ERNI

ERNI ERNI stands for Swiss Software Engineering to boost people and businesses in the innovation of software-based products and services on a global platform.

When teams modernise a product, the conversation is all about the new platform: a new language, a new architecture, a cl...
26/08/2026

When teams modernise a product, the conversation is all about the new platform: a new language, a new architecture, a cleaner interface. One thing rarely makes it into the strategic discussion, yet it often carries the greatest risk of the entire programme. 🎯

It is the testing network. Years of accumulated tests that quietly hold together traceability, validated behaviour and the confidence that every release still works. The moment the technology stack changes, that safety net becomes exposed, and rebuilding it from scratch can cost more than rebuilding the application itself. A few things worth your attention:

● The counterintuitive decision that cut test migration effort by roughly half, and it was not about writing tests faster
● How a system of over 1,500 automated scenarios and 900 requirements moved from desktop to web without resetting product confidence
● Why the smartest move in one migration was to translate meaning rather than code, using natural language as the bridge between two stacks
● The exact role AI played, and the one thing it was never allowed to decide 🤖

The real question in any migration is not whether the system can be rebuilt. It is what should never be rebuilt at all. 🤔

Link in the comments. 👇

The defect that surfaces during testing was almost never born there. In medical device software, most quality problems a...
19/08/2026

The defect that surfaces during testing was almost never born there. In medical device software, most quality problems are introduced far earlier, then quietly travel downstream until they become expensive, and sometimes dangerous, to fix. 🩺

The uncomfortable part is that the root cause is often structural: project management and quality assurance pulling in different directions on priorities, metrics, ownership and incentives, long before a single test is run. A few ideas worth your attention:

● Why the testing team ends up cast as the obstacle, when the real problem started phases earlier
● The moment in a project where most future failures are quietly decided, though it looks nothing like a quality activity at the time
● Why building traceability only when the audit approaches is already too late, and what to do instead
● The standards that shape all of this, including IEC 62304, ISO 13485 and ISO 14971, and where teams most often fall short 📋

In regulated MedTech, quality is not a phase near the end. It is a decision made at the very beginning, or not at all. 🤔

Link in the comments. 👇

There is a way to steal data today that no encryption can protect you from, because the theft is designed to pay off yea...
12/08/2026

There is a way to steal data today that no encryption can protect you from, because the theft is designed to pay off years from now. It even has a name. 🔐

Quantum computing tends to arrive in conversation wrapped in hype: conscious machines, chatbots running on qubits, an internet that is simply faster. Most of that misses what is actually happening, and what is worth preparing for now. A few figures and ideas worth your attention:

● The roughly €80 billion being spent on quantum computing worldwide this year, and who is spending it
● Why "harvest now, decrypt later" should already be on the radar of any organisation holding data that must stay confidential for a decade or more
● The difference between a line drawn in sand and a knot tied in rope, and why it may decide the future of the technology
● Where a quantum system genuinely earns its enormous cost, and where a conventional supercomputer still wins ⚛️

The honest question for business is not whether the technology is impressive. It is knowing where it creates real value, and where it is simply the latest trend. 🤔

Link in the comments. 👇

In pharmaceutical manufacturing, a single process deviation rarely stops at the batch. Investigations, documentation, re...
05/08/2026

In pharmaceutical manufacturing, a single process deviation rarely stops at the batch. Investigations, documentation, release delays, discarded materials: the cost ripples across the whole organisation. 🔬

For decades, the safeguard has been one thing: an experienced engineer watching the line, spotting the drift before it becomes a deviation. But what happens when the expert is unavailable, the signal is too subtle, or the pace makes constant oversight impossible?

New research, now published in the International Journal of Pharmaceutics, points to a more durable answer. A few ideas worth your attention:

● A model that anticipates a deviation before it happens, and names the corrective action to take
● Why a risk score on its own can quietly reintroduce the very dependency it was meant to remove
● The gap between a model that shines in the notebook and one that survives a live, regulated production floor 🏭

The distance between a proof of concept and a system you can actually trust in a GMP facility is not a research problem. It is something else entirely. 🤔

Link in the comments. 👇

Most product teams measure the wrong thing. Velocity, story points, features shipped: all easy to count, all a comfortab...
29/07/2026

Most product teams measure the wrong thing. Velocity, story points, features shipped: all easy to count, all a comfortable illusion of progress. 📊

Yet the decisions that actually shape a product are almost never the ones you can see on a dashboard.

