IT services & development agencies
Extra delivery capacity and specialist skills for your client projects.
IT consulting & services
Engineering Software. Integrating Business Systems. Delivering Results.
Cydova helps businesses and technology partners build software, integrate enterprise systems and improve the way they deliver technology.
Who we work with
Built for teams that deliver technology
Whether you run client projects, integrate ERP systems, build a software product or need to connect the tools your business runs on, Cydova adds engineering capacity and specialist expertise where it matters.
Independent ERP integrators
Odoo development, custom modules, integrations and data migration for your ERP engagements.
Software vendors & B2B SaaS
API, connector and integration engineering to extend and connect your platform.
SMEs & growing businesses
Integration and automation of the systems you already use, from ERP to billing and beyond.
Technical teams
Specialist expertise or additional delivery capacity on a clearly defined scope.
Services
Three practices, each with its own focus
Cydova builds software, integrates and customizes enterprise solutions, and helps organizations adopt AI securely and assure the quality and security of their systems. Each practice addresses a specific need, and you can engage any one on its own.
Software practice
Software Engineering, Cloud & DevOps
The need: applications that have outgrown their architecture, releases that depend on manual steps, and delivery teams that need extra engineering capacity or specialist skills.
What you can expect
- Maintainable code and architecture decisions that are explained, not implied
- Repeatable, automated releases instead of manual deployments
- A documented handover your own team can own and evolve
Software development services
Full-stack development with Java and Spring, Python and Django, PHP (Laravel, Symfony), Angular, Next.js and Flutter, plus UI/UX design and API development for new products and existing platforms.
Cloud and software architecture
Software and cloud architecture, application modernization, and cloud environments on AWS (EC2, S3) and Azure (virtual machines), built to simplify delivery.
DevOps consulting
CI/CD with Jenkins, GitLab CI or GitHub Actions, automation with Ansible, containers with Docker and Kubernetes, infrastructure as code with Terraform, secrets with Vault, and monitoring with Prometheus and Grafana.
Software engineering outsourcing
Systems integration, technical assistance and project delivery for partner companies, on a defined scope.
Cloud migration and modernization
Assessment, target architecture and phased migration of applications to AWS or Azure, with containers or virtual machines, infrastructure as code and monitoring from day one.
Platform engineering and managed operations
Kubernetes-based platforms, observability and reliability practices, plus recurring operations and support within an agreed scope.
Collaboration
- Project-based delivery
- Managed technical services
- Technical consulting
- Technology partnership
Enterprise systems practice
ERP, Billing & Business Systems
The need: ERP and billing platforms that don’t match how the business actually operates, data stuck in disconnected tools, and integrations that are fragile or manual.
What you can expect
- Systems configured and extended around your real processes
- Data that moves between ERP, billing and your other tools
- Less manual re-entry, with processes automated where it makes sense
Odoo implementation and customization
Odoo implementation, configuration and customization, including development of custom modules and extensions.
ERP integration
API integration and interconnection of your ERP with the other business systems your teams depend on.
Billing system integration
Integration and customization of billing solutions such as OpenCell: OpenCell consulting and integration with your surrounding systems.
Migration and process automation
Data migration, process automation, and technical and functional consulting around enterprise systems.
E-invoicing readiness
Adapting Odoo, billing platforms and their integrations to produce, send and receive electronic invoices as requirements are phased in, with data checks and reconciliation.
AI for business systems
AI-assisted document processing, data entry and assistants connected to your ERP and billing data, with human review and your data kept within the boundaries you define.
Collaboration
- Project-based delivery
- Managed technical services
- Technical consulting
- Technology partnership
AI & assurance practice
Secure AI, Security & Quality
The need: organizations that want to adopt AI without exposing confidential information, customer data or intellectual property, and teams that need an independent view on the quality and security of their software.
What you can expect
- AI use cases scoped around your confidentiality and data protection requirements
- Clear, prioritized findings and recommendations after every audit or review
- Safeguards that are documented, so your team can maintain them
Secure AI integration
Integrating AI into your applications and workflows with access control, data minimization and logging, so sensitive data stays under your control.
