Get In Touch
AI HiringFintech
AI Team Augmentation
Placed a team of 5 ML engineers for a fintech startup building fraud detection. Reduced hiring time from 3 months to 2 weeks.
Client
PayGuard Financial
Industry
Fintech
Duration
2 weeks to deploy, ongoing
The Challenge
What problem did they face?
PayGuard needed to build a fraud detection system urgently but couldn't find qualified ML engineers. Traditional recruiting was taking 3+ months per hire, putting their product roadmap at risk.
Our Solution
How did we solve it?
We placed a team of 5 vetted ML engineers specialized in fraud detection, anomaly detection, and real-time inference systems. The team integrated seamlessly and began contributing within the first week.
The Results
Measurable Impact
2 weeks
Time to Hire
From 3+ months
5 engineers
Team Size
Full ML team
94%
Fraud Detection Rate
Built from scratch
< 0.1%
False Positive Rate
Production-ready
“We went from zero ML capability to a production fraud detection system in under 3 months. The engineers AivoraNext provided were exactly what we needed - experienced, proactive, and integrated perfectly with our team.”
D
David Park
CEO, PayGuard Financial
Tech Stack
Technologies Used
Machine Learning
Python
TensorFlow
Real-time Inference
AWS
Get Started
Ready to Automate
Your Business?
Book a free consultation to see how Voice AI agents and workflow automation can transform your operations.