Solutions
Success stories
Virtual AI agent for optimizing health evaluations
The project uses AI to evaluate medical exams with precision, reducing errors. It is based on AWS, OpenAI, and Serverless in the cloud.
AI predictive model for public procurement
Arkkosoft implemented the Public Procurement Observatory for a government entity, integrating BI with Azure Power BI and WordPress. It then developed AI models using Azure Machine Learning to analyze procurements and optimize decision-making.
Perforce – Video Games Version Control System
Arkkosoft collaborated with a client to optimize their CD/CI infrastructure, improving the management of billions of transactions and files in the gaming and semiconductor industries. By implementing Helix Core, Arkkosoft achieved a scalable and high-performance solution, configuring proxies and developing custom extensions to facilitate system administration. This partnership ensured smooth connectivity and real-time network performance, enabling globally distributed teams to efficiently manage complex assets.
Technical Support
News
The Agent Economy: when AI manages Its own money
AI agents are evolving into a new phase with the ability to act economically thanks to blockchain. They can now operate wallets, execute payments, interact with smart contracts, and manage assets without direct human intervention. This removes barriers from the traditional financial system, where they were not recognized as entities. New infrastructures are emerging, such as wallets designed for machines, temporary permissions (EIP-7702), and automated machine-to-machine payments. Real-world use cases already exist in DeFi and decentralized identity systems. However, risks remain, including key security, fraud, latency, and regulatory gaps. This convergence is redefining the financial system by enabling software to act as an autonomous economic agent.
Multi-Agent Architecture for BIAN and Composable Banking
Multi-Agent architecture enables the effective implementation of BIAN (Banking Industry Architecture Network) principles by introducing an intelligent layer that orchestrates the bank’s Service Domains. Artificial intelligence agents interpret requests from customers or employees, identify intent, and coordinate interactions with banking capabilities exposed through APIs, while keeping the experience, business, and data layers decoupled. This approach also enables Composable Banking, where capabilities are built as independent services that can be dynamically combined to support different customer journeys, allowing banks to build more modular, scalable, and service-oriented platforms.
Enterprise AI in Costa Rica: from experimentation to competitive advantage
AI in Costa Rica has evolved from experimentation to a strategic priority. The challenge is no longer testing tools, but generating measurable impact. With strong leadership, reliable data, and integration into key processes, AI moves beyond pilot projects and becomes a sustainable competitive advantage.
Partners