AI on your own data
Assistants and automation built on your internal knowledge, designed so that permissions are respected and data stays within the boundaries you define.
AI governance and data protection
Practical rules and technical controls for responsible AI use: what data may leave, who can use what, and how usage is logged and reviewed.
AI adoption for engineering teams
Safe use of AI coding assistants: guidelines, guardrails and review practices that protect source code, secrets and customer data.
Code review and quality audits
Independent code reviews and audits of architecture, maintainability and test strategy, with prioritized, actionable findings.
Security audits and DevSecOps
Security reviews of code, dependencies, configuration, infrastructure and delivery pipelines, plus security checks built into CI/CD.
Security and compliance readiness
Technical support to prepare for security and data-protection requirements such as NIS2 and GDPR: gap analysis, technical controls and documentation. This is technical support, not legal advice.
Technical due diligence
Independent assessment of a software product or platform for investors, buyers or leadership: architecture, code quality, security posture and technical risks.
Training and workshops
Hands-on workshops for engineering teams on DevOps, secure use of AI, code review and cloud practices, adapted to your stack.
Collaboration
- Project-based delivery
- Managed technical services
- Technical consulting
- Technology partnership
Ways to work together
Engagement models that fit the work, not the other way around
Cydova is not limited to time-and-materials staffing. Choose the model that matches your scope, your team and how much responsibility you want to hand over.
Model 01
Project-based delivery
We take on a project or a functional work package with an agreed scope and defined deliverables: a new module, an integration, a migration, a CI/CD setup.
Model 02
Managed technical services
Recurring support for a system or platform: maintenance, evolutions and support within a scope we agree on together.
Model 03
Technical consulting
Architecture, integration and specialist expertise to guide technical decisions, review designs and unblock complex topics.
Model 04
Technology partnerships
Collaboration with IT services firms, integrators, development agencies and software vendors on shared projects and subcontracted work.
Find your starting point
What are you trying to achieve?
Pick a goal to see the capabilities, technologies and collaboration models that usually apply.
Relevant capabilities
Software development services · Full-stack development (backend, front-end, mobile) · API design and development
Typical technologies
- Java
- Spring Boot
- Python
- Django
- Laravel
- Symfony
- Angular
- Next.js
- Flutter
Usual collaboration
Project-based delivery, or technology partnership for subcontracted work.
Relevant capabilities
Cloud and software architecture · Application modernization · DevOps and CI/CD
Typical technologies
- Java
- Spring Boot
- Docker
- Kubernetes
- GitLab CI
- Terraform
Usual collaboration
Technical consulting to define the target, then project-based delivery.
Relevant capabilities
Cloud architecture · AWS and Azure environments · Infrastructure as code
Typical technologies
- AWS
- EC2
- S3
- Azure
- Azure VMs
- Terraform
Usual collaboration
Technical consulting, then project-based delivery, with managed services for operations.
Relevant capabilities
DevOps consulting · CI/CD pipelines · Monitoring and observability
Typical technologies
- Jenkins
- GitLab CI
- GitHub Actions
- Ansible
- Docker
- Kubernetes
- Terraform
- Prometheus
- Grafana
Usual collaboration
Technical consulting or project-based delivery, with managed services for ongoing operations.
Relevant capabilities
ERP integration · API integration · Interconnection of business systems
Typical technologies
- APIs
- Webhooks
- Kafka
- Odoo
- OpenCell
Usual collaboration
Project-based delivery, with managed technical services to run and evolve it.
Relevant capabilities
Odoo implementation and customization · Custom modules and extensions · Data migration
Typical technologies
- Odoo
- Python
- PostgreSQL
- APIs
Usual collaboration
Project-based delivery, managed technical services, or partnership with ERP integrators.
Relevant capabilities
Billing system integration · OpenCell consulting and integration · Process automation
Typical technologies
- OpenCell
- APIs
- Webhooks
- Data migration
Usual collaboration
Technical consulting, then project-based delivery of the integration.
