Start with the problem you need to solve, then inspect the closest case. Wavect’s work covers software products, AI, enterprise systems, commerce, finance and Web3.
Match the evidence to your situation
- Enterprise AI or an existing prototype: Twinsoft AI covers engineering foundations, LLM integration and the product experience needed for enterprise pilot calls.
- AI product development: PromptID shows an assessment platform, model integration, evaluation and production engineering.
- Public infrastructure and IoT: IKB covers LoRaWAN integration, device testing and platform handover for Innsbruck’s municipal utility.
- Commerce operations: MyMerch describes targeted Shopify and process improvements. The roughly 50% efficiency improvement is a customer-reported result from that project.
- Financial software: Bond Analytics covers data ingestion, analytics, testing and an institutional-facing product.
- Web3 financial applications: Enya Finance explains Wavect’s application, integration and testing contribution, alongside other collaborators.
These are individual engagements, not promises about your budget, timing or commercial results. Each case explains Wavect’s specific role. Browse all case studies.
Useful next step: tell the assistant what you are building, who uses it and what currently blocks progress. It can point you to the most relevant evidence.
Software quality and technical assessment
For quality across multiple services and suppliers, inspect Polity: structured integration review, service-level checks and critical user-flow validation. For documentation, code review and a scoped AI assessment, see Cedars. These cases describe Wavect’s contribution; they are not certification or a guarantee that every defect will be found.