DaCodes

Software for businesses, start-ups and governments from Mexico

DaCodes is a software development company in Mexico. It builds digital products for private companies, start-ups and public bodies. The firm counts more than 250 people among its DaCoders, a term it uses for its engineers and designers, and reports over 900 launches across 18 industries. The firm presents itself as a partner for the whole path of a product, from planning and design through to continuing improvement, with a focus on AI, software and digital innovation.

Three ways of working with the firm

The company groups its offer around how a client wants to buy engineering time. A fixed-scope project is a defined build with predetermined costs and a structured timeline, and the firm asks for a discovery phase first so that the project's requirements are understood before work starts. Dedicated teams are full-time developers who join the client's processes and become an extension of its own staff for the length of the work. Talent augmentation adds specialists to a client's existing team for as long as a project needs them.

AI, data and intelligent agents

The AI work spans building data pipelines and architectures, training machine learning models and shipping generative AI applications, with a stated focus on governance, performance and usability. A separate line builds intelligent agents that can reason, take actions and connect with a client's systems to carry through complex processes from start to finish. The data work includes building a data warehouse that carries information through a client's operations.

UI/UX design, engineering and testing

UI and UX designers produce the wireframes and interfaces for a product, and the firm says its designs are grounded in technical foundations. Its engineers cover frontend and backend work on whatever stack a project needs, and its testing service combines automated and manual quality assurance to check that a product works for its users.

Work the site describes for named clients

One case study describes a platform for strength-training athletes, which lets them connect with their coaches, follow training plans and see their progress; it was built with Node.js, Python, React and Django. A second is a fan-fiction platform designed mobile-first so that the stories stay at the centre, with authors and readers sharing one space; its listed stack includes iOS, JavaScript, Android, .NET and Node.js. A third describes a squad of data engineers building a data warehouse for KAVAK, a Mexican company the site calls a software unicorn, alongside a full-stack squad working on other parts of the product. Further published work includes quality assurance for a fintech company's credit service, data analytics and quality assurance for Healthcare.com, and a modernisation of legacy systems for a telecom supply chain company, which the firm says improved its efficiency.