From Stalled to Stellar
PayStream AI
The Challenge
PayStream's AI-powered fraud detection system was burning $40K/month in cloud costs while generating excessive false positives. After 18 months of development, the system was still in 'perpetual beta' with no clear path to production. The founding team was considering shutting down.
Our Solution
Our Deep Dive Triage revealed critical issues: the model architecture was fundamentally sound, but data preprocessing was flawed and the inference pipeline was massively over-engineered. We provided a detailed Fix roadmap focusing on data quality improvements and infrastructure simplification. Post-triage acceleration included LLM reengineering using modern RAG techniques and cost-optimized deployment.
Results & Impact
73% reduction in cloud infrastructure costs
89% decrease in false positive rates
Production deployment achieved in 6 weeks
Series A funding secured at $12M valuation
Processing 2M+ transactions monthly
"Ding Ventures saved our company. Their triage was brutally honest—they told us exactly what was broken and gave us a clear path to fix it. Six weeks later, we were in production. Three months after that, we closed our Series A."
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