Cases & proof

What we do,
we show

No fancy promises, just real journeys. Here you see how we translated business challenges into solutions that actually work.

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Featured work

Real journeys,
real results

Our cases show what it delivers to work with a technology partner instead of a capacity supplier.

SARA, de zorgrobot van SARA Robotics
Care tech · PlatformCase 01

A care robot that brings calm at the busiest moments

More calm for clients, less workload for the team. Care workers can support several clients at once. Behaviour such as calling out or restlessness happens on average 40% less often, and at partners like tanteLouise SARA saves up to 86 minutes per shift. SARA now runs at more than thirteen care organisations.

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Drie Foreside-engineers werken samen achter hun schermen
Retail & e-commerceCase 02

More firepower in the teams behind a high-traffic platform

Teams with more firepower that deliver faster without trading in quality. And just as important: the knowledge and the way of working stay with the team, even after the engagement ends.

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Een Foreside-engineer loopt het team door een schermontwerp heen
Software & platformsCase 03

From outdated software to room to grow

A platform that can be extended again: documented, transferable and ready for the next phase of growth. New wishes mean progress again instead of risk, and the team can carry the foundation forward on its own.

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Collega's van Foreside lachen tijdens een sessie met het hele team
Own product · AI & communityCase 04

A gamified intranet where you simply ask an assistant your HR questions

One place for community, recognition and instant answers to HR questions, at any moment and from any location. HR keeps its time for the questions that genuinely need a human. And for our clients this is tangible proof of how we build AI into a product: useful, honest about its limits, and with a human ultimately in charge.

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Twee Foreside-engineers kijken samen naar code op een groot scherm
Open source · AI-ready formsCase 05

Forms as data, so even an AI can build and fill them in safely

One source of truth for every form, from web UI to AI agent. For our clients this safely enables AI features that are otherwise nerve-racking: an assistant that fills in an application for you, or a backend that generates tailored forms per user. The AI moves within the rules of the schema, and the human stays in control. And because dynz is open source, anyone can build with it.

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Three Foreside engineers working together at one screen
Enterprise · Strengthening teamsCase 06

Engineers who commit to your result

Multiple long-running placements at enterprise clients across the Netherlands. Our engineers operate fully inside internal teams and bring more than just capacity.

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Case 01 · Detailed

SARA Robotics:
A care robot that brings calm at the busiest moments

Elderly and disability care is stretched thin by staff shortages and workload. Exactly at peak moments care workers run short of hands, while clients then need extra attention. SARA Robotics wanted to make that attention scalable, without replacing human care.

86 min
Saved per shift, per worker
The challenge
Elderly and disability care is stretched thin by staff shortages and workload. Exactly at peak moments care workers run short of hands, while clients then need extra attention. SARA Robotics wanted to make that attention scalable, without replacing human care.
Our approach
We wrote the software behind SARA. The platform gives every client a tailored programme, matched to difficulty level, stimulation and interests. We built it so a care worker uses SARA without any technical knowledge, and so the organisation tracks results through a dashboard. Reliable, scalable and ready for 24/7 use.
The result
More calm for clients, less workload for the team. Care workers can support several clients at once. Behaviour such as calling out or restlessness happens on average 40% less often, and at partners like tanteLouise SARA saves up to 86 minutes per shift. SARA now runs at more than thirteen care organisations.

“I can now help two clients at once. That gives me more calm and lets me work more carefully.”

Care worker at a SARA partner
Case 02 · Detailed

Jumbo:
More firepower in the teams behind a high-traffic platform

At a retailer of this size the technology never stands still: the digital platforms evolve every day, while millions of customers simply need to be able to rely on them. The internal teams needed reinforcement that gets up to speed quickly and adds value straight away.

