Artificial intelligence and machine learning

LLMs, agents and machine learning built into the systems you already use, instead of yet another generic tool to manage.

Integration of LLMs, AI agents, automations and predictive analytics into the systems and business processes a company already runs.

What we deliver

  • LLMs
  • AI agents
  • Automation
  • Predictive analytics

Who it's for: Companies that want to apply AI to their existing processes and systems

Why M-AI & ML

  • Built for you: Designed around your context and your data, not an off-the-shelf product.
  • Real integration: Connected to the databases, CRMs, ERPs and APIs your company already has.
  • From raw data to production: Complete data pipelines that end with a model actually running in production.

Frequently asked questions

How can artificial intelligence help my business?

The fastest wins are usually in repetitive, text-heavy tasks: support triage, reading documents, generating reports and classifying data. We start with the process that eats up the most hours today and measure the result before we expand.

Do I need a lot of data to get started?

For LLM-based work, no. It runs on the documents and databases your company already has. You only need a large volume of historical data for predictive models trained from scratch, which is a narrower case.

Will the AI have access to my company's data?

Only to what you explicitly allow, and we define that together. We use scoped access control, usage logs and, when the data is sensitive, options that keep the processing inside your own infrastructure.

What's the difference between hiring you and using ChatGPT?

A generic tool doesn't know your data and can't take actions in your systems. We build agents connected to your ERP, CRM and database that answer with information from your operation and trigger the next step in the process.

Can you add AI to a system I already have?

Yes, and that's the most common case. We connect to your production system through its API, without rewriting what already works. The AI layer runs as a separate service.

Can small companies in the São Paulo countryside use AI?

Yes, and they don't need to build a data team. For companies in Leme and the São Paulo countryside, the uses that usually pay off fastest are WhatsApp customer service that answers from the company's own documents, automatic reading of invoices and orders, and reports generated from the ERP. MFactor starts with the process that takes the most time today and measures the gain before going further.

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