Case Study
CyS's grain brokerage business was managed in a fragmented way, built on legacy systems and manual processes. The physical operation — deliveries, unloads, conditioning costs — and the client's financial position lived in separate places, with no platform tying them together.
We built a platform whose core manages the physical operation and the traceability of grain deliveries and unloads, with grain quality data — moisture, condition, and more — centralized right there. By centralizing the operation, we also consolidated the client's financial position and set up a self-service portal where the end client checks their account statement and receipts in one place. A middle layer decouples the platform from the source systems, which can be replaced without rebuilding it. We built it with Next.js, React, and TypeScript, with Prisma and Neon in the data layer, Clerk for authentication, and Tailwind on the frontend.
CyS moved onto a platform of its own, built around its grain brokerage business and its associated logistics.
The platform's core manages the physical operation and the traceability of grain deliveries and unloads, with quality data — moisture, condition, and more — centralized in the same place.
The end client checks their account statement and receipts in one place, with the financial position consolidated alongside the physical operation.
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.
© 2026 - Renaiss with love
