---
title: "Fallstudien"
canonical: https://wavect.io/de/case-studies/
language: de
description: "20 Fallstudien zu individueller Softwareentwicklung aus 75+ ausgelieferten Produkten: KI, Web3, Web und Mobile, mit echten Budgets und echten Ergebnissen."
image: "https://wavect.io/img/general/bak/open_graph_preview.jpg"
---

Ausgewählte Fallstudien

FALLSTUDIEN

# Ausgewählte Projekte

Eine Auswahl unserer individuellen Softwareentwicklung: 75+ Produkte seit 2018 ausgeliefert, jedes in Produktion. Das sind die, die wir öffentlich zeigen können, nicht die ganze Liste. Nach Domäne filtern oder eines öffnen und sehen, wie wir dahin kamen.

Du suchst Referenzen nach Käuferkontext? [Projekte nach Branche ansehen](/de/industries/).

### [Twinsoft AI](/de/case-studies/twinsoft-ai/)
- **Status:** Live
- **Outcome:** 2 Wochen - Zum verkaufbaren MVP
- **Summary:** Vibe-coded Prototyp auf enterprise-pilotbereit gebracht. Keine Abkürzungen.
- **Stack:** Python / Flask, LLMs, Terraform

### [Hyperstate AI](/de/case-studies/hyperstate-ai/)
- **Status:** Eingestellt
- **Outcome:** GPU-Monolith - → Microservices
- **Summary:** GPU-lastigen Monolithen in orchestrierte Services zerlegt und selbst gehostete ML-Bibliotheken durch skalierbare Alternativen …
- **Stack:** Python / Django, OpenAI API, Neo4j

### [PromptID](/de/case-studies/promptid/)
- **Status:** Live
- **Outcome:** 6 Wochen - Von 0 zu Produktion
- **Summary:** AI-native Assessment-Plattform, von 0 auf Produktion in 6 Wochen unter komprimiertem Marktdruck.
- **Stack:** NestJS, NextJS, LangChain

### [LivLive](/de/case-studies/livlive/)
- **Status:** Live
- **Outcome:** +1.000 - Gleichzeitige Nutzer
- **Summary:** AR-RWA-Plattform: 2 Mio. $+ über das Produkt eingenommen, 1.000+ gleichzeitige Nutzer, sechs Wochen flat.
- **Stack:** Solidity, Typescript, React

### [Anleihen-Analytics-Plattform](/de/case-studies/bond-analytics/)
- **Status:** Live
- **Outcome:** 2 Monate - Von 0 zu Enterprise
- **Summary:** Institutionelle Anleihen-Analyseplattform, Null zu enterprise-tauglich in 2 Monaten; mehrere Runden eingeworben.
- **Stack:** NestJS, React, Typescript

### [Polity](/de/case-studies/polity/)
- **Status:** Live
- **Outcome:** 7 Services - Vereinheitlichtes Testen
- **Summary:** 1,5 Jahre QA-Eigentümerschaft über sieben Services und mehrere Vendoren. Qualität blieb durch jeden Refactor lieferbar.
- **Stack:** React, Java/Kotlin, Go

### [Scramble Pay](/de/case-studies/scramble-pay/)
- **Status:** Live
- **Outcome:** 2 Monate - Von Konzept zu Pilot-Ready
- **Summary:** PoS + Web-Krypto-Checkout, Multi-Chain, wallet-agnostisch. Pilot-ready zur Merchant-Integration in 2 Monaten.
- **Stack:** React, Typescript, NestJS

### [Scramble Wallet](/de/case-studies/scramble-wallet/)
- **Status:** Live
- **Outcome:** 50+ - Zielaltersgruppe
- **Summary:** Browserübergreifende Extension, Tron ergänzt, iOS + Android über mehrere Wege, aufgebaut auf einem Enkrypt-Fork, Schulden Release …
- **Stack:** VueJS, Typescript, NestJS

