Service

Software Development

Yameveo provides production-grade software engineering for companies that need reliability, security, and scale — building SaaS platforms, API layers, internal tooling, and data pipelines across backend, frontend, and infrastructure. We work in Python and React, handle everything from greenfield builds to legacy modernisation, and design systems to last and to grow. As an AI and cybersecurity engineering firm, we bring security thinking into the build rather than bolting it on afterwards.

What kind of software does Yameveo build?

We build SaaS platforms, API layers, internal tooling, and data pipelines — greenfield or as a modernisation of an existing system. Our team works end to end across backend (Python), frontend (React), and infrastructure, so a single team owns the architecture, the integration points, and the deployment rather than handing off between silos. This is the same full-stack integration discipline we apply on the VANTAGE EU cybersecurity project, where Yameveo leads WP5 and designs the APIs that connect the platform’s AI, incident-investigation, and vulnerability-assessment modules.

Can you modernise or take over an existing codebase?

Yes — legacy modernisation is a core part of what we do, from re-platforming an ageing application to carving a monolith into maintainable services and adding a clean API layer. We start by mapping what the current system actually does and where the risk sits, then modernise incrementally so the business keeps running throughout. Because we come from a security background, that assessment also surfaces the vulnerabilities and dependency risks that legacy systems tend to accumulate.

How do you build security into software from the start?

We treat security as an engineering requirement, not a final-stage audit — reviewing architecture, authentication and identity flows, dependencies, and data handling as the system is designed and built. This comes directly from our cybersecurity work: the same team that builds your platform also works on automated vulnerability assessment and penetration testing (VAPT) inside VANTAGE. For regulated industries, secure-by-design practices also support obligations under frameworks such as NIS2, the EU AI Act, and the Cyber Resilience Act.

Do you work with our existing team, or only on standalone projects?

We do both — we can deliver a project end to end, or embed alongside your engineers to add capacity, own a specific service, or provide architecture and integration leadership. Our founder, Enrico Aillaud, has worked for years as a technical lead with distributed international teams on architecture reviews and critical production issues, which is the model we bring to collaborative engagements. You can read more about his background on the Enrico Aillaud profile.

What technology stack do you use?

Our core stack is Python on the backend and React on the frontend, deployed on modern cloud and container infrastructure. We choose tools to fit the problem and the team that will maintain the system after us, rather than defaulting to whatever is fashionable. Where a project calls for AI features — LLM integration, retrieval-augmented generation, or agentic workflows — we build those on the same stack we use in our AI and cybersecurity R&D.

Frequently asked questions

Do you work with companies outside Bulgaria?

Yes. Yameveo EOOD is based in Burgas, Bulgaria, and works with clients across Europe; our engagement is remote-first, which is how we already collaborate with the VANTAGE consortium of 14 partners across 6 countries.

What size of company do you typically work with?

We work with companies that need reliability, security, and scale — typically CTOs and technical leaders at European SMEs and organisations in regulated sectors. We flag project-size specifics case by case rather than quoting a fixed threshold.

Can you add AI features to an existing product?

Yes. We integrate LLMs, retrieval-augmented generation, and agentic workflows into existing applications, using the same AI stack we apply in our cybersecurity R&D so the features are built on production-tested foundations.

Who owns the code you write?

Ownership and IP terms are agreed in the engagement contract. Our default engineering approach is to build systems your own team can maintain after us, with clean architecture and documentation.

Building a new platform, modernising a legacy system, or adding AI to an existing product? Discuss your software development project →