Digital Place — Engineering company

Information systems, data and artificial intelligence engineering.

We start with real decisions, workflows and constraints to design, integrate, secure and industrialize the systems that implement them.

02 / Our starting point

From business challenges to the systems behind them.

Decisions to inform, processes to strengthen, data to put to work, teams to equip. Our transformations take shape in concrete, integrated systems built for industrialization.

Clarity · Rigour · Results

Data, AI & Innovation leaders

Integrate data and AI into information systems, then make them usable and governable.

Explore Data and AI

IT services, integrators & partners

Bring in complementary engineering and delivery capabilities suited to your needs.

Discover Teams & Centers
  1. Understand
  2. Architect
  3. Build
  4. Secure
  5. Industrialize
  6. Evolve

03 / WHEN TO CALL US

Six situations, one objective.

Different contexts, one requirement: reliable, secure and evolvable systems.

View all situations

04 / OUR SIGNATURE

Engineering continuity.

From business context and decisions through to production: understand, architect, build, secure, industrialize and evolve without artificially separating information systems, software, data, automation and AI.

Security · Testing · Observability · Evolution

  1. 01

    Understand / frame

  2. 02

    Workflow & Decision Redesign where necessary

  3. 03

    Architect / design

  4. 04

    Build & integrate

  5. 05

    Secure, test & industrialize

  6. 06

    Deploy / observe

  7. 07

    Assure, maintain & evolve

06 / References & collaborations

Our references.

Organizations featured in Digital Place references, across different sectors and contexts.

All references

Tanger Med Port Authority

ANAPEC

ARGUMO

Association Raouabit Assadaka

Centre Hospitalier Universitaire Mohammed VI — Tanger

Near Assurances

Organisation internationale pour les migrations (OIM)

Organisation internationale du Travail (OIT)

08 / OUR ENGINEERING

Designing what must remain under control.

Code, rules, Data or AI: technical choices serve the system’s needs.

Discover our approach

Five principles

  1. Problem first

    Decisions, processes, users, data, constraints and responsibilities before tools.

  2. Workflow & Decision Redesign

    Redesign the flow where necessary: what remains human, what becomes deterministic, what can be assigned to an agent, and where validations and controls belong.

  3. Deterministic + probabilistic

    Code, rules, SQL, ML, LLMs, agents and workflows can coexist. Critical properties remain deterministic where they need to be.

  4. Production by design

    Security, performance, availability, scalability, CI/CD, observability, rebuilding and maintainability shape the architecture from the outset.

  5. Evidence before promise

    Tests, metrics, traces, acceptance criteria, Evaluation, Verification and regression testing provide evidence of quality.

Cross-cutting concerns

Open, controllable architecture

Cloud, hybrid or on-premises; open standards and open source where relevant; explicit dependencies, controlled data and reversibility.

Workflow governance

Ownership, versions, environments, secrets, policies, validations, traces and lifecycle are treated as production concerns.

Agentic Assurance & Control Engineering

Evaluate, verify, secure, govern, audit and observe agentic systems within a defined and controlled scope.

09 / CONTROLLED ECOSYSTEMS

Open, controlled environments.

We work from cloud to on-premises, from business software to Data platforms and AI systems, with the same requirements for integration, security, quality and production.

Open source

Open components where they meet the system’s needs.

Open standards

Formats and interfaces that make evolution easier.

Interoperability

Systems that can communicate with the existing information system.

Reversibility

Documented choices to evolve or transfer the solution.

Deployment modes

  • Cloud
  • Hybrid
  • On-premises
  • Cloud, hybrid & on-premises

  • Software Engineering & APIs

  • Data Engineering & Machine Learning

  • Workflow & Automation Engineering

  • Generative AI & agentic systems

  • Security · QA · DevSecOps · CI/CD · Observability

11 / LET’S TALK

Tanger · Paris

A system, workflow or decision to build, evolve or make more reliable?

Let’s discuss your challenge.

Discuss your project