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Where software failures are expensive.
We focus on sectors where reliability, security and traceability are not optional: finance, life sciences and manufacturing. The same engineering discipline applies to logistics, SaaS and demanding technology products.
- 01Financial ServicesSecure, auditable Java systems for banks, wealth managers, asset managers, payment platforms and insurers, from core integrations to AI-assisted operations.
- Core banking, custody and portfolio systems that are hard to change and expensive to test
- Integrations with banks, payment providers, market data and custodians that fail silently
- Reconciliation breaks and manual workarounds that cost time every day
- 02Pharmaceuticals & Life SciencesReliable data platforms, laboratory software and integrations for pharmaceutical and life sciences companies, built with data integrity and regulated workflows in mind.
- Data spread across laboratory systems, ERP, spreadsheets and analytics tools
- Integrations with instruments, LIMS and ERP that break with every upgrade
- Analytics platforms that are slow, hard to extend or depend on a single person
- 03Manufacturing & Industry 4.0Integration, data and software engineering for manufacturers: MES and ERP integration, machine data backends, quality systems and practical AI on the shop floor.
- Production, ERP and quality systems that do not talk to each other
- Machine data collected but not used, or used through fragile scripts
- Custom software written years ago that only one person can maintain
Tell us about your system.
Describe the challenge in a few lines: a platform to modernize, an incident that keeps coming back, a security finding, an AI idea. We reply personally, usually within two working days.