Relevant capabilities
Technical consulting · Architecture review · Roadmap definition
Typical technologies
- Architecture review
- Audit
- Roadmap
Usual collaboration
Technical consulting, with the option to continue into delivery.
Relevant capabilities
Secure AI integration · AI governance and data protection · AI adoption for engineering teams
Typical technologies
- AI integration
- RAG
- Access control
- Vault
Usual collaboration
Technical consulting to scope the use case and its risks, then project-based delivery.
Relevant capabilities
Code review · Quality audits · Security audits and DevSecOps
Typical technologies
- Code review
- Security audit
- DevSecOps
- Architecture review
Usual collaboration
Technical consulting: a defined audit with prioritized findings, then follow-up support if needed.
Relevant capabilities
E-invoicing readiness · ERP integration · Billing system integration
Typical technologies
- Odoo
- OpenCell
- APIs
- Data migration
Usual collaboration
Technical consulting to assess the gap, then project-based delivery.
Relevant capabilities
Security and compliance readiness · Security audits · DevSecOps
Typical technologies
- Security audit
- DevSecOps
- Vault
- Code review
Usual collaboration
Technical consulting: gap analysis and prioritized actions, then optional delivery support.
Relevant capabilities
Courses and workshops · Certification preparation (cloud, DevOps, security, Agile) · Mock exams and coaching
Typical technologies
- OCP
- AWS
- Azure
- Kubernetes
- Security
- Scrum
- PSPO
- Agile
Usual collaboration
Courses, workshops and coaching sessions, for individuals or teams.
Relevant capabilities
IT career roadmap · Young graduates and career changers · Upskilling for every profile
Typical technologies
- Career roadmap
- Coaching
- Practical projects
- Interview preparation
Usual collaboration
Coaching sessions and learning paths, for individuals or teams.
Training, certification & career coaching
Train your teams, prepare certifications and grow IT careers
Courses, workshops and coaching for engineers, teams and newcomers to IT: from fundamentals to exam readiness and career direction, with practice, mock exams and detailed corrections along the way.
Our areas of expertise
- Cloud
- Development
- UI/UX
- DevOps
- Consulting
- Architecture
- Secure AI
- Security
- Code quality
- E-invoicing
- Training
Software Engineering, Cloud & DevOps
Development
Full-stack development across backend, front-end and mobile: business applications, APIs and data-driven services.
- Java
- Spring Boot
- Python
- Django
- PHP
- Laravel
- Symfony
- Node.js
- Angular
- Next.js
- React
- TypeScript
- Flutter
- PostgreSQL
UI/UX
Interface and user-experience design for business applications and products, so they stay clear to use and consistent as they grow.
- UI design
- UX design
DevOps
CI/CD, automation, containers, infrastructure as code and monitoring: delivery pipelines that are repeatable and observable.
- CI/CD
- Jenkins
- GitLab CI
- GitHub Actions
- Atlassian
- Ansible
- Docker
- Kubernetes
- Terraform
- Vault
- Prometheus
- Grafana
Cloud
Cloud migration and environments on AWS and Azure: compute, storage and virtual machines, designed to be reproducible.
- AWS
- EC2
- S3
- Azure
- Azure VMs
- Cloud migration
Architecture
Software and cloud architecture, solution and API design, and modernization of systems that have outgrown their original design.
- Software architecture
- Cloud architecture
- API design
- Modernization
- Migration
Consulting
Technical consulting on architecture, delivery processes and technology choices, from audits and reviews to roadmaps.
- Audit
- Architecture review
- Technology choices
- Roadmap
- Fractional CTO
Platform & reliability
Kubernetes-based platforms, observability and reliability practices, and managed operations that keep systems healthy over time.
- Platform engineering
- Kubernetes
- Observability
- Managed operations
Training & workshops
Hands-on workshops and training for engineering teams on DevOps, secure use of AI, code review and cloud practices.
- DevOps
- Secure AI
- Code review
- Cloud
ERP, Billing & Business Systems
ERP
Odoo implementation, configuration and customization, and development of custom modules and extensions.
