We design, build, and deploy custom enterprise software, artificial intelligence solutions, mobile applications, and web platforms. Four complementary specialties, delivered by a single multidisciplinary team in Mexico City. Integration across disciplines is what lets us solve real business problems without stitching together third-party pieces.
Each discipline has its own technical depth. The strength comes from combining them when a problem demands it.
Enterprise systems built from scratch and aligned with your processes: ERPs, CRMs, operations automation, and API integrations. We modernize legacy systems in Visual Basic, old .NET, and monoliths without stopping operations. All business logic is documented and the source code is 100% client-owned.
typical timeline: 4-16 weeks · source code: 100% client-owned
Explore →Machine learning models, natural language processing, and computer vision applied to concrete enterprise problems: demand forecasting, fraud detection, customer segmentation, and support automation. We also build data pipelines and business intelligence dashboards when the right decision starts with the right information.
typical ROI: 20-40% forecast accuracy gain · 70% reduction in support time
Explore →Native iOS and Android apps, cross-platform with React Native or Flutter, and Progressive Web Apps when they make sense. We integrate with existing backends (ERPs, CRMs, payment gateways) and publish on the App Store and Google Play. Sales force apps, field operations, and B2C experiences that get downloaded and stay installed.
context: 70% of digital traffic is mobile. Apps that get downloaded, opened, and stay.
Explore →Corporate sites, B2B e-commerce, customer and supplier portals, intranets, and SPA/SSR web applications. We build with a focus on performance (Lighthouse 90+), accessibility (WCAG 2.2 AA), and clear information architecture. Each project integrates dashboards and back-office when needed.
performance target: Lighthouse 90+ · accessibility: WCAG 2.2 AA
Explore →Not every problem is solved with custom software. Before quoting, we evaluate when each discipline makes sense and when it doesn't.
Before proposing to build anything, we validate that the bottleneck is genuinely technological. Many operations improve by redesigning the flow before automating it. If the process isn't clear, no system is going to fix it.
If the need fits into an existing product (HubSpot, Odoo, Monday) and scale doesn't punish you per-seat, it's almost always faster and cheaper to adopt it. We recommend not building when it isn't necessary.
When operations have rules no SaaS models well, when the required integrations don't exist, when SaaS per-user cost chokes you as you scale, or when the process is part of your competitive advantage. That's where custom software fits.
In AI projects, we first audit the quality and volume of available data. If data doesn't exist or is dirty, no model will deliver results. We start by building the right data pipeline before talking about models.
We pick the stack based on the problem, not the trend. These are the languages, frameworks, and platforms we know inside out.
Each service has its own page with details, sub-services, and cases. If you'd rather jump to the diagnosis, schedule a call directly and we'll tell you exactly what to build, how much it costs, and how long it takes.