If deploying a new feature requires multiple approvals, manual scripts, and cross-team coordination, your organization is suffering from severe DevOps dysfunction. Late-night deployment anxiety and constant rollbacks indicate a fundamentally broken pipeline.
We institute profound DevOps transformations. By standardizing Infrastructure as Code (Terraform), implementing strict CI/CD pipelines (GitHub Actions, GitLab), and shifting security testing entirely left, we enable engineering teams to deploy to production reliably multiple times a day.
Scripting your entire environment logic to make deployments repeatable, auditable, and extremely fast.
Replacing manual oversight with rigorous automated testing schemas baked directly into the deployment pipeline.
Removing developmental bottlenecks so developers spend 90% of their time coding, not configuring.
WideLabs specializes in generative AI, computer vision, predictive algorithms, and geoprocessing. Notably, WideLabs developed “Amazônia IA,” a large language model (LLM) trained on Oracle Cloud Infrastructure, designed to address Brazilian linguistic and cultural contexts.
• Build Brazil's largest LLM trained with local language
• Run LATAM's largest language model on a secure infrastructure
• Build a GenAI versatile platform
NeoEvolution AI collaborated closely with WideLabs to create Amazônia AI providing staff augmentation to design and develop a versatile LLM platform with owned and internally trained data.
• WideLabs Trains One of the Largest Brazilian AI Models on Oracle Cloud Infrastructure
• Oracle and Nvidia strengthen their partnership with a zettascale cloud cluster

Terraform
Oracle Cloud

AWS

Golang

Python

LangChain

Kubernetes

ArgoCD

Typescript