Cloud platform for immune repertoire sequencing data analysis

About the project

ENPICOM is a bioinformatics software company based in the Netherlands. The company builds a scalable digital platform that provides the foundation of harmonised, actionable data necessary to operationalise AI (Artificial Intelligence). This platform enables scientists to intuitively navigate complex datasets, driving faster and more accurate insights across drug discovery and engineering workflows.

By empowering scientists to easily access and apply AI models for analysis and decision-making, ENPICOM helps pharma teams accelerate and de-risk biologics discovery pipelines, facilitating faster and more efficient development of breakthrough medicines.

We support ENPICOM with targeted engineering augmentation as they evolve and scale their SaaS (Software as a Service) platform for immunologists and antibody developers working with vast volumes of sequencing data.

What did our client need? 

With increasing adoption of the platform, ENPICOM sought a long-term engineering partner with deep BioTech domain expertise to help scale delivery capacity in specific areas, while keeping product ownership, technical direction, and architectural governance within ENPICOM’s internal team.

ENPICOM was looking for a partner who could contribute senior-level expertise and consistently high-quality implementation, aligned with ENPICOM’s roadmap and engineering standards.

How did we approach it? 

We supported ENPICOM’s engineering team on selected initiatives, working closely with their in-house bioinformaticians, UX, product, and engineering leadership to add capacity and specialist skills when required. Our role was to provide additional abilities while ensuring all work aligned with ENPICOM’s existing architecture, coding practices, and release processes.

Where appropriate, our senior engineers provided implementation support to help maintain consistency, scalability, and long-term maintainability across the platform.

Accelerating roadmap execution

The process started with clarifying requirements, user needs, and acceptance criteria with ENPICOM’s domain experts. From there, we supported the engineering effort to implement robust, scalable components that meet ENPICOM’s performance and reliability requirements, particularly in areas involving data-intensive processing and user-facing visualisation.

In the recent stages of the collaboration, we also provided additional engineering capacity to support ENPICOM in scaling workflow automation, tailored to individual client needs.

We collaborated using standard Agile practices and tooling and worked in a Kanban project management framework with daily stand-up meetings and synchronisation meetings for broader topics.

What have we delivered? 

Throughout the collaboration, our engineers provided targeted engineering support on specific areas of ENPICOM’s platform, focusing on scalability, performance, and maintainability.

Working primarily with Python, Rust, and TypeScript, we supported enhancements of high-performance data processing components, scalable APIs, and complex data visualisation layers designed to handle large immune repertoire datasets.

In addition to consistent engineering practices, code reviews, and architecture-aligned implementation, we’ve also provided ongoing technical consultations.

We continue to support ENPICOM with targeted augmentation and technical consultation focused on scalability, stability, and long-term evolution, while ENPICOM retains full ownership of product direction, architecture, and core IP.