Problem-Led Product & Engineering
Working with
A VC-funded, Enterprise Ireland-backed startup
How we help
Every project starts with one question: what are we actually trying to solve? Sometimes the answer is a new product. Sometimes it is a better workflow, an automated process, or a rebuild of something slowing the business down.
01 / 06
You have an idea — or a problem — but you are not yet sure what to build, or whether it is worth building.
Explore Details02 / 06
The product works — but people struggle to understand it, trust it, or get through what they came to do.
Explore Details03 / 06
You need a product built properly — web, mobile, or platform — around how the business actually works.
Explore Details04 / 06
The team is buried in manual steps, workarounds, and spreadsheets that were never meant to scale.
Explore Details05 / 06
There is a real problem here — and you want to know whether AI would genuinely help, or just add complexity.
Explore Details06 / 06
The system is fragile, slow, or no longer fits what the business needs it to do.
Explore DetailsOur AI practice
Genverge is where we take on AI-specific work. Built for the problems where language models, intelligent automation, and data reasoning create genuine value — not spectacle.
Selected Work
HealthTech / Personalized Nutrition
Connecting assessment logic, personalised recommendations, and physical dispensing into one trusted experience.
Clarify the problem, pressure-test assumptions, understand users, and decide what is actually worth building. The most expensive mistake in product development is building the wrong thing well. Product discovery exists to prevent that.
Understand what is actually broken and why it matters to the business.
Surface the behaviours, frustrations, and decisions that should shape the product.
Challenge the beliefs the product rises or falls on before committing budget.
Decide what is worth building — and what is not.
Map the fastest path to genuine value, with the decisions documented.
We help you articulate the real problem — not the symptom, not the solution someone has already decided on. Starting here saves weeks of building in the wrong direction.
Focus Areas
Understanding the people who will use the product before designing for them. We surface the behaviours, frustrations, and mental models that should shape every design decision.
Focus Areas
Every product rests on assumptions. We surface them, rank them by risk, and test the critical ones before committing budget to a full build.
Focus Areas
Once the problem is clear, we help define what is worth building first — and what to leave out. A focused scope is the difference between a product that ships and one that stalls.
Focus Areas
Turn complex journeys into clear, usable experiences that people can understand, trust, and complete. Good design is not decoration — it is how a product communicates that it understands the person using it.
Understand who uses this, what they are trying to do, and what gets in the way.
Organise content and flows so the right things are findable without instruction.
Design how the product responds to what people actually do.
Apply the visual language and test whether people feel trust.
Test with real users before a line of code is written.
Design decisions grounded in how people actually behave, not how we assume they do. We bring user insight into every design choice.
Focus Areas
From wireframes to high-fidelity interactive prototypes that communicate the product clearly to stakeholders, developers, and users.
Focus Areas
Visual design that reinforces clarity, builds trust, and reflects the brand — without getting in the way of the user completing what they came to do.
Focus Areas
We make sure what gets built matches what was designed — with clear documentation, annotated specs, and ongoing collaboration with engineers during build.
Focus Areas
Build web, mobile, and platform systems around business logic, user behaviour, and operating reality. We build products designed to survive real-world use — not just pass a demo.
Design the system structure before writing a line of code.
Engineer to the standard the production environment demands.
Integrate the product with the systems and data it depends on.
Validate behaviour under real conditions, not ideal ones.
Deploy with a clear plan for what happens in the first week of real use.
Responsive web applications built around how your users work and what your business needs to operate — not just what looks good in a browser.
Focus Areas
Native and cross-platform mobile apps that work the way people expect — fast, intuitive, and reliable in the conditions your users actually face.
Focus Areas
Multi-sided platforms, internal tools, and business portals that bring together the systems, users, and workflows your operation depends on.
Focus Areas
Robust APIs and integrations that connect your product to the services and systems it needs — built to be reliable, documented, and maintainable.
Focus Areas
Replace manual, fragmented, or spreadsheet-heavy processes with systems that reduce friction and restore control. The best automation does not just save time — it removes the category of error that was quietly slowing everything down.
Understand what is actually happening before redesigning it.
Identify where time, accuracy, and energy are being lost.
Design the automated system around the real process, not the ideal one.
Integrate the tools and systems the workflow depends on.
Train the team and document what was built so it stays working.
Before automating anything, we map the current workflow to understand what is actually happening — not what the process document says is happening.
Focus Areas
Replacing manual, repetitive, or error-prone tasks with reliable automated systems — connected to the tools your team already uses.
Focus Areas
Connecting the tools and platforms your business depends on so data flows where it needs to, without manual intervention in between.
Focus Areas
Giving the right people the right view of what is happening — without requiring them to pull data from four different places every morning.
Focus Areas
Apply AI where it solves a real business problem — not where it simply sounds impressive. The question is never 'can we use AI here?' It is 'does AI actually help the person or the business at this point in the workflow?'
Determine whether AI is the right tool for this specific problem.
Understand what data is available and what it can reliably support.
Design the AI component within the broader product or workflow.
Build and test against real-world performance, not demo conditions.
Integrate the AI layer and establish visibility into how it behaves over time.
We help you identify where AI genuinely improves the product or operation — and where it adds complexity without adding value.
Focus Areas
Integrating large language models into products and workflows where natural language understanding or generation creates genuine user or operational value.
Focus Areas
Using AI to handle the decisions and classifications that rules-based automation cannot — applied to the processes where it reduces friction and improves accuracy.
Focus Areas
Designing the infrastructure that supports AI features in production — reliable, maintainable, observable, and built to handle real-world edge cases.
Focus Areas
Design the technical foundations behind products that need to be reliable, maintainable, integrated, and production-ready. Good architecture is invisible when it works — and very visible when it does not.
Assess the current system honestly before changing it.
Define the structure that will support the product over time.
Engineer to the level the production environment demands.
Handle security and compliance before they become incidents.
Hand over what was built, and why, so it can be maintained.
Designing the system structure before writing the code — so the decisions that are hard to change later are made deliberately and documented clearly.
Focus Areas
Cloud environments designed around what the product actually needs — not the most impressive configuration or the cheapest shortcut.
Focus Areas
When a system is fragile, slow, or no longer fits the business — we assess what is worth keeping and what needs to be rebuilt, then do the work properly.
Focus Areas
Building security into the system rather than bolting it on afterwards — with the compliance requirements the product, the data, and the market demand.
Focus Areas
Reso Health / DrinkThis needed more than an app. The challenge was to connect assessment logic, personalised recommendations, user onboarding, machine pairing, and physical dispensing into one trusted experience — and make it simple enough that a user could walk up to a machine and complete the whole journey without friction.
Mapped assessment inputs, recommendation logic, onboarding, and ordering into one journey a user could understand without seeing the complexity underneath.
Designed a secure machine-pairing journey with time-bound sessions tied to specific orders, so software decisions could safely trigger physical dispensing.
Designed the mobile experience around clarity, confirmation, and progress feedback to reduce uncertainty during the vending-machine interaction.
Structured the logic for machine state, dispense feedback, error handling, and future operational visibility instead of treating the app as a standalone screen flow.
The result was not just screens or an app build. It was a connected product experience designed around user trust, business logic, secure machine interaction, and the operational reality of personalised nutrition delivery.
Mobile App & Backend Engineering
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Posipher Solutions
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Regulatory Framework
Last Updated: 11-Jan-26
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We provide product strategy, design, engineering, automation, AI-enabled systems, and technology-related services. Service details, timelines, and pricing are agreed upon separately.
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Email: hello@posipher.com
Quick answers
Hi — what problem are you working on? I can help you explore how we work, what we build, or just start a conversation.