What if the single most valuable skill in agile product ownership is not building faster, but refusing more? A few uncomfortable ideas worth sitting with:

● Why a well-maintained backlog can quietly become the opposite of a strategy
● The invisible cost hidden inside every "yes" to a stakeholder
● Why trying to satisfy everyone tends to end in satisfying no one

The strongest products are defined less by what made it in, and more by what was deliberately left out. 🎯

Link in the comments. 👇

The compliance officer is rarely invited to the fun brainstorms. Yet theirs is the first name that comes up when somethi...
22/07/2026

The compliance officer is rarely invited to the fun brainstorms. Yet theirs is the first name that comes up when something breaks. 🔒

There is a reason for that, and it is not the one most teams assume.

Meet "the Ugly": the person with the checklist, the awkward questions, the constant talk of ISO 27001, NIS2, GDPR and CRA. Told from their point of view, the story sits with a few uncomfortable truths:

▪ Why certified companies keep getting breached anyway
▪ What a passed audit actually protects, and what it quietly does not
▪ The difference between a certificate that wins clients and a mindset that stops breaches

If you have ever thought "do we really need this now?", this one is for you. 👀

Link in the comments.

Ten qubits hold 1,024 possibilities. Twenty exceed a million. Fifty surpass a quadrillion. 🔢Yet the machines that manage...
15/07/2026

Ten qubits hold 1,024 possibilities. Twenty exceed a million. Fifty surpass a quadrillion. 🔢

Yet the machines that manage this are so fragile they often need to be cooled to around −273.15°C, a whisker above absolute zero, just to keep working.

Quantum computing is one of the most misunderstood technologies of our time. It is not simply a faster computer, and it will not replace the one on your desk. What it does is stranger, and arguably more interesting. ⚛️

A few ideas worth sitting with:
🌀 Why a classical computer solves a maze like a mouse hunting for the exit, while a quantum one behaves more like smoke filling every corridor at once.
🪙 What a spinning coin can teach us about a qubit, and where that comparison quietly breaks down.
🔗 How two particles can stay correlated across any distance, without sending a single signal between them.

We unpacked the science behind all three, minus the hype.

Link in the comments. 👇

Before heading off for a well-deserved summer break, our teams across Spain came together for another unforgettable ERNI...
09/07/2026

Before heading off for a well-deserved summer break, our teams across Spain came together for another unforgettable ERNI Summer Party ☀️

With an Under the Sea adventure in Barcelona 🪸🐠 and a fantastic celebration in Madrid, the day was all about reconnecting, sharing great moments, and celebrating the people behind every project.

These moments remind us that building a great workplace goes beyond what we achieve together. It’s also about creating experiences to connect, have fun, and strengthen the relationships that make ERNI such a special place to be.

A huge thank you to everyone who made this year's Summer Party so special.

Wishing all ERNIans a wonderful summer, we can't wait to see you after the holidays❤

MedTech companies are no longer asking what is possible. They are asking how to implement innovation safely, efficiently...
08/07/2026

MedTech companies are no longer asking what is possible. They are asking how to implement innovation safely, efficiently and compliantly.

That was the clearest signal from MedConf 2026 in Munich, and it points to a fundamental shift in how medical devices will be developed over the coming years. 🩺

A few of the trends that stood out:
🤖 Why AI has moved from experimentation to a question of trust and regulatory readiness
🔒 How cybersecurity became a patient safety issue, not an isolated IT concern
🔗 What is turning interoperability from a technical afterthought into a strategic priority
📋 Where compliance now belongs in the development process, and why it decides who gets ahead

The bigger picture: MedTech innovation is becoming software-defined, and these topics are converging into one ecosystem of medical technologies that can be trusted, validated and safely deployed at scale.

Read the full breakdown of what MedConf 2026 revealed. Link in the comments. 👇

According to EIOPA, half of Europe's non-life insurers are already deploying AI. So why have so few moved beyond isolate...
01/07/2026

According to EIOPA, half of Europe's non-life insurers are already deploying AI. So why have so few moved beyond isolated pilots into something that actually reshapes operations? 🤔

The honest answer surprises people: the hard part is rarely the technology.

Claims, underwriting and fraud detection are all fertile ground for AI agents, with routine claims resolution dropping from days to hours where deployments have reached production. But the projects that stall almost never stall on the model. They stall on governance, legacy data, and a cultural question most teams underestimate until it is too late.

Under the EU AI Act, much of insurance AI now counts as high-risk. That changes what "ready to deploy" actually means. 🔍

We looked at where agents are genuinely creating value, why most pilots never scale, and what the insurers who get it right do differently.

Link in the comments. 👇

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