ENBISYS

Dedicated engineering teams for fast-growing software projects

ENBISYS supplies outsourced software engineers, most often as a dedicated team embedded in a client's own product effort. Its material is aimed at IT companies, startups and enterprises that have a high-growth project and need technical capacity quickly. The team is based in the Netherlands, and its pitch is that a dedicated team is the fastest and most cost-efficient way to solve a technology challenge, with a lower risk of project failure.

Staff augmentation for IT companies

For IT companies that already have a product and a roadmap, ENBISYS offers staff augmentation. Its engineers can supply skills in development, QA and testing, data analytics, UX and UI design and machine learning, filling the gaps in a client's own team. The firm describes its approach as engineers who join a client's existing team, so that capacity grows as the project does.

Minimum viable products for startups

Startups are offered fast hypothesis testing and prototyping, built on Lean Startup principles, so that a product can reach the market in the shortest practical time. The approach is to test an idea with a working version before committing to a full build, which keeps early spending tied to evidence. This suits founders who need to find out whether a product works before they hire a permanent team.

Enterprise solutions and digital transformation

For larger organisations, ENBISYS says it helps enterprises speed up their digital transformation and offers integrated solutions designed for high performance, scalability, interconnectivity, robustness and customisation. Its enterprise work is framed around teams of seasoned software engineers who join high-growth projects and take on the technical load while the organisation keeps control of the product.

Sector work in education, health and machine learning

The company lists digital solutions for education technology, where it accelerates the roadmap for e-learning products, and for healthcare, where it helps take e-health products to the next level. Its AI and machine learning work builds algorithms that use a client's data to support business decisions. Its technology background also lists the IBM Q Network and the D-Wave 2000Q quantum system.

Technology stack and recognition

The technology stack named in its material includes Node.js, Yarn and npm, CSS3, LESS and Sass for front ends, and Spring and Java EE with JBoss WildFly and Apache Tomcat for back ends, with Gradle and Apache Maven as build tools. The firm cites a 2021 ranking by a review directory that placed it among the top B2B companies in Western Europe, and it also cites a listing among top machine learning and data science teams.