AI & DATA ENGINEERING
Accelerate your transition to the future
with AI agents and scalable data.
Evolve.
Build agentic AI systems that outperform in every task.
With nearshore AI developers that maximize your tech potential.
Transform.
Shape raw information into secure and high-quality datasets.
ETL & DATA TRANSFORMATION
Build ETL pipelines from multiple data sources, using AWS Glue, Azure Data Factory, Snowflake, BigQuery, dbt, Kafka, and more.
DATA VISUALIZATION
Turn complex data into business insights with custom dashboards and report. We build real-time, dynamic views using PowerBI and Tableau.
CLOUD AI ENGINEERING
Drive AI innovation by harnessing AWS Bedrock, Azure AI, OpenAI, Claude, combined with a secure and scalable stack of technologies.
APP MODERNIZATION
Modernize legacy systems and move workloads to the cloud. Our expertise includes on-prem to cloud migrations, API integrations, and data governance.
Clients.
We build long-term partnerships with industry leaders.
Leverage.
Deploy nearshore AI development teams in three steps:
Discover
Quantify the ROI of AI before you invest. Our team delivers a technical roadmap and cost breakdown to successfully adopt AI.
Implement
Deploy agentic AI systems and test use cases quickly. Design modular systems that deliver measurable results with zero hallucinations.
Scale
Expand your AI capabilities and governance. Optimize data pipelines and enable safer AI adoption across every layer of the organization.
FAQ.
Answers to every question you may have:
Why should I hire nearshore AI & Data Engineers from Latin America?
With Ewents, you get top AI and Data engineers working in your same time zone, at a fraction of the cost of local hires.
Can Ewents handle compliance for regulated industries?
Yes. We design and deploy AI and data platforms with security and compliance built in from day one. Our teams work with frameworks and regulations such as GDPR, FedRAMP 20X, EU AI Act, HIPAA, SOC 2, and ISO 27001, making us a trusted partner for healthcare, finance, and other highly regulated sectors.
What technologies does your team work with?
Our Data Engineering team builds secure, scalable data platforms using AWS, Azure, and GCP, working with technologies such as Databricks, Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, and Elasticsearch, and designing robust ETL and streaming pipelines with tools like dbt, Airflow, Prefect, Kafka, AWS Glue, and Azure Data Factory.
Our AI Engineering team develops production-grade AI and agentic systems using OpenAI, Azure AI, AWS Bedrock, Claude, and open-source LLMs, combined with frameworks such as LangChain and custom RAG pipelines, vector databases like Pinecone, FAISS, and Weaviate, and cloud-native infrastructure for secure deployment, monitoring, and governance at scale.
Can I start small and expand later?
Absolutely. You can begin with staff augmentation or a Proof of Concept, then scale into larger projects or fully integrated teams as your needs grow.