Core contributor to MELODIC, MORPHEMIC, and AI-SPRINT — all focused on optimizing application execution across cloud, edge, and fog computing environments.
7BULLS.COM SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA
Polish IT SME specializing in multi-cloud orchestration, DevOps automation, and infrastructure-as-code tooling for distributed computing systems.
Their core work
7BULLS.COM is a Warsaw-based IT company specializing in cloud computing, DevOps automation, and software engineering for distributed systems. They build tools and platforms for multi-cloud orchestration, infrastructure-as-code, and application deployment across edge-to-cloud continua. Their work spans security auditing frameworks, self-healing infrastructure, and — more recently — system integration for photonic biosensors, suggesting strong software engineering capabilities that can be applied across domains.
What they specialise in
PIACERE focused specifically on IaC modelling languages and code generators; MORPHEMIC extended this into polymorphic resource orchestration.
BIECO addressed vulnerability management, risk analysis, and security certification harmonization; PIACERE included secure framework design with self-learning mechanisms.
PIACERE and AI-SPRINT both incorporated machine learning techniques and optimization algorithms for infrastructure management and privacy-preserving computing.
h-ALO project involved system integration and data management for a miniaturized photonic food-quality monitoring device — a departure from their cloud-native work.
How they've shifted over time
7BULLS.COM started in 2016 with large-scale cloud computing optimization (MELODIC) and moved into security-focused work around 2020, covering vulnerability management, risk analysis, and certification harmonization (BIECO). From 2020 onward, their focus shifted decisively toward DevOps automation, infrastructure-as-code tooling, AI-driven self-healing systems, and edge computing — while also branching into an unexpected domain with photonic biosensor integration (h-ALO). The trajectory shows a company deepening its cloud-native expertise while experimenting with applying its software engineering skills to hardware-adjacent domains.
Moving toward AI-augmented infrastructure management and privacy-preserving edge computing, positioning them well for next-generation cloud-native and IoT platform projects.
How they like to work
7BULLS.COM operates exclusively as a consortium partner — they have never coordinated an H2020 project but have participated in six, all under the Research and Innovation Action (RIA) scheme. With 56 unique partners across 16 countries, they are well-networked and comfortable working in diverse, mid-to-large consortia. Their consistent participant role and broad partner base suggest they are a reliable technical contributor that project coordinators bring in for specific software engineering capabilities.
Broad European network with 56 unique partners across 16 countries, built entirely through participant roles in RIA projects. This wide spread suggests they are a sought-after technical partner rather than a hub that builds its own consortia.
What sets them apart
7BULLS.COM combines deep cloud orchestration expertise with practical DevOps tooling — they don't just research distributed systems, they build deployment frameworks, code generators, and self-healing mechanisms. Their unusual move into photonic biosensor integration (h-ALO) demonstrates an ability to apply software engineering skills far beyond typical IT domains. For consortium builders, they offer a proven, flexible Polish SME that can handle the software architecture and cloud deployment layer of almost any technology project.
Highlights from their portfolio
- MELODICTheir largest project (EUR 988K) and first H2020 engagement — established their core identity in multi-cloud optimization for data-intensive computing.
- PIACEREMost technically distinctive project: created a DevOps Modelling Language and IaC code generator with self-learning and self-healing capabilities.
- h-ALOUnexpected domain crossover — a photonic food-quality biosensor project where they handled system integration and data management, proving versatility beyond pure IT.