### [LightBridge](/de/case-studies/lightbridge/)
- **Status:** Live
- **Outcome:** 6 Chains - Netzwerkunterstützung
- **Summary:** Bobas offizielles LightBridge gemeinsam mit deren Team gebaut: 6-Chain-Sofort-Transfers, $1M+ in Produktion gesichert.
- **Stack:** Typescript, Python, GraphQL

### [Account Abstraction](/de/case-studies/account-abstraction/)
- **Status:** Live
- **Outcome:** 3 SDKs - Backend · Contract · Frontend
- **Summary:** Drei-Schichten-Hybrid-Compute-SDK-Suite (Backend, Contract, Frontend), gemeinsam mit Bobas Team gegen undokumentierte Infra …
- **Stack:** Typescript, Solidity, Hardhat

### [MetaMask Snap](/de/case-studies/metamask-snap/)
- **Status:** Live
- **Outcome:** MetaMask - Native Integration
- **Summary:** Smart Wallets mit Hybrid Compute, in der Wallet, der Nutzer bereits vertrauen. Gemeinsam mit Bobas Team gegen MetaMasks …
- **Stack:** Typescript, MetaMask Snaps, Solidity

### [Quivr](/de/case-studies/quivr/)
- **Status:** Eingestellt
- **Outcome:** Tag 1 - Engagement-Start
- **Summary:** On-Chain-Fan-Identitäts-Protokoll vom Konzept zu zwei Chains. Tech überlebte; der Runway des Startups nicht.
- **Stack:** Typescript, Flutter, React

### [FTW Ventures](/de/case-studies/ftw-ventures/)
- **Status:** Eingestellt
- **Outcome:** NFT Mint - Geliefert
- **Summary:** Stockenden NFT-Mint gerettet, fertiggestellt und ein CMS übergeben, damit nicht-technisches Personal ohne uns ausliefern konnte.
- **Stack:** Typescript, React, Solidity

### [ZybraMoney](/de/case-studies/zybra-money/)
- **Status:** Live
- **Outcome:** Wöchentlich - Release-Gates gehalten
- **Summary:** QA-Governance durch einen Umbau mit hoher Veränderungsrate: Release-Sicherheit wöchentlich gehalten, Hunderte Defekte geschlossen.
- **Stack:** Node.js, Typescript, PostgreSQL

### [Afoma](/de/case-studies/afoma/)
- **Status:** Live
- **Outcome:** Web3 Social Login - Live in Produktion
- **Summary:** Live-Marketplace, On-Chain-Primitive, kein Krypto-Jargon: Social Login + unsichtbare Wallet-Erstellung.
- **Stack:** Typescript, Solidity, Ethers.js

### [Soundromeda](/de/case-studies/soundromeda/)
- **Status:** Live
- **Outcome:** Produktion - Vibe-Coded → gehärtet
- **Summary:** QA-geführtes Härten brachte einen Vibe-Coded-Game-Prototypen in einen Zustand, den Förderkommissionen unterstützten.

### [SKD Dresden](/de/case-studies/skd-dresden/)
- **Status:** Live
- **Outcome:** Mehrere - Workshops: Schulung, Technik, Strategie
- **Summary:** Web3-Schulungen, Technik- und Strategie-Workshops plus Consulting-Sessions über zwei Jahre für ein großes Museumsnetzwerk. Kein …

### [Offlinery](/de/case-studies/offlinery/)
- **Status:** Eingestellt
- **Outcome:** Echtzeit - Proprietäre Matching-Engine
- **Summary:** Proprietäres Echtzeit-Proximity-Matching auf iOS/Android gegen aggressives OS-Throttling. Full Stack.
- **Stack:** React Native / Expo, NestJS, TypeORM

### [MyMerch](/de/case-studies/mymerch/)
- **Status:** Live
- **Outcome:** ~50% - Effizienzgewinn (laut Kunde)
- **Summary:** ~50% Effizienzgewinn (laut Kunde). Auslieferungsfehler reduziert, Shopify-Conversion gesteigert. Kein Rewrite.
- **Stack:** Shopify, Shopify Liquid, JavaScript