The challenge
At a retailer of this size the technology never stands still: the digital platforms evolve every day, while millions of customers simply need to be able to rely on them. The internal teams needed reinforcement that gets up to speed quickly and adds value straight away.
Our approach
Our engineers became full members of the existing teams, working in Jumbo's own rhythm and way of working. They picked up features and improvements, thought along on architectural choices and brought our agentic way of working, so routine work went faster and more time was left for the choices that matter.
The result
Teams with more firepower that deliver faster without trading in quality. And just as important: the knowledge and the way of working stay with the team, even after the engagement ends.
Case 03 · Detailed

MB:
From outdated software to room to grow

Software that grows with the company for years eventually becomes the brake itself: every new wish takes more time, and the knowledge of the system sits with a handful of people. MB was at that point and wanted to move forward, without halting daily operations.

The challenge
Software that grows with the company for years eventually becomes the brake itself: every new wish takes more time, and the knowledge of the system sits with a handful of people. MB was at that point and wanted to move forward, without halting daily operations.
Our approach
We started with an honest analysis of the existing system: what is the core that delivers value, what slows things down and where are the real risks. From there we modernised step by step, with AI helping to map the existing landscape and our engineers testing every choice against MB’s day-to-day reality.
The result
A platform that can be extended again: documented, transferable and ready for the next phase of growth. New wishes mean progress again instead of risk, and the team can carry the foundation forward on its own.
Case 04 · Detailed

Foreside:
A gamified intranet where you simply ask an assistant your HR questions

With offices in Eindhoven and Amsterdam you want one culture, not two islands. Meanwhile the same HR questions kept coming in: leave, expenses, training budget. Valuable questions, but not something a human should type the same answer to every time. And recognition for knowledge sharing and teamwork too often stayed invisible.

The challenge
With offices in Eindhoven and Amsterdam you want one culture, not two islands. Meanwhile the same HR questions kept coming in: leave, expenses, training budget. Valuable questions, but not something a human should type the same answer to every time. And recognition for knowledge sharing and teamwork too often stayed invisible.
Our approach
We built our own intranet platform, with the same agentic way of working we use in client projects. Foreside Universe makes recognition visible and fun: a themed season every quarter with challenges, credits, a shop with exclusive items and a leaderboard across both offices. Next to it sits ForesAide: an AI chat assistant that answers HR questions directly from our own HR documentation, citing its source with every answer. Sensitive or personal matters get a warm handover to HR, conversations are not stored, and all processing stays within the EU. Signing in uses the existing Google account, no extra passwords.
The result
One place for community, recognition and instant answers to HR questions, at any moment and from any location. HR keeps its time for the questions that genuinely need a human. And for our clients this is tangible proof of how we build AI into a product: useful, honest about its limits, and with a human ultimately in charge.
Case 05 · Detailed

Dynz:
Forms as data, so even an AI can build and fill them in safely

Forms are everywhere, and their logic is usually scattered: validation in the frontend, once more in the backend, with the exceptions slightly different in each. Every change has to be made twice. And the moment you want AI to compose or fill in forms, that becomes a real problem: a language model cannot read scattered code logic, let alone safely change it.

The challenge
Forms are everywhere, and their logic is usually scattered: validation in the frontend, once more in the backend, with the exceptions slightly different in each. Every change has to be made twice. And the moment you want AI to compose or fill in forms, that becomes a real problem: a language model cannot read scattered code logic, let alone safely change it.
Our approach
Ruben van Rooij, CTO of Foreside Eindhoven, built dynz: an open-source schema library in which a form is a single TypeScript definition, built up as pure data. Fields, validation rules, conditional visibility and cross-field relations survive a JSON round-trip and can be evaluated in any runtime: backend, web, mobile and by an AI agent. That is exactly what makes it AI-ready: a language model can generate or adjust a schema, and your system validates the result with exactly the same rules as always.
The result
One source of truth for every form, from web UI to AI agent. For our clients this safely enables AI features that are otherwise nerve-racking: an assistant that fills in an application for you, or a backend that generates tailored forms per user. The AI moves within the rules of the schema, and the human stays in control. And because dynz is open source, anyone can build with it.

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