- Odoo
Billing
Integration and customization of billing solutions, connected to the rest of your systems.
- OpenCell
Integration & automation
Interconnection of business systems, data migration and process automation.
- APIs
- Webhooks
- Kafka
- Data migration
- Process automation
E-invoicing
Making ERP and billing platforms ready to produce, send and receive electronic invoices, with data checks and reconciliation.
- E-invoicing
- Odoo
- OpenCell
- APIs
AI for business systems
AI-assisted document processing and assistants connected to ERP and billing data, with human review and controlled data access.
- AI integration
- Document processing
- Odoo
- APIs
Data migration & quality
Migration, cleansing and reconciliation of business data between systems.
- Data migration
- Data quality
- Reconciliation
AI, Security & Quality
Secure AI integration
Integrating AI into applications, workflows and engineering teams while protecting confidential information, customer data and intellectual property.
- AI integration
- LLM applications
- RAG
- AI guardrails
- Data protection
Security audits
Security reviews of code, dependencies, configuration, infrastructure and delivery pipelines, with security built into CI/CD.
- Security audit
- Secure code review
- DevSecOps
- Secrets management
Code review & quality
Independent code reviews and quality audits covering architecture, maintainability and test strategy, with prioritized recommendations.
- Code review
- Quality audit
- Test strategy
- Maintainability
Compliance readiness
Technical support to prepare for security and data-protection requirements such as NIS2 and GDPR (technical, not legal advice).
- NIS2
- GDPR
- Gap analysis
- Technical controls
Technical due diligence
Independent assessment of a product or platform for investors, buyers or leadership.
- Architecture
- Code quality
- Security posture
- Technical risk
Fractional CTO & advisory
Part-time technical leadership and advisory for teams without a full-time technical lead.
- Fractional CTO
- Technology strategy
- Roadmap
Cloud & software architecture
Built as systems, not just software
Select a layer to see how Cydova approaches it. Every layer is designed with clear boundaries and responsibilities, so the system stays easy to reason about as it grows.
User-facing interfaces that stay clear and consistent as features are added. Component structure and state management are chosen to match the product’s complexity, not the other way around.
Business logic and APIs, organized around clear boundaries and responsibilities. Each service owns its data and its rules, which keeps changes contained instead of rippling across the system.
Persistent and cached data, modeled to stay consistent as the system grows. Schemas and access patterns are designed up front, not patched in after performance issues appear.
Connections between systems through APIs, webhooks and messaging, so components that don’t need to wait on each other, don’t. This keeps a failure in one system from cascading through the others.
Cloud infrastructure and deployment, designed to be reproducible. Environments are defined as code, so scaling or rebuilding doesn’t depend on manual steps.
Metrics, logs and monitoring, built in from the start rather than added after an incident. Issues become visible early, before they affect users.
Access control, secrets management, encryption and logging designed in from the start, including for AI components, so sensitive data and customer information stay protected.
Delivery doesn’t stop at deployment
DevOps consulting at Cydova covers the whole path from code to production, and the monitoring that keeps it healthy afterwards.
- Code
- Build
- Test
- Deploy
- Monitor
How we work
A clear process, every time
Every engagement starts with a conversation about scope, deliverables and the collaboration model, so expectations are shared before work begins.
-
01
Discovery
Understand the need, the existing systems and the constraints around them.
-
02
Scoping
Agree on scope, deliverables and the collaboration model that fits.
-
03
Architecture
Define the technical solution before writing code, and document the decisions.
-
04
Delivery
Build iteratively, with regular checkpoints and open communication.
-
05
Validation
Test quality and stability, and review the deliverables with you before release.
-
06
Handover & evolution
Ship with a documented handover, then maintain and evolve the system based on your priorities.
Typical engagements
The kind of problems we take on
Illustrative scenarios showing how Cydova approaches common challenges. They describe the type of work we do, not specific client projects.
Application modernization
Problem
A legacy application that is hard to change and slows the business down.
Approach
Incremental modernization: a clearer architecture, containerized deployment and automated releases.
