case studies
Case Study 1: Central Business Solutions INC.
Central Business Solutions, Inc. (CBS) is a trusted provider of niche business solutions and services, helping organizations worldwide—from startups to Fortune 500 companies—achieve their goals since 2000.
Two of their products use Leap’s APIs
- SkillExam – Provides personalized online skill assessments with high precision, helping organizations streamline evaluations, save time, and eliminate hiring surprises before in-person interviews.
- Job-360 – Job-360 is a smart hiring platform that connects employers with trusted recruiters, ensuring only the best-matched candidates are submitted—saving time, reducing hiring costs, and rewarding recruiters instantly.
The key features where Leap provides invaluable data for both the products can be summarized as below:
- Candidates are evaluated against job descriptions, ensuring a precise match for hiring needs in SkillExam and Job-360.
- Professional and social background data is analyzed to provide deeper insights for informed hiring decisions.
- Gaps between required job skills and candidate qualifications are detected, enabling better hiring and training strategies.
- A quantified match percentage is generated, allowing employers to quickly assess candidate suitability.
- Objective assessments are provided to help identify training and development opportunities for employees.
Case Study 2: IndoAI Technologies Pvt. Ltd.
IndoAI develops advanced edge AI smart cameras that process data locally, enabling real-time analytics for security, visitor management, fire detection, and more across industries like healthcare, education, and manufacturing. As a rapidly growing company with highly technical hiring needs, IndoAI required a streamlined and efficient recruitment process to identify top talent quickly and improve offer acceptance rates.
Challenges:
- Overwhelmed Hiring Managers – Needed a shortlist of high-quality candidates they could confidently move forward with for live interviews.
- High Volume of Technical Resumes – Recruiters struggled to filter through large sets of applications due to the complex technical requirements of AI-driven roles.
- Offer Acceptance Challenges – Candidates often declined offers after completing the interview process, leading to wasted time and resources.
- Attracting the Right Talent – Job descriptions were not always aligned with industry standards, leading to mismatched applicants and longer hiring cycles.
Solution: Leap Supreme’s AI-Powered Hiring Platform
Leap Supreme provided IndoAI with an intelligent hiring solution, offering:
- AI-Powered Candidate Ranking – Dynamically evaluates skills, experience, and cultural fit, ensuring only top-matching candidates are shortlisted.
- Smart Agent Interface – Uses AI-driven assistance to help recruiters efficiently filter through large resume pools and focus only on qualified candidates.
- Data-Driven Candidate Insights – Analyzes candidate behavior and history, providing a joining likelihood metric that helps IndoAI prioritize candidates most likely to accept offers.
- Optimized Job Descriptions – AI refines job postings, ensuring clear, targeted descriptions that attract highly qualified candidates.
Results:
- 10X improvement in screening efficiency, enabling faster hiring cycles with AI-shortlisted, interview-ready candidates.
- Recruiters saved significant time by focusing only on highly relevant applications.
- Improved offer acceptance rates, reducing last-minute dropouts and hiring delays.
- Higher quality applicants due to optimized job descriptions.
By leveraging Leap Supreme, IndoAI successfully streamlined its hiring process, allowing its team to focus on scaling AI innovations with top-tier talent while minimizing hiring uncertainties.