Software Engineering

Tailored solutions for your business needs

From design to production, Sigilence Technologies develops robust, scalable software solutions tailored to your industry. Our expertise ensures seamless integration with your existing systems while upholding the highest quality standards.

Our commitment: we place rigor and efficiency at the heart of our software engineering. Every solution we develop is tested, proven, and optimized—your deadlines are our own.

We also leverage our expertise to address:

  • Your training needs: We share our know-how in software engineering to train your teams on the languages, practices and development tools they need.
  • Your recruitment needs: We identify software developers and architects capable of meeting your technical challenges and driving your projects to success.
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Our areas of expertise

Optimize your business processes, support your growth

We make it a priority to understand the specifics of your activity to deliver solutions perfectly aligned with your strategic objectives.

Our experience in software development integrates naturally with our other areas of expertise. We can develop in any context, and we know how to deploy and host the software we build—and much more.

All expertises

Languages

Choosing the right language for sustainable software

Our mastery of various languages allows us to select the best fit for your ideas, while also taking over and maintaining your existing projects.

Our tools: C++, Python, Rust, Java, C#, TypeScript, bash, R

Targets

Developing in line with the target environment

Whether it's embedded systems, industrial computing, high-performance servers, distributed computing, mobile or workstations, we design the appropriate architecture considering the deployment context.

Our tools: Embedded, Big-data, Web, API, Library, Linux, Windows, Mobile

Frameworks

Building on robust foundations

A well-chosen framework accelerates development. We select proven frameworks that meet performance and scalability requirements while ensuring long-term maintainability. Our approach: build a reliable and efficient technical foundation.

Our tools: OpenCV, Numpy, .Net, Torch/Pytorch, Django, React, Vue.js, Postgresql

Methods and principles

Controlled development from the first commit to deployment

Good software goes beyond functional code. It must be documented, tested, monitored, and scalable. Our methods ensure quality at every development cycle stage: CI/CD to minimize regressions, real-time monitoring to detect anomalies before they become critical, with particular attention to code readability and maintainability.

Our tools: Documentation, Continuous Integration, Monitoring, Code Quality, Testing, Code Coverage, Deployment Mastery, Agile

What sets us apart

Our software experts combine
agility and innovation

We don’t just develop solutions—we co-create tools with you that address the real challenges of your business. With a pragmatic mindset and advanced technical expertise, we turn your ideas into effective, long-lasting solutions.

Client-centric approach

Every project is tailored to your specific needs

Deep technical expertise

Our team is made up of seasoned and passionate developers

Responsiveness and agility

We focus on fast delivery through Agile project management

Constant innovation

Every project benefits from ongoing tech monitoring to integrate the latest advancements

Reliability and quality

We conduct thorough testing to ensure robust, ready-to-use solutions

Methodology

A rigorous methodology
Agile and DevOps-driven

For us, software development is applied science. Every step is meticulously orchestrated to ensure consistency, quality and sustainability. From design to deployment, we follow a strict methodology that blends strategic planning thorough testing and continuous monitoring. Every detail counts—because it's in the precision that lasting solutions are born.

6 Progressive Deployment Feedback • Use of progressive deployments (feature flags, canary releases) to minimize production risks. • Post-release metric collection and feedback integration into the next cycles via retrospectives and backlog refinement. 5 Software Quality Validation • Automated testing from the early stages (unit, integration, and functional tests). • Acceptance tests driven by stakeholders to validate each deliverable increment in production. 1 Preliminary Study • Requirements gathering through collaborative workshops involving end users, domain experts and technical teams from the start. • Creation of a structured, prioritized and flexible product backlog to align functional and technical goals. 3 Deliverable- Driven Agile Planning • Breaking down features into deliverable increments (user stories) with clear acceptance criteria. • Using frameworks like Scrum or Kanban to prioritize tasks based on business value and technical feasibility. 2 Iterative Design • Adoption of modular or microservices architecture to adapt to evolving needs. • Creation of concise, evolving documentation to support maintenance without burdening the project. 4 Development Continuous Integration • Incremental development with feedback loops and regular demos to stakeholders. • Implementation of continuous integration to ensure each code change is tested and integrated into the shared codebase.
  • Requirements gathering through collaborative workshops involving end users, domain experts and technical teams from the start.
  • Creation of a structured, prioritized and flexible product backlog to align functional and technical goals.
  • Adoption of modular or microservices architecture to adapt to evolving needs.
  • Creation of concise, evolving documentation to support maintenance without burdening the project.
  • Breaking down features into deliverable increments (user stories) with clear acceptance criteria.
  • Using frameworks like Scrum or Kanban to prioritize tasks based on business value and technical feasibility.
  • Incremental development with feedback loops and regular demos to stakeholders.
  • Implementation of continuous integration to ensure each code change is tested and integrated into the shared codebase.
  • Automated testing from the early stages (unit, integration, and functional tests).
  • Acceptance tests driven by stakeholders to validate each deliverable increment in production.
  • Use of progressive deployments (feature flags, canary releases) to minimize production risks.
  • Post-release metric collection and feedback integration into the next cycles via retrospectives and backlog refinement.
Client cases

Real-world achievements
in software engineering

Explore concrete examples where our software engineering expertise met specific needs and supported our clients throughout their projects.

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