Simply wrapping a ChatGPT API query doesn't create a defensible product. If your AI features hallucinate constantly, lack access to your specific proprietary data, and have expensive, unbound latency, your customers will quickly abandon the feature.
NeoEvolution AI specializes in embedding deeply contextual Generative AI into enterprise software. We consult on building secure Retrieval-Augmented Generation (RAG) loops, fine-tuning open-source models (like Llama), and establishing guardrails to guarantee factual, secure AI outputs.
Vectorizing your secure corporate knowledge so LLMs can reason over your private documents without leaking data.
Adjusting weights of open-source models to match your highly specific industry jargon and use cases.
Implementing semantic router constraints to guarantee the AI cannot be hijacked or biased by user input.
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