Typical technologies
- Java
- Spring Boot
- Docker
- Kubernetes
Delivery pipeline automation
Problem
Manual deployments causing delays and errors.
Approach
An automated build, test and deployment pipeline, with environments defined as code.
Typical technologies
- Jenkins
- GitLab CI
- Ansible
- Terraform
Cloud infrastructure as code
Problem
Servers and environments configured by hand, hard to reproduce and to audit.
Approach
Infrastructure defined as code, workloads on virtual machines or containers on AWS or Azure, and secrets managed centrally.
Typical technologies
- Terraform
- AWS
- Azure
- Vault
Monitoring and observability
Problem
Incidents discovered by users instead of by the team.
Approach
Metrics, dashboards and alerting built in from the start, across applications and infrastructure.
Typical technologies
- Prometheus
- Grafana
Odoo customization and integration
Problem
An ERP that doesn’t fit the company’s processes and doesn’t exchange data with other tools.
Approach
Custom modules and an API-based integration layer, with data migration where needed.
Typical technologies
- Odoo
- Python
- APIs
Billing platform integration
Problem
Billing data that has to be reconciled by hand between systems.
Approach
Integrating and customizing a billing platform such as OpenCell with the surrounding business systems.
Typical technologies
- OpenCell
- APIs
- Webhooks
Secure AI assistant on internal data
Problem
Teams want AI assistance on internal knowledge, but cannot send confidential or customer data to uncontrolled services.
Approach
An AI assistant connected to your documents and applications, with permissions respected, data minimization, access control and logging.
Typical technologies
- AI integration
- RAG
- Access control
Safe adoption of AI coding assistants
Problem
Developers use AI tools without clear rules, risking leaks of source code, secrets or customer data.
Approach
Usage guidelines, technical guardrails and review practices that keep source code and secrets protected.
Typical technologies
- AI guidelines
- Secrets management
- Code review
Security and quality audit
Problem
A critical application whose code quality and security posture nobody has independently assessed.
Approach
An independent review of code, dependencies, configuration and pipelines, with prioritized, actionable recommendations.
Typical technologies
- Code review
- Security audit
- DevSecOps
E-invoicing readiness
Problem
A company that must issue and receive electronic invoices as requirements are phased in, with an ERP that is not ready.
Approach
Adapting the ERP or billing platform and its integrations to produce, send and receive e-invoices, with data checks and reconciliation.
Typical technologies
- Odoo
- OpenCell
- APIs
AI-assisted document processing
Problem
Supplier invoices and business documents keyed into the ERP by hand.
Approach
AI-assisted extraction and validation feeding the ERP, with human review and your data kept within the boundaries you define.
Typical technologies
- Odoo
- AI integration
- APIs
Cloud migration
Problem
Applications running on ageing infrastructure that is hard to operate and scale.
Approach
A phased migration to AWS or Azure: assessment, target architecture, containers or virtual machines, then cutover and monitoring.
Typical technologies
- AWS
- Azure
- Docker
- Terraform
Training & certification
Train your teams and prepare for certifications
Courses, workshops and certification coaching for engineers and teams: from fundamentals to exam readiness, with practice, mock exams and detailed corrections along the way.
Courses
Structured courses on software, DevOps, cloud and agile practices, built around clear learning objectives.
Hands-on workshops
Practical sessions on your stack and use cases: Java and Spring, CI/CD, Docker and Kubernetes, Terraform, AWS and Azure, secure use of AI.
Certification preparation
Structured preparation for certifications in cloud (AWS, Azure), DevOps (Kubernetes, Terraform), Java (OCP), security, and Agile and product roles (Scrum Master, Product Owner): exam objectives, key concepts and exam technique.
Mock exams
Timed practice exams under realistic conditions, to measure your level and find the topics to reinforce.
Detailed corrections
Every exercise and mock exam is corrected and explained, so you understand the reasoning and not only the answer.
Coaching and review meetings
Regular one-to-one or group meetings to answer questions, review progress and adjust the study plan until you are ready.
Career coaching and upskilling
Practical guidance for people entering or moving forward in IT, whatever their starting point.
