We design, build, run and audit the systems your business depends on, on your infrastructure or ours.
Security, compliance and dependencies are built in from the first day, not reviewed at the end. Our platform components come inside the solution, so you move faster and own the result.
Proof. We led the AI-secured transformation of a delivery program of several hundred people, and we build systems that process know-your-customer documents without ever leaving the client's perimeter.
The problem
Regulated companies want what everyone wants: fewer manual processes, one truth in the data, AI in operations. They also carry what others do not. Every project drags security, compliance, supplier risk and legacy behind it, and pays for it in speed and budget.
New system or one that has run for ten years, the questions are the same: where the data goes, which supplier holds it, what the regulator will ask. The answers change with every dependency, every model and every release. Answered once, at the start, they are out of date by the first release. Never answered, they stop the company.
Years of change, several vendors and now AI-generated code have widened the gap between what you think you have and what you have. Integration and modernization start from a map that does not exist.
A few suppliers hold the platforms, the models and now the tokens. Concentration is a regulated risk today, and the options on the market are few, especially in the European Union.
Free of AI policies, data controls and infrastructure borders, some teams ship software up to 10× faster. Regulated teams deserve the same speed, with the evidence a board or a regulator will ask for.
Control is now a budget line. The question is no longer whether to digitalize under constraints. It is who can deliver at speed inside them.
What we do
Come in through the service that matches your need today. All of them run on the same platform, the same security chain and the same evidence, and our platform components come inside the work as accelerators.
The map of the gap between what you think you have and what you have, connected to what is actually running, not to last quarter's report.
Transferred to you, licensed, or run as SaaS: you choose. Small teams deliver at 20% to 60% lower cost per quarter than in 2025, and in regulated programs of 100 to 300 people a change that took seven to nine days ships in one or two.
A system the client runs and audits without us, or with us for as long as it wants.
Complete control of your value chain, for companies whose software is strategic.
You focus on the features. Security, deployment and maintenance are ours. And when the rules require it, the whole platform runs privately, inside your company.
Our work
Three of our missions, anonymised: no client names, and sizes and places only where they may be told. What we describe is the value.
Context. A B2B e-commerce programme of hundreds of people, spread across the world, wanted AI in its delivery without opening a security gap.
Mission. Leading the programme's transformation end to end: an AI-secured software development lifecycle, the policies, the tooling, the audit, and the change with every team.
Value. AI inside the pipeline with governance around it: one lifecycle for every team, evidence at every increment delivered.
Context. A wealth management client needed to process know-your-customer documents on infrastructure it controls, from the first assessment to production.
Mission. The whole chain: data protection impact assessment, threat analysis, data processing design, solution architecture, DevSecOps, and deterministic, AI-accelerated development on sovereign infrastructure.
Value. Documents processed where the regulator can see them, a delivery chain that leaves evidence at every step, and a system the client runs and audits without us.
Context. A group with several production facilities could not analyse its finances across them: the figures lived in different SAP systems, Power BI models and spreadsheets.
Mission. Financial management reconciliation between facilities: common data models, matching rules, an audit trail for every adjustment, and the dashboards the finance team asked for.
Value. Financial analysis across all facilities on one reconciled dataset, with every discrepancy explained rather than hidden.
Who we serve
Regulated sectors, and anyone whose data or IP is the business. They digitalize under obligations that others do not carry, and today they pay for it in speed. Every software vendor selling into them inherits the same obligations.
Third-party and concentration risk are now regulated, not just managed. Every dependency needs an owner, a test and an exit plan.
DORA · Outsourcing rules · AI Act · NIS2Patient data and regulated medical software. Here the gap between what you think you have and what you have is a safety problem, not only a compliance one. Testing services carry the same duty: results that others act on.
MDR · IVDR · EHDS · NIS2 · AI Act · ISO 17025Design data and machine data are the IP. The Cyber Resilience Act turns product security into a legal obligation for everything that ships with software. The software embedded in the product carries the same obligation as the product itself.
CRA · UNECE R155 · Data Act · NIS2 · IP protectionEssential services under NIS2, with operational technology that cannot depend on suppliers nobody has vetted.
NIS2 · CER · AI Act · High-risk vendor rulesClassified data, export controls and national security rules leave no room for clouds or models they cannot inspect. Everything has to run inside.
Export controls · National security · EUCI · EASA Part-ISCitizen data, data residency and procurement rules. Software has to run where the state can see it, audit it and, if needed, take it back.
Data residency · Procurement · NIS2 · AI Act · eIDAS 2Vendors selling into regulated customers inherit their obligations: where the code runs, who can see the data, what the audit shows. The product has to be deliverable on the customer's terms, not only on yours.
Customer audits · ISO 27001 · NIS2 · DORA · Data ActCustomer and student data, brand and catalogue are the business. The systems that sell, serve and teach run on suppliers and models that have to stay under your control.
GDPR · Consumer protection · DSA · AI Act · Brand and IPRegulators, boards and procurement ask who controls the models, the data and the infrastructure behind every system. What regulated companies lack is not ambition or budget. It is a partner who delivers at speed inside those constraints, with the evidence written as the work happens and the whole chain running where they decide.
The platform
We built the platform to deliver our own work under continuous audit. Its products come inside your solution as components: already tested, already audited, and yours to own if you want them. As a whole or one at a time, hosted by us, in your cloud or on your premises. Select a figure to open its product; where each one stands is on its page.
