Software engineering company
Software built to be understood, run and extended.
AEVI GmbH designs and builds custom software, cloud infrastructure and data systems — with clear architecture, documented decisions and code your team can own.
The company
We are an IT company focused on the engineering work behind digital products and internal systems: the applications, infrastructure, integrations and data flows a business relies on every day.
Expertise
Areas of technical expertise
Application engineering
Backend services, APIs and front-end applications built with maintainable, typed codebases.
Cloud platforms
Infrastructure as code, containerised workloads, networking and environment management.
Integration
Connecting ERP, CRM, payment and in-house systems through APIs, queues and event streams.
Data & automation
Pipelines, reporting data models and workflow automation that remove manual steps.
Services
What we deliver
- Custom software developmentS/01
- Web application developmentS/02
- Cloud architecture and infrastructureS/03
- Systems integrationS/04
- Data engineering and automationS/05
- Technical consultingS/06
- Maintenance and supportS/07
Detailed descriptions: /services
Custom software
Built around your process, not a template
When off-the-shelf tools force workarounds, a purpose-built system can fit the way your organisation actually works. We model the domain first, then build software in small, reviewable increments.
- —Domain modelling and architecture
- —Incremental releases with working software
- —Automated tests and code review
- —Technical documentation handed over with the code
Cloud & infrastructure
Infrastructure that is reproducible and observable
We define environments as code so they can be recreated, reviewed and changed safely. Monitoring, logging and backups are part of the design rather than an afterthought.
- Provisioning
- Infrastructure as code
- Delivery
- CI/CD pipelines
- Operations
- Monitoring & alerting
- Resilience
- Backups & recovery plans
Data & automation
From scattered data to dependable workflows
Collect
Pipelines that move data from operational systems into a consistent, queryable store.
Model
Clear data models and definitions so reports mean the same thing to everyone.
Automate
Scheduled jobs and event-driven workflows that replace repetitive manual tasks.
Business challenges
Problems we are typically asked to solve
Legacy systems
Ageing applications that are hard to change, poorly documented or tied to outdated infrastructure.
Disconnected tools
Teams re-entering the same information across several systems that do not talk to each other.
Manual reporting
Reports assembled by hand from spreadsheets and exports, with inconsistent numbers.
Scaling pressure
Products that have outgrown their original architecture or hosting setup.
New digital products
Ideas that need a technical partner to move from concept to a working first release.
Operational risk
Systems without monitoring, backups or a clear owner when something fails.
Delivery process
How a project moves forward
- 01
Discovery
Understand goals, users, existing systems and constraints. Agree on what success looks like.
- 02
Architecture & plan
Propose a technical approach, milestones and priorities in writing.
- 03
Iterative build
Develop in short cycles, with regular demos of working software and room to adjust priorities.
- 04
Release
Deploy through automated pipelines with a rollback plan and documented configuration.
- 05
Operate & improve
Monitor, maintain and evolve the system based on real usage.
Engineering quality & security
Practices we apply on every engagement
Code review
Every change is reviewed before it is merged.
Automated testing
Tests run on each change in the delivery pipeline.
Least privilege
Access to systems and data is limited to what each role needs.
Secrets handling
Credentials are kept out of code and stored in managed secret stores.
Dependency hygiene
Third-party libraries are tracked and updated deliberately.
Documentation
Architecture decisions and runbooks are written down.
Observability
Logs, metrics and alerts make problems visible early.
Data protection
Personal data is handled with privacy requirements in mind from the start.
Collaboration principles
Working as one team with yours
- Transparency
- Progress, risks and trade-offs are shared openly and early.
- Shared ownership
- Your team gets access to code, environments and documentation throughout.
- Plain language
- Technical decisions are explained in terms of business impact.
- Sustainable pace
- We plan realistically and flag scope changes before they become surprises.
Illustrative image.
FAQ
Frequently asked questions
- What kind of projects does AEVI GmbH take on?
- Custom software, web applications, cloud infrastructure, systems integration, data pipelines and automation, plus technical consulting and ongoing maintenance of existing systems.
- Can you work on an existing codebase?
- Yes. Work usually starts with a review of the current code, infrastructure and documentation, followed by a written proposal for what to keep, improve or replace.
- How is the scope of a project defined?
- Through a discovery phase that clarifies goals, users, constraints and integrations. The result is a written scope with priorities and milestones that both sides agree on before development starts.
- Who owns the code and documentation?
- Ownership terms are agreed in writing for each engagement before work begins.
- How do we get started?
- Write to ali01287571067@gmail.com with a short description of your project, its current state and what you want to achieve.
Contact
Tell us about your project.
ali01287571067@gmail.com
AEVI GmbH · aevihub.com