The software you need, built for you.
In plain wordsThe tools your company needs and the market does not offer, with or without AI.
The challenge
Some activities still run on spreadsheets, emails and ageing software that no one dares to touch. Off-the-shelf products do not fit, and internal teams are already busy.
- Work managed in spreadsheets and emails
- Ageing systems that are hard to maintain or to connect
- Off-the-shelf software that does not fit how you work
- Several providers, and no one accountable for the whole
What we build
Internal tools
Back-offices, portals and business tools, connected to your systems and access rights.
Business applications
Web and mobile applications for your teams, your customers or your partners.
Platforms
Platforms that bring together users, data and services, built to grow.
Dashboards
Your key figures gathered from several systems, updated automatically, readable by everyone.
Modernisation of older systems
Ageing applications rewritten or reconnected step by step, without stopping the business.
Architecture and infrastructure
Back-end, APIs, cloud or private servers, continuous integration and monitoring: a technical foundation built to last.
How we build
The same standards apply to every project, from the first version.
Quality
Automated tests, and measurement on your real cases for every AI feature.
Security
Private deployment options, encryption, access control and audit logs.
Performance and cost
Technical choices balance speed, robustness and running cost.
Maintainability
Documented code, automated tests and handover to your teams when you choose.
Examples of use cases
Typical software we build.
Internal tool for a business team
- Context
- A team runs its work in spreadsheets and emails, re-keying data at every step.
- Outcome
- A custom tool, connected to existing systems, that prepares files and checks automatically.
A dashboard for management
- Context
- Management figures are compiled by hand from several systems.
- Outcome
- A dashboard fed automatically, with the same figures for everyone, updated every day.
Modernising an ageing application
- Context
- A critical application runs on a technology few people still master.
- Outcome
- A step-by-step rewrite: each part replaced without interrupting the business, and documented.
Customer platform with built-in AI
- Context
- A company wants to offer its customers an online service built on its data and expertise.
- Outcome
- A platform built end to end, from interface to infrastructure, with an assistant that guides users.
Expected results
- One team accountable for the whole software
- Tools that fit the way you work
- Older systems modernised without disruption
- Software your teams can maintain
From need to software in production
- 01
Scope
Users, needs, success criteria, available data and constraints, written down and agreed.
- 02
Design the architecture
How the software is split, the technical choices, where AI fits, the infrastructure.
- 03
Build in iterations
Usable versions at regular intervals, tested on real cases.
- 04
Release and evolve
Progressive release, monitoring, user feedback, then regular improvements.
Included in every project
What comes with every projectData
Gathering, cleaning and structuring your data. It is the foundation of every AI project that works.
Security & compliance
Data under your control, hosting on your premises possible, traceability and controlled access. The GDPR, Japan’s APPI and Hong Kong’s PDPO are taken into account, and we adapt to your own security requirements and audits.
Operations & quality evaluation
Monitoring in production, measurement of the quality of the AI’s answers, guardrails, continuous improvement and cost control.
Training & handover
Training for executives and teams in AI, transfer of skills, documentation.
A tool to build?
Tell us what you need. We will explain how we would build it and what it requires.