Which industries has Wavesteam worked in?
Wavesteam's public case studies include AI applications, education, manufacturing digitalization, IoT and new energy, property operations, health, retail, local services, sports communities, and nonprofit work.
Industry names are useful for initial screening, but they are not enough to select a delivery team. Wavesteam also compares the target users and roles, core states and exceptions, data and integrations, regulatory obligations, performance expectations, and post-launch operating responsibility. Two manufacturing products, for example, can differ substantially when one records shop-floor work and the other coordinates planning across factories.
When applying case experience to a new project, also compare Does Wavesteam have a relevant AI education case study?; the linked guidance adds context that should be considered in the same decision.
When an authorized public case is close, we state which delivery methods are relevant and which assumptions cannot be transferred. If domain knowledge is central, the client's business owner or an appropriate specialist remains responsible for confirming the underlying rules, while Wavesteam turns those rules into product behaviour and acceptance evidence. An unverified interface, dataset, device, or workflow is tested with representative samples, a prototype, or a bounded pilot before a larger commitment.
If the public portfolio does not contain sufficiently comparable evidence, we say that directly rather than stretching an industry label. Relevant experience can reduce uncertainty, but each new project still needs its own technical proof, commercial boundary, and acceptance criteria.