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REELIANT · Digital Engineering Workshop

Engineering trust.

Develop. Modernize. Maintain.

Designing and operating reliable services in living systems. We add new capabilities to architectures in production, without breaking what works.

Top 1% EcoVadis Platinum
40+ Regulated clients
100+ Services in production

Signals

The moments when engineering becomes decisive.

  1. The moment when a service must change scale

    The prototype works. But now it must hold the load, integrate the IS, trace usage, secure the RUN. Industrialisation is no longer optional.

    Ref. Development & AI
  2. The moment when the system starts slowing down

    Each release becomes a negotiation. Dependencies blur. Technical debt starts dictating the trade-offs, and the system's memory disperses.

    Ref. Modernization
  3. The moment when trust becomes a prerequisite

    New channels, signature, wallet, AI in production: it's no longer just about shipping fast. The system must remain operable three years from now.

    Ref. Digital trust
  4. The moment when compliance shapes the architecture

    AI Act, NIS2, eIDAS, PSD2: compliance can no longer be added afterwards. It becomes a design constraint, then an operating discipline.

    Ref. Trust Condition Maintenance (TCM)

Every critical transformation eventually becomes a matter of architecture.

What we do

Develop. Modernize. Maintain.

Continuous mastery of production systems and IS legacy.

REELIANT doctrinal architecture diagram Legacy and Modernized coexist at the centre, linked by Shadow and Rollback. New Services plug into the system's integration interface. Trusted Maintenance forms the foundation. Digital Trust frames everything transversally. DIGITAL TRUST · TRANSVERSE NEW SERVICES · AI · CYBER IS MODERNIZATION EXISTING IS EXTENDED CAPABILITIES SHADOW ROLLBACK TRUSTED MAINTENANCE (TCM) Observability · RUN · Security · Compliance

Three intervention modes

We adapt to your starting point.

§01

Quick diagnostic

Frame fast and decide right

In a few weeks, we map risks, clarify the trajectory, and propose an executable plan.

§02

Dedicated team

Design and deliver with accountability

A senior team equipped to build, modernize, and integrate without disrupting your operations.

§03

Piloted TCM

Sustain reliability over time

RUN, security, quality, and compliance steered with explicit criteria and readable governance.

Our standard

Digital trust by design.

Protect

Identity

Strong authentication, entitlement management and access control.

Security

Prevention, detection and response: from code to infrastructure.

Engage

Compliance

Regulatory framework treated as an architectural constraint.

Traceability

Signatures, commitments and transactions: tracked, timestamped and legally binding.

E-wallet EUDIW · E-KYC · Fraud · PKI · eIDAS Signature · Open Banking See how we apply it →

Our position

AI as a lever. Mastery as a condition.

AI experiments are multiplying. But deploying it in production in regulated environments is another matter.

You don't plug in an LLM without authentication, traceability and isolation in place.

Everything we build around it is software like any other. LLMOps, agents, workflows: same reviews, same processes, no shortcut just because it's labelled "AI".

How we approach AI & Cyber →

Production references

Services delivered and kept running over time.

A few recent examples in production.

Internal rule

Our final validation test is simple: would we be proud to use this tool ourselves? If the answer is no, we don't ship it.
Our internal rule

What we publish

Field notes and analyses.

  1. Evaluating an AI system: why accuracy is not enough

    An AI system cannot be judged on accuracy alone. In production, you also need to look at meaningful errors, decision thresholds, traceability, costs, and conditions for human escalation.

    Read article
  2. Generative AI in the enterprise: what the 2026 threat landscape changes for technical teams

    Generative AI is not only changing the threat landscape. It is also changing how teams need to think about architecture, connectors, permissions and usage governance. What technical teams actually need to frame in 2026.

    Read article
  3. Data breaches: why MFA is now the sine qua non of trust.

    Breaches keep coming, credentials keep circulating. In 2026, the right question is no longer how to protect your password: it is how to design authentication so that a stolen password has no operational consequence.

    Read article

Regain control of your system, and keep it.

A first conversation lets us quickly assess your context, risk areas and the most relevant trajectory, without aggressive sales pitch.