EndorsedendorsedCompleted

Candidate Screening Redesign with AI & Audit Trails for Selective Search

Services Covered:

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

Social Networking

Duration
Duration

7 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 March 2025

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
81/100
Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited 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

Selective Search

mapChicago, United States of America

Project Summary

Acquaint Softtech rebuilt a matchmaking firm's candidate screening architecture, delivering an AI classification engine, a secure Laravel backend, and web and mobile dashboards. The solution automatically surfaces urgent profiles so matchmakers can prioritize them, cleared backlogs, improved response times, and provided full audit visibility into data access. The vendor's team was adaptable and delivered within the planned schedule.

Key Challenges

  • Develop an Intelligent Inquiry Triage Engine
  • Establish an Audit-Ready System Structure
  • Build a Premium Internal Web Portal
  • Create a Secure Mobile Companion App

Project Deliverables

  • Custom AI classification engine to parse client questionnaires and extract urgency signals
  • Secure Laravel backend with granular role-based access controls and full audit trails
  • Internal web dashboard for rapid profile evaluation and workflow routing
  • Mobile dashboard optimized for iOS and Android
  • Automated testing scripts, data isolation documentation, and deployment guides

Project Solution

Acquaint Softtech rebuilt the client's candidate screening architecture using a combination of AI and a secure Laravel backend. They implemented an intelligent pipeline that parses application questionnaires, flags urgency signals, and surfaces suggestions to matchmakers while ensuring that humans review and authorize outcomes. The team implemented immutable audit logging and granular role-based access controls, delivered an internal web dashboard and an optimized mobile dashboard (iOS and Android), and provided automated testing scripts, data isolation documentation, and deployment guides.

Project Outcome

  • Urgent profiles automatically surface to the top, preventing them from being buried in a chronological queue
  • Backlogs were cleared and response times improved
  • Management gained full visibility into every data access via backend logs
  • Demonstrated that automation can support staff judgment without replacing it

Platforms

  • WebWeb
  • MobileMobile

Tech Stack

  • LaravelLaravel
  • iOSiOS
  • AndroidAndroid

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Acquaint Softtech Private Limited delivered a solution that automatically surfaces urgent profiles, helping the client move faster without cutting corners. The system also enabled the client to clear backlogs, improve response times, and gain full visibility into data access. The team was adaptable.

Barbie Adler

Founder & President

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

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