Vortex AI
Complex machine learning models were siloed, making real-time personalization impossible across platforms.
Timeline
4 Months
Core Impact
2M+ Daily Users Served
Category
AI / Platform Engineering
Unifying Intelligence at Scale
Vortex AI had built powerful ML models — recommendation engines, churn predictors, anomaly detectors — but each lived in a separate microservice with its own data contract. Connecting them to product surfaces required custom integration work for every feature request.
We designed a unified inference gateway: a single API surface that aggregated, versioned, and load-balanced across all models. Engineers went from spending 3 weeks on integrations to 3 hours.
The Engine Room
Built by PeakByt
2M+ Daily Users Served
The PeakByt Result
Engineering excellence measured in performance, adoption, and impact.
2M+
Daily Active Users
Real-time personalization now served across every product surface simultaneously.
12×
Faster Integration
New model integrations reduced from 3 weeks to less than 3 hours.
99.97%
Uptime SLA
Unified gateway maintained near-perfect availability across 6 months of production.
Next Case Study
Omni Logistics
Logistics / Optimization
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