Case Study
Hígyrus, a back office platform for ALyCs and ANs (Agentes de Liquidación y Compensación and Agentes de Negociación — regulated brokers in the Argentine capital markets), ran on a monolithic architecture. Over the years it scaled significantly in users and operations, which concentrated operational risk and limited the ability to scale the business's core processes. Any change or incident in one module could impact the entire system, and the business's growth demanded an architecture able to scale in parts.
We began a process of continuous, structural improvements to the monolith, along with database tuning and query optimization, increasing performance without interrupting operations. In parallel, we started the architecture migration toward a distributed system, alongside a shift in the team's mindset.
Decoupling core processes previously concentrated in a single system reduced the platform's operational risk.
Business processes gained the ability to scale independently, without depending on the rest of the monolith.
Database tuning and query optimization improved performance without interrupting operations.
Nearshore means hiring a tech team in a country geographically and culturally close to yours — typically within 1–3 time zones. For US companies, that means Latin America. You get real-time collaboration, overlapping work hours, and engineers who operate in English, without the communication friction that comes with offshore teams 10+ hours away.
We're based in Argentina — UTC-3. That means 4–5 hours ahead of the US West Coast and 2 hours ahead of the East Coast. In practice, we maintain a daily overlap of 4–6 hours with most US-based teams, which covers standups, code reviews, and real-time problem-solving without anyone working at midnight.
Our work sits at the intersection of cloud infrastructure, application architecture, and AI. Concretely: cloud-native architecture design, infrastructure automation, platform engineering, data pipelines, and GenAI integration. We don't do generic cloud support — we build and run systems that need to scale.
Our primary depth is in AWS. We also work with Azure and GCP depending on the client's existing stack — the goal is always to work within your environment, not to push a preferred vendor.
Yes — and it's one of the problems we work on most. App modernization usually means one or more of the following: breaking a monolith into services, re-platforming to cloud-native infrastructure, replacing outdated dependencies, or improving the CI/CD pipeline so your team can ship faster. We start with a technical assessment before recommending any approach.
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