance Ltd.

Completed
Software Development

AI Integration for Incode Group's Web Application

Preview of the AI Integration for Incode Group's Web Application
Budget:
50K - 199K
Duration:
7 months
Team Size:
1-5

Services Covered:

+3 more
Ongoing
Financial Services

Python Development & QA Staff Augmentation for FinTech Back-Office Platform

Preview of the Python Development & QA Staff Augmentation for FinTech Back-Office Platform
Budget:
Confidential
Duration:
65 months
Team Size:
6-10

Services Covered:

+1 more