Blog
Engineering, AI and the projects behind them
Practical writing on custom AI, RAG, healthcare and BIM software, mobile and web development — and case studies from our own work.
- HealthcareHealthcare
Healthcare Software Development in Europe: GDPR, MDR and the AI Act
Europe stacks several regimes on top of GDPR. Here is how MDR, the AI Act, the European Health Data Space, DiGA and DTAC shape healthcare software in 2026.
7 min read
- AI
A Lightweight AI Governance Model for Growing Companies
Your teams are already using AI. Governance is how you keep that safe and useful without creating a committee that blocks everything.
5 min read
- Engineering
Custom Software Development: A Practical Buyer's Guide
Commissioning custom software for the first time? A plain guide to build vs buy, discovery, pricing models, team shape and what a good software company hands over.
5 min read
- AI
AI in BIM: Practical Uses for Building Information Models
BIM models hold enormous amounts of structured data that teams rarely have time to use. Where AI genuinely helps, from model checking to asking a model questions in plain language.
5 min read
- Case studies
Building Cardly: React Native, Expo and Supabase
Cardly replaces the paper business card with one you never reprint. Here is how we built the mobile app, the scanner, the widgets and the web side.
6 min read
- Healthcare
Healthcare Software Development in the USA: HIPAA, FHIR and AI
HIPAA is only the start. A practical map of the US rules that shape healthcare software in 2026, from FHIR mandates to FDA's view of clinical AI.
6 min read
- Engineering
How We Structure NestJS, Prisma and PostgreSQL Backends
Our default backend stack is NestJS on PostgreSQL, with Redis for queues and caching and Elasticsearch for search. Here is how we structure it and why.
5 min read
- HealthcareHealthcare
Healthcare Software Development in Qatar: An Engineering Guide
Qatar's health system is centrally planned, already digitised and investing in AI. Here is what a software team has to design for before writing the first line of code.
6 min read
- Product
ESG Data and AI: Building Sustainability Features That Last
Sustainability data is messy, incomplete and increasingly scrutinised. AI helps make sense of it, if the product is honest about what the data can say.
5 min read
- AI
LLM Agents in Production: Tools, Guardrails and Evaluation
Agents that call tools and take actions are powerful and fragile. The engineering practices that keep them safe, measurable and affordable in production.
5 min read
- Engineering
BIM Software Development: IFC, Revit APIs and Web Viewers
IFC parsing, Revit add-ins, browser model viewers and data pipelines — what building software for BIM involves, and where AI earns its place.
5 min read
- Product
Building Integrations and Plugins for SaaS Marketplaces
An integration listed in a well-known marketplace can bring users to your product. Building one that survives API changes and review processes takes some care.
5 min read
- AI
What an AI Consultancy Should Actually Deliver
An AI consultancy is worth hiring when it leaves you with working software and a team that understands it. What to expect at each stage, and what to be wary of.
5 min read
- Mobile
Mobile App Engineering: What It Is and Why It Matters
Anyone can assemble screens. Mobile app engineering is the discipline that keeps an app fast, secure and maintainable as it grows from launch to its third year.
5 min read
Case studiesSumus: AI Product Discovery for Sustainable Fashion
Scan a garment, see its ESG footprint, compare brands. A look at the AI pipeline we built for Sumus and the decisions that kept it honest.
5 min read
- Healthcare
Machine Learning for Prioritisation in Healthcare Services
Some of the safest, most useful AI in healthcare does not diagnose anything. It helps busy teams decide which request, referral or patient to look at next.
5 min read
- Healthcare
Building HIPAA- and GDPR-Compliant AI for Healthcare
Compliance is a design input, not a final review. The architectural decisions that make healthcare AI defensible under HIPAA, GDPR and the EU AI Act.
5 min read
- Product
Scaling Your MVP After a Seed Round: What to Do First
A seed round changes the engineering job. The MVP proved the idea; now it has to handle real users, real load and a bigger team without stalling.
5 min read
- Case studies
Ealthiness: Building an AI Health App in React Native
Mood, sleep, meals and movement in one app, an AI trainer you can talk to, and coaches, doctors and psychologists behind it. How Ealthiness is built.
6 min read
- AI
AI Agent, Workflow or Script? Choosing the Right Automation
The word agent now covers everything from a cron job to an autonomous system. Naming what you actually need saves money and avoids fragile software.
5 min read
- Healthcare
How to Implement AI in Healthcare Safely
AI in healthcare succeeds on trust, not model size. A practical approach to choosing use cases, protecting data, validating output and fitting AI into clinical workflows.
5 min read
- ProductProduct
From MVP to Scale: Building a Product You Won't Rewrite
An MVP should test your riskiest assumption quickly, but the code that proves the idea should also be the code you grow. Here is how we balance the two.
5 min read
- Case studies
Digital Arrow: Building an HR and Recruiting Platform
One workspace for the hiring lifecycle: CVs, async video interviews, timesheets, contracts and invoices. Here is how the platform is put together.
5 min read
- AI
Open-Weight LLMs: When Self-Hosting Makes Sense
Open-weight models have become good enough for many production tasks. Whether you should run one yourself depends on data, volume and your team.
5 min read
- AI
Custom AI Development vs Off-the-Shelf AI Tools
Off-the-shelf AI tools solve common problems well. Custom AI earns its cost when the value sits in your data, your workflow or your product. Here is how to tell the difference.
5 min read
- Engineering
How to Scale a Node.js Application Without a Rewrite
Most Node.js scaling problems are not Node problems. Here is the order we work through when an API starts slowing down under real traffic.
5 min read
- Engineering
AI Coding Assistants in a Delivery Team: An Honest View
AI tools write a lot of code now. Whether that makes a team faster depends on review, tests and how clearly the work was defined in the first place.
5 min read
- Engineering
Next.js for Enterprise Web Development: A Practical Guide
Rendering choices, multi-country i18n with Arabic RTL, SEO, performance and auth — how we approach Next.js for enterprise sites.
5 min read
- AIAI
RAG Development: Building Retrieval That Holds Up in Production
Retrieval-augmented generation is easy to demo and hard to run. Here is how we design RAG systems that stay accurate, secure and affordable once real users arrive.
5 min read
- Mobile
Building Great React Native Apps with Expo in 2026
React Native with Expo is a sensible default for most mobile products in 2026. Here is how we structure, optimise and ship apps that feel native on iOS and Android.
5 min read
- AI
How to Choose an LLM: Testing Models on Your Own Data
Benchmarks tell you which model is good in general. Your product needs to know which one is good at your task, at your cost, on your data.
5 min read
- AI
The EU AI Act for Product Teams: A Practical Reading
The EU AI Act is now part of building software for European users. Here is a practical reading for product and engineering teams, not lawyers.
5 min read
- Engineering
AI-Assisted Legacy Code Migration: What Actually Works
Language models can translate code quickly. Migrating a system safely is a different job. Here is how we combine the two without betting the business on it.
5 min read
