Xertica.ai is a consulting firm built around generative AI and cloud infrastructure, operating across seven Latin American countries plus the US. The tech stack spans all three major cloud providers (GCP, AWS, Azure) alongside AI/ML infrastructure (TensorFlow, Vertex AI, RAG), paired with heavy adoption of automation testing (Playwright, Robot Framework) and quality-assurance frameworks (Ragas, DeepEval) — a mix suggesting they're both building and validating AI-driven customer solutions at scale. Active hiring in engineering and sales across multiple geographies, combined with projects around MLOps deployment and fair-AI governance, indicates the firm is moving beyond implementation services into productized AI offerings.
Xertica.ai delivers generative AI consulting, cloud infrastructure design, and implementation services to enterprise, mid-market, and government clients across Latin America and the US. The client base spans retail, finance, CPG, digital natives, and public sector — roughly 90 enterprise accounts, 600 mid-market customers, 110 government institutions, and 2,000 SMBs. The company operates from Mexico City and runs regional teams in Colombia, Peru, Argentina, Brazil, Ecuador, and Chile. Founded in 2016 and now 250+ employees, the firm frames its approach around responsible AI implementation that emphasizes reducing algorithmic harm alongside business acceleration.
GCP, AWS, and Azure. Infrastructure-as-code tooling includes Terraform and CloudFormation. Data layers span SQL, Apache Spark, Python, and R, with visualization via Looker, Tableau, and Power BI.
Core projects include MLOps model deployment, cloud cost optimization, AI governance and fair-decision frameworks, sales process enablement, and high-impact model deployments on GCP. Internal pain points center on modernizing legacy infrastructure and improving early financial-risk detection.
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