VanlevAI Systems Engineering

Vanlev Brazil Systems · AI engineering

Connecting AI, systems and processes—from strategy to automation.

As a Brazil-based engineering partner serving teams in Brazil and worldwide, we combine AI architecture and governance with AI Automation, AI Integration, AI Workflow and APIs to build useful solutions ready for operation.

Discuss your AI use case

Our services

Five connected areas. AI aligned with operations end to end.

01

AI strategy, architecture & governance

Use-case definition, target architecture, technical standards and governance to guide AI adoption with clear responsibilities, boundaries and goals.

02

AI Automation & AI Workflow

Workflow and process automation with LLMs and agents, coordinating tasks, tools and human oversight.

03

AI Integration, APIs & systems

Integration of AI models and applications with APIs, data and enterprise systems, designed for your architecture and operations.

04

LLMs, RAG & AI agents

Language-model applications, knowledge systems connected to business data, and agents that use tools in a controlled way.

05

Evaluation & production operations

Testing, quality evaluation, safeguards, observability, deployment and improvement cycles to keep solutions dependable.

How we deliver

We plan for operations from the architecture stage.

Integrations, security, performance and maintenance are considered before development begins.

  1. 01

    Understand

    Use case, users, constraints and success measures

  2. 02

    Architect

    Models, data flows, boundaries, integrations and cost

  3. 03

    Engineer

    Application, retrieval, tools, prompts and safeguards

  4. 04

    Prove

    Evaluation, tests, failure analysis and acceptance criteria

  5. 05

    Operate

    Deployment, monitoring, iteration and knowledge transfer

Engineering scope

The right tools for the problem—not a checklist of trends.

Depending on the use case, our work can include LLM selection, prompt engineering, data preparation, retrieval, fine-tuning, agent design, MCP and API integrations, evaluation, testing, observability, architecture and deployment. We choose the smallest reliable approach that meets the product’s needs.

Next step

Start with the use case, then design the system.

Tell us the outcome you need, what your teams have tried and what constraints matter.

Talk to Vanlev