IT career roadmap
A personal roadmap: where you stand today, which IT paths fit you (development, DevOps, cloud, ERP, security, consulting) and the skills to build, step by step.
Getting started in the job market
Helping young graduates bridge the gap between school and the workplace: real-world engineering practices, how teams work and technical interview preparation.
Upskilling for every profile
Learning paths adapted to your starting point: beginners, career changers, experienced engineers, analysts and team leads.
Practical projects and feedback
Hands-on projects reviewed like real code, giving you concrete work to show and clear feedback on how to improve.
Profiles we support
- Young graduates
- Career changers
- Developers
- DevOps & cloud engineers
- Analysts & consultants
- Team leads & managers
Coaching supports your preparation and progress. It does not guarantee a job or a hiring outcome.
Preparation tracks
Cloud
- AWS (Cloud Practitioner, Solutions Architect, Developer)
- Microsoft Azure (AZ-900, AZ-104, AZ-204, AZ-305)
DevOps & containers
- Kubernetes (CKA, CKAD, CKS)
- Terraform Associate
- DevOps practices
Java & development
- Oracle Certified Professional (OCP) Java
- Spring Professional
- Python (PCEP, PCAP)
Security
- CompTIA Security+
- CEH
- CISSP
- Azure security (AZ-500)
Agile & product
- Scrum Master (PSM, CSM)
- Product Owner (PSPO)
- Agile (PMI-ACP, SAFe)
- ITIL
- PMP
Quality & testing
- ISTQB
Other tracks on request.
Who it is for
- Engineers preparing for a certification
- Teams that need to upskill on a technology or a practice
- Companies that want a tailored training programme
How a preparation works
-
01
Assess
We start from your level, your goal and your deadline.
-
02
Plan
A study plan with objectives, sessions and practice milestones.
-
03
Learn and practice
Courses, workshops and graded exercises with corrections.
-
04
Mock exams and review
Practice exams, detailed corrections and review meetings until you are ready.
Certification names and logos belong to their respective owners. Cydova is independent of the certification bodies and does not issue certifications; it helps you prepare for them.
Partners
Technology partnerships
Cydova works alongside IT services companies, development agencies, independent ERP integrators and software vendors that need additional delivery capacity or specialist expertise on a project.
- Subcontracted work packages and project support, with a clear scope
- Specialist skills in software engineering, DevOps, Odoo and billing integration
- Delivery aligned with your own project governance and communication
- Flexible engagement, from a single work package to a longer collaboration
How a partnership starts
-
01
Introduce your need
Tell us about the project, the technologies involved and your delivery constraints.
-
02
Define the work package
We agree on the scope, the deliverables and the collaboration model together.
-
03
Deliver and review
Regular checkpoints, direct technical communication and a documented handover.
Why Cydova
What you can count on when working with us
Principles that shape how we scope, build and communicate.
Technical quality
Architecture before unnecessary complexity, and engineering practices that keep systems maintainable.
Clear deliverables
A defined scope, milestones and documented technical decisions, so you always know what you are getting.
Open communication
Direct, regular and honest exchanges with your team, including when something does not go as planned.
Flexible engagement
One work package, a full project, a recurring service or a long-term partnership: the model adapts to you.
Business awareness
Technology choices aligned with your actual operational needs, not with what is fashionable.
Efficient execution
Focused delivery with automation where it pays off, from CI/CD pipelines to process automation.
About
An independent engineering partner for software and business systems
Cydova is an IT consulting and services company. We help businesses and technology partners build software, integrate their enterprise systems and improve the way they deliver technology.
Our vision is simple: technology work should be clearly scoped, well engineered and easy to hand over, whether it is a single integration or a complete system.
Clarity first
Clear scope, clear deliverables and clear technical decisions, before and during delivery.
Engineering discipline
Quality, automation and documentation are part of the work, not an optional extra.
Systems you can own
We build and integrate with the goal that your team can run, evolve and understand the result.
Contact
Discuss a project or a partnership
Share a few details about your need. We will get back to you by email.
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