Echte Probleme. Echte Lösungen.
Echte Ergebnisse.
Technische Fallstudien die zeigen, wie wir produktionsreife AI- & Blockchain-Systeme für Gründer bauen, reparieren und ausliefern, die jetzt Senior-Engineering brauchen.
From Crashing Prototype to $18M Series A: Building a Production AI Call Center in 12 Weeks
Firebase prototype handling 100 calls/day → production infrastructure handling 25,000 calls/day, 99.9% uptime, and a $100M valuation.
How a Health-Tech Startup Unblocked a 60-Day AI Stall in 5 Days
Broken LangGraph orchestration, no eval pipeline, zero observability — diagnosed and shipped to 500 users in one sprint.
From $800 to $12,000/Month: Stopping a B2B SaaS LLM Cost Spiral
A structured cost audit found $9,900 in monthly LLM waste. Four engineering changes eliminated it without touching the user experience.
Real-Time Fleet OS Managing 1,000 Drivers Across 80 UK Outlets
From manual chaos to centralized control: multi-order stacking, automated payouts, and AI-powered support.
Scaling a FinTech Payment API to 10M Daily Transactions
Database bottleneck diagnosis, query optimization, and zero-downtime migration for a growing payments platform.
Emergency Fix: DeFi Protocol Losing $40K/Day to Gas Exploits
Smart contract vulnerability patched in 48 hours with 60% gas cost reduction and security hardening.
AI Support Agent Handling 80% of Tickets Without Human Escalation
Multi-agent support system with GPT-4, intent classification, and seamless human handoff for a B2B SaaS.
Multi-Warehouse Inventory Sync Across 12 Platforms in Real-Time
Event-driven inventory system eliminating overselling and syncing stock across 12 channels in under 2 seconds.
Cutting AWS Costs 58% for a Series A Startup Without Downtime
Full infrastructure audit, right-sizing, reserved instance strategy, and zero-downtime migration saving $18K/month.
Jede Fallstudie begann mit einem Diagnose-Anruf
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