Available as SaaS, PaaS, and on-prem deployments.
Isolated microVM Compute
Hardware-isolated microVMs that run untrusted code and leave nothing behind.
Secure execution capacity in Scaleway-hosted microVMs for AI-native software creation and controlled runtime boundaries. It is built for the work that needs a clean machine every time: testing and evaluation, CI and CD, and AI coding agents that have to be free to run anything without putting a shared host at risk.
Untrusted and AI-generated code executes safely, because nothing shares a kernel and nothing outlives its task.
Code Security
End-to-end application security, SAST and beyond, one click from your repository.
Static code security at a level web development has not seen: end to end, and at a more reasonable price than any competitor. Vauban is built for teams that have to keep their code inside their own infrastructure, or inside the borders of one country. It began because no such platform existed in France, or in Europe more widely, and it now runs the same way for any company, in any country, on infrastructure it owns.
A team that cannot let its code leave its own infrastructure still gets complete application security, with nothing given up for the constraint.
Policy, Architecture and Audit
Context, plans, governed access to models and audit evidence, decided before the work and proven after it.
Context super-management that turns company policy and architecture into detailed, checkable plans before delivery begins. Systems, decisions and standards are held as one connected memory behind those plans. Tzu also sits in front of every call to a model, keeps the secrets that call needs, and makes its cost visible, so governance, AI access and spend are answered in one place.
Every product delivers against a written rule, and the evidence that it did exists without anyone assembling it.
Systems, Data and AI Health Monitoring
Synthetic checks, database and AI key monitoring, public status signals and webhook alerts.
Information stewardship for systems and APIs: synthetic checks that exercise real endpoints, journey monitoring that follows a user through the whole web path, and public status signals your customers can read. It also watches what delivery actually depends on: database connection pools, backups and logs, with resize, backup and restore available as actions.
Degradation is seen and stated before customers are the ones reporting it.
Scenario and Agentic Simulation
Token forecasts, TCO ranges, VUCA scenarios and agentic simulations, deployable as an API.
Scenario simulation for decisions that are expensive to reverse: token consumption forecasts, total cost of ownership ranges, and purpose-built system dynamics models. It is built for a VUCA world, where the question is how a system behaves across volatile, uncertain, complex and ambiguous conditions rather than along one smooth trend.
Architecture and budget decisions are taken against modelled ranges rather than estimates.
Legal and Platform Control
Terms, rights, users and subscriptions, run headless as workflows rather than documents.
Headless legal workflows and terms management, with a legal and privacy ontology offered as a service, alongside a user service hosted in the EU. It holds product and user rights, entitlements and payment-provider-backed platform operations for everything the platform sells or grants.
What a user has agreed to, is entitled to and has paid for is one governed answer, not three systems.
Deterministic DevSecOps Workflow
Deterministic delivery over governed tools, models and CLI workflows.
Delivery that produces the same result from the same inputs, run over an approved set of tools, models and command-line workflows. It is for teams who need AI inside the pipeline without losing reproducibility or control of what actually ran.
AI-assisted delivery becomes reproducible engineering, auditable step by step.
Workstation Security
Security for secure software development starts at the workstation, where the code is written.
Security in a secure development lifecycle has to start at the workstation, on the machine where the code is actually written, not at the pull request. Nassau watches that machine for spyware and hostile traffic, runs SAST, SCA and SBOM locally before anything reaches the repository, and lets a team build and run its own security tooling on top.
The delivery chain starts from a workstation proven clean, not assumed clean.
Telemetry and Costs
Analytics, observability and cost measurement, with dashboards you ask for and get.
Analytics, observability and detailed usage reporting for everything the platform runs, with cost measured from the same records. It turns platform behaviour into operational proof rather than opinion.
Spend and behaviour are stated as measured fact, ready for an operational or financial review.
Application Foundry
Applications made, released and kept alive on one governed platform.
Richelieu makes applications. It manages their whole life: environments, deployments, artefacts and the DevSecOps lifecycle itself. The work underneath belongs to the other products, but a team never has to assemble them. Richelieu holds the state of every application, decides the order of the work, and calls each product at the point where its work belongs.
A team owns the whole life of its applications, from environments and releases to artefacts and maintenance, without assembling that discipline out of separate tools.
How we work
A squad of three to five with an engineering manager, a program team, or an audit that runs alongside your own people. The shape changes with the mission. The security chain and the evidence do not.
Experts exactly where demand outstrips supply, working inside your compliance and supplier constraints, alongside your teams.
A technology integration model built around partners, where they are needed and only there, so a program can grow without changing who answers for it.
Fixed price or time and materials. Transfer of ownership, annual license or SaaS. Every service can be delivered either way.
France, Germany, Italy, Spain, the Netherlands, Luxembourg, Sweden, Denmark, Finland, Norway, Switzerland, Austria, Belgium, the United Kingdom, Bulgaria, Croatia, Cyprus, Czechia, Estonia, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Poland, Portugal, Romania, Slovakia, Slovenia and Moldova.
Security, dependencies and compliance are part of how we work from the first day, not a review at the end: what the code does, what it depends on, and what the regulator will ask.
Next step
Connect, tell us what you need, and pick a slot in our calendar. The invitation reaches your inbox. If you would rather start from facts, ask for an assessment of one system.
The council behind the work
euphile is built by revzper. Engineers who want to see the audit first can try Tzu.
