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Project Buendia Legacy Software Recovery & Technical Stewardship Executive Summary When Médecins Sans Frontières (MSF) needed Project Buendia - an offline Electronic Patient Record (EPR) system for outbreak treatment centres - the software had been dorman

In short Verizon runs scheduled speed tests against hundreds of Fixed Wireless Access devices at a time on vPIM, the network measurement platform we have built and operated with them since 2012. As the batches grew, only about 60% of tests produced a vali

Every time you install an app from the Atlassian Marketplace or monday.com Marketplace, you're placing a certain amount of trust in its creator. Will the app keep your data secure? Will updates break your workflows? How quickly will issues be fixed if som

AI Data Processing Custom Software Development In modern software development, AI coding tools like Claude Code, GitHub Copilot, and Cursor can dramatically accelerate feature delivery. However, without strict architectural guardrails, AI-generated code f

AI Data Processing Custom Software Development Overview The International Labour Organization (ILO), a specialized agency of the United Nations, needed a faster, more consistent way to process and act on a high volume of publicly available documents. The

Python Development Custom Software Development We are thrilled to announce our official partnership with Humane Intelligence, an organization dedicated to making AI systems safer, more equitable, and transparent. The Mission: AI Red Teaming As AI models a

Logistics Management Digital supply chain transformation requires a rare balance of global architectural rigor and local adaptability. We are proud to announce a partnership that sits at the heart of this challenge. The Global Alliance for Improved Nutrit

Late-stage defect discovery is a financial drain, not just a technical one. When testing is treated as a final gate rather than a continuous process, organizations pay a hidden tax in the form of high coordination costs, endless status meetings, and infla

It's easy to see why so many teams attempt to manage their entire Jira QA workflow using Jira only. Since Jira is already the source of truth for development, it feels like the path of least resistance. The platform natively supports the core pillars of a

Jira can support agile test management, but not every app does it the same way. And the effects become visible over time. It usually starts with a simple objective: the team wants better visibility into testing. Fewer gaps, clearer traceability, everythin