### [IKB](/de/case-studies/ikb/)
- **Status:** Live
- **Outcome:** Komplett - Plattformübergabe
- **Summary:** Smart-City-IoT für Innsbruck: LoRaWAN-Infrastruktur erweitert und skaliert, Multi-Vendor-Geräte evaluiert und integriert, die …
- **Stack:** Kubernetes, LoRaWAN, Docker

## FAQs

Klare Antworten zu den Projekten oben

### Wie lange dauert es, bis Wavect ein MVP baut?

Zwei bis sechs Wochen für die meisten Builds, je nach Scope. Twinsoft AI ging vom vibe-coded Prototypen zu enterprise-pilot-tauglich in 2 Wochen. PromptID lieferte von null bis Produktion in 6 Wochen. LivLive launchte in 6 Wochen und sammelte über $2M durch das Produkt. Tempo entsteht durch Senior Engineers, die den Job nicht erst auf deinem Retainer lernen müssen.

### Welche Arten von Projekten baut Wavect?

Full-Stack Web und Mobile, KI-Integrationen (RAG, Agenten, Fine-Tuning), Blockchain (Smart Contracts, Wallets, Bridges, ZK), IoT und Software-QA. Wir haben in Enterprise AI, EdTech, FinTech, RWA, Crypto Payments, Music Tech und Enterprise SaaS ausgeliefert. Über 75 Produkte seit 2018. Schau dir die Cases oben an für die tatsächlichen Builds, die Constraints und das, was ausgeliefert wurde.

### Kann Wavect Enterprise-Qualität in Startup-Zeit liefern?

Ja, und die Case Studies zeigen es. Twinsoft AI erreichte Enterprise-Pilot-Qualität in 2 Wochen unter Live-Demo-Druck. Polity läuft QA über 7 Microservices seit 1,5 Jahren mit hunderten Regressionen vor Release abgefangen. LightBridge sicherte über $1M in Produktion ab Tag eins. Senior Engineers, unterzeichneter Werkvertrag, fixer Scope. Keine Trainees zu Senior-Sätzen.

### Was kostet ein Wavect Case-Study-Projekt?

Fixed-Scope Builds starten bei €3.500 ([Discovery-Phase](/de/glossary/discovery-phase/)). Full-Stack [Retainer](/de/glossary/retainer/) laufen von €10.000 bis €30.000 pro Monat, je nach Teamgröße und Burn. [Fractional Co-Founder](/de/glossary/fractional-cofounder/) kostet €400 pro Woche. Jedes Engagement ist ein unterzeichneter [Werkvertrag](/de/glossary/sow/), rechtlich bindend auf Scope und Deadline. Volle Preise auf den Service-Seiten.

### Mit welchen Tech-Stacks arbeitet Wavect in Produktion?

NestJS, NextJS, React, Angular, Vue im Web. React Native, Flutter, native iOS und Android im Mobile. Python, Django, Flask, Postgres, Neo4j, Docker, Kubernetes, Terraform im Backend und Infra. EVM, Solana, Cosmos, Polkadot, Near, Ton, ICP On-Chain. Wir wählen den Stack passend zum Build, nicht andersherum. Jede Case Study oben listet den Stack auf, den wir tatsächlich ausgeliefert haben.

Kundenreferenzen und Marken

Kundennamen, Logos und Marken sind Eigentum ihrer jeweiligen Inhaber und stehen hier zur Kennzeichnung der Arbeit, nicht als Empfehlung. Jede Case Study beschreibt Wavects eigenen Beitrag innerhalb eines größeren Vorhabens. Wenn du hier genannt wirst und eine Korrektur oder Löschung möchtest, schreib uns: [office@wavect.io](mailto:office@wavect.io)

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