Highlights
Slashed time-to-hire from 90 days to just four weeks
Rapid engineer onboarding boosted product launch by 300%
Cultivated hiring diversity through prioritizing non-traditional tech backgrounds
Quick Overview
Client
CloudFlow
Industry
SaaS / Enterprise Software
Country
United States
Project Size
15 senior engineering hires
Duration
4 weeks
Team Size
6 (LeoBrain specialists + CloudFlow HR & Tech Leads)
Hiring Challenges
Client’s hiring roadblocks stalled multiple product launches & drained internal resources.
- Severe talent gap hindered tech progress
- Lengthy hiring cycles left critical roles vacant
- Bias in selection ignored top-performing self-taught coders
- 30+ hours spent weekly on repetitive interviews
The Solutions We Provided
LeoBrain’s tech hiring workflow automation prioritized real skills over résumé keywords.
- AI scoring analysed coding quality beyond resumes
- Tailored assessments simulated real-world API challenges
- Ensured bias-free evaluation with role-based access
- Automated offer generation to secure top talent quickly
The Impact
Our AI ATS reimagined CloudFlow’s hiring from a bottleneck into a growth enabler:
- CloudFlow’s hiring velocity escalated by 3x
- Launched AI orchestration layer 3 months early
- Freed 1200+ engineering hours annually
- Improved team diversity with 40% of hires
| 68% | Time-to-Hire Reduction |
| 40% | Hires from Non-Traditional Backgrounds |
| 15 | Engineers Onboarded |
| 300% | Faster Product Deployment |
Conclusion
CloudFlow’s success with LeoBrain showcases how AI-powered hiring can redefine technical recruitment. By focusing on real skills over résumés, automating assessments, and accelerating offer rollouts, the company built a more diverse, high-performing engineering team — all while saving over 1,200 hours annually in manual screening and interviews.
The Real Hiring Impact
Live coding tests were so effective we use them internally for promotions.
- Alex Rivera, CloudFlow
