Case Studies | Hypership

Case Studies

Proof over promises.

Production systems shipped with clients. Named when we can, anonymised when we must, real either way.

01, LatestKuper

Turning communication into compliance at Kuper

Kuper wanted to catch the contractual events hiding in everyday project correspondence before the deadline to raise them passes. Working as one team with the founder, we took the idea to a working product in five weeks. It now runs in Kuper's own Azure environment with a first pilot customer on board.

DiscoveryProduct BuildForward Deployed Engineering

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Six weeks to AI-native engineering at Joulen

Joulen, a Belfast smart-energy company, wanted its engineering and product teams working AI-native ahead of a strategic platform delivery. We embedded on-site for six weeks; by the end, AI-first was how their teams worked: a capability they own outright, delivered on schedule with no extension needed.AI Enablement→03AlfaGov

Building auditable AI for government decision-making

Working as one team with AlfaGov’s founder, we shaped an ambitious idea into a deployed MVP in six weeks - combining guided business-case development, evidence-grounded AI and end-to-end traceability.DiscoveryProduct BuildForward Deployed Engineering→04Enterprise digital services · UK & Ireland

Driving AI adoption inside a large enterprise

A large global enterprise, under NDA, wanted its teams building with AI by default, without hiring a permanent team or handing the work to a vendor. We embedded as an enabling team, built that capability inside their own teams, and stepped out once it stuck.AI Enablement→05Software NI

Signals: feedback that shows the trend, not the snapshot

Signals is a continuous-feedback platform we designed, built and launched ourselves: real-time sentiment, true anonymity, and AI insight. We took it to market with Software NI as launch partner.Product Build→06Theatre operations (SaaS) · London West End, UK

Defusing a £250K risk in West End theatre operations

A theatre physio turned founder had a £250,000 problem hiding in spreadsheets. We embedded, learned West End operations from the inside, and shipped an operations platform whose holiday engine catches the scheduling error that cancels shows, before anyone signs off leave.Product Build→

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