The idea behind Broco was born out of stubbornness. Everyone was throwing AI into the cloud. But the companies that need it most have a legitimate fear: sending their data outside. Operational data is strategic.
So I took the harder path. Make AI run inside the company, on-prem and at the edge, with a local model, automating processes and talking to the ERP, CRM and sensors, without the data ever leaving the building.
Today Broco is an ecosystem: BrocoEngine, an agentic engine with 27 native skills that orchestrates models, tools and memory with a local LLM; BrocoBot, the customer service and sales chatbot that answers on our own site; the Broco PC I, Brazilian-made hardware to run all of it inside the company; and brocoAds, which builds the entire marketing structure and delivers results, not like an agency, already running with real clients.
It's not paranoia on my part. Research shows a meaningful share of what employees paste into public AI tools is confidential data, and regulation is tightening: the EU AI Act already brings obligations for high-risk systems starting in 2026. Anyone who takes data seriously is bringing AI back in-house, and Deloitte is already tracking the rush toward on-prem, agentic AI inside the enterprise.
The lesson I take from this: hard technology isn't the bottleneck. Trust is. You don't sell the model. You sell the peace of mind that the data never leaked and the number went up.
