Alexander Stasiak

AI Agents for Clinical Documentation and Medical Administration

How ambient agents draft clinical notes, map billing codes and handle prior authorisation — giving clinicians back the hours the EHR takes away.

AI Agents for Energy Management in Industrial Facilities

How autonomous agents cut industrial energy bills — peak shaving, HVAC optimisation and grid interaction, executed in real time without a human in the loop.

AI Agents for Factory Workflow Optimization

How autonomous agents orchestrate the whole factory — resolving bottlenecks, scheduling maintenance and reallocating resources before output suffers.

What Working with Startup House Actually Looks Like: Engineers, Scope Changes, and IP Ownership

Before signing with any software partner, clients ask three things: who will work on my product, what happens when priorities change, and who owns what we build. This article answers all three with the actual terms Startup House works under. You will see how engineers are vetted and approved by you, how teams scale up or down on agreed notice, and why all code, designs, and documentation belong to you with no vendor lock-in. It also covers the four engagement models and the rules that govern AI-assisted delivery.

15 Questions Clients Ask Before Starting a Project with Startup House

Every sales call covers the same ground: what a project costs, how fast it can start, who will do the work, and who owns the result. This article collects the 15 questions clients ask Startup House most often, grouped into money, time, team, ownership and security, and fit. Each answer is the one we give on calls, with real numbers such as small MVP budgets of €25,000 to €50,000 and onboarding within 2 to 4 weeks. Use it as a checklist for any software partner you are evaluating.

AI Agents for Predictive Maintenance and Asset Reliability

How autonomous agents read vibration, thermal and acoustic data to predict failures weeks ahead — and act on them without waiting for a human.

AI Agents for Retail Customer Service Automation

How autonomous agents resolve retail support end to end — processing returns, tracking orders and upselling, instead of pointing customers at an FAQ page.

Application Development Solutions

Application development solutions cover the entire arc from strategic discovery to continuous scaling, and each phase has its own failure modes. This guide defines what modern solutions include, explains why discovery deserves real investment, and shows where custom engineering beats generic templates. It reviews agile sprint execution, industry-specific requirements and the engagement models that fit different growth stages. Security, compliance and time-to-market trade-offs are treated as engineering concerns rather than afterthoughts.

Application Development In Cloud Computing

Running an application in the cloud and building it for the cloud are very different engineering decisions. This guide covers cloud-native development properly: the delivery models, the container and orchestration stack, and the CI/CD pipelines that make continuous deployment safe. It walks the lifecycle step by step, addresses the challenges teams hit around cost control and vendor lock-in, and compares long-term economics against on-premise alternatives. Industry examples and forward-looking trends round out the picture.