GIS and data platform for Latin American enterprise information systems
Servinformación builds geographic information systems and data infrastructure for enterprise clients across Latin America, built on a hybrid GCP-AWS-Azure stack with Python, SQL, and orchestration tools (Cloud Composer, Dataflow, BigQuery). Active projects in ML and cybersecurity, paired with rising costs and pipeline reliability challenges, indicate a shift toward more sophisticated data engineering — while sales hiring (5 roles) outpaces engineering (2 roles), suggesting growth-stage expansion into new verticals or regions rather than platform-only scaling.
Founded in 2000 and headquartered in Bogotá, Servinformación delivers geographic information systems, databases, and data collection projects to industrial and public-sector clients. The company specializes in georeferencing, census mapping, routing, and location intelligence, powered by cloud infrastructure (Google Cloud, AWS, Azure) and modern data tools (BigQuery, Looker, Power BI). Operations span Colombia, Mexico, Panama, El Salvador, and Chile, with 201–500 employees. Core challenges include managing hybrid cloud costs, maintaining reliable data pipelines, and operationalizing advanced ML and cybersecurity capabilities.
Google Cloud (BigQuery, Dataflow, Cloud Composer, Cloud SQL), AWS (RDS, VPC, IAM, CloudWatch), and Azure. The company also integrates Google Maps and Google Drive for mapping and collaboration workflows.
Active projects include machine learning implementations, cybersecurity initiatives, and data pipeline optimization. Key operational challenges are optimizing cloud costs, ensuring pipeline reliability, and managing hybrid cloud environments at scale.
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