Outcomes we can stand behind.

Aura Logistics operated three warehouses across the region with entirely manual processes. A four-person team spent 60% of their labor hours on physical inventory counts, cycle tracking, and order picking workflows that hadn't changed in a decade. The fulfillment cycle averaged 12 hours per order, and stockout rates hovered around 15% — burning margin and eroding customer trust.

We deployed a self-hosted JH Engine cluster with custom workflow nodes built specifically for Aura's warehouse topology. Real-time inventory synchronization now runs across all three facilities via WebSocket-fed dashboards. A custom ML demand forecasting model — trained on 18 months of historical order data — predicts stock depletion 72 hours in advance. Exception routing automatically escalates anomalies to the operations lead.

A cross-border payments startup needed a SOC 2 compliant mobile application — iOS and Android — within 90 days to hit their Series B fundraising timeline. Their legacy PHP backend suffered from 800ms p95 latency, had zero compliance framework, and relied on manual KYC verification that took 48 hours per user. No design system existed; every screen was bespoke.

We shipped a React Native application with a hardened Node.js backend, designed for sub-200ms p95 latency from day one. The architecture enforced SOC 2 alignment with encrypted data handling, audit logging, and automated KYC via document verification APIs. A shared design system — built in parallel with the app — gave their team a component library that scaled into Series B product iteration.

GlobalMart processed 50,000 daily orders through a Shopify storefront, but fraud detection was entirely manual — a three-person review team manually flagging suspicious transactions. The chargeback rate sat at 8%, costing the business millions annually. First-response time for customer inquiries averaged 4 hours, and the team had no automated routing or escalation paths.

We built a JH Engine order automation pipeline with AI-powered fraud scoring at the edge. Every incoming order is evaluated by a GPT-4o-backed model trained on historical chargeback patterns — scoring risk in under 200ms before payment settlement. Automated routing sends flagged orders to a review queue while clearing low-risk transactions instantly. Real-time Slack notifications keep the ops team in the loop without manual monitoring.