About

Data engineering since 2000.

26 years connecting systems in Brazil. No account-management layer between you and the people who build.

Meta Dados has been around since 2000. That's 26 years doing the same thing, better every time: connecting systems that were never meant to talk to each other and turning what comes out of them into decisions. We started back when integration meant late nights of TXT files and FTP, and we've ridden every wave of technology since — without ever trading engineering for whatever was trendy at the moment.

We're not an agency that outsources the hard work. We're a data engineering consultancy specialized in transportation and logistics, with our own products live in production and a single technical lead from assessment to delivery. This page tells you who we are, what we've built, and who runs every project.

Our story: 26 years building bridges

Meta Dados was born in São Paulo in the year 2000, with a simple, stubborn conviction: no company should ever re-enter the same data twice. Back then, integrating two systems was a months-long project. Today we do in days what once took quarters — but the client's problem is still the same: the information is scattered, arrives late, and lives in spreadsheets no one trusts.

Over more than two decades, we've lived through the shift from XML to the API, the arrival of the cloud, the explosion of vehicle trackers, and now the era of intelligent automation. In every phase, we kept our focus where it has always been: the end of re-keying and the end of the spreadsheet in the middle of the road. Logistics became our natural terrain because it's where fragmentation hurts the most — a tracker on one side, an ERP on the other, a TMS in between, and the end customer waiting for an answer no one has in real time.

We don't measure our 26 years by the size of the team, but by the systems we've learned to tame: SASCAR, Autotrac, Omnilink, Onixsat, Cobli, Geotab, RODOPAR, SAP, TOTVS, Sankhya, Omie — and dozens of others that each client carries as legacy. Knowing how these systems really behave, their poorly documented APIs and their treacherous fields, is what separates a project that works from a promise on a slide.

What we do

End-to-end data engineering. We don't sell you a license — we deliver five services that stand on their own:

The thread that ties it all together is our expertise in logistics: we understand a manifest, a CT-e, a packing list and a telemetry event as well as we understand a database. That's why we can talk to the operations director and the developer in the same conversation.

Who runs it

Meta Dados is led by Djeferson Capelli. There's no layer of account managers between you and the person who designs the solution: you talk to the engineer who's going to build it. That's the advantage, not the limitation.

The technical authority comes from a background rarely found in one place:

This combination — science from USP, engineering from ITA and the Israeli offensive mindset — is what lets us treat integration, automation and security as one single thing, rather than three vendors who never talk to each other.

We build, we don't just consult

The difference between those who advise and those who deliver shows up in what you're actually able to put into production. Meta Dados maintains 11 of its own products in production, used every day, running real operations:

When you hire us, you don't get theory from someone who's never run a system in production. You get the hands of the people who've kept yours standing for years.

How we work

Our method has Japanese names and engineering practice behind it. Six principles that reduce your project's risk and give delivery its rhythm:

All of this under the philosophy that gives our brand its name, Kanso — the beauty of removing the unnecessary. Good engineering disappears: the technology fades away so that your business can take the stage.

Why Meta Dados

There are bigger vendors and there are cheaper vendors. What you'll rarely find together is what defines us:

It starts with a free assessment in 48 hours: you tell us about your systems and goals, and we hand back a concrete plan — no commitment and no jargon. Data that turns into decisions starts with an honest conversation.

Frequently asked questions

Do you serve clients outside São Paulo?

Yes. We're based on Av. Paulista, in São Paulo, but we serve all of Brazil remotely. Systems integration, automation and BI are, by nature, remote work — many of our clients have never needed an on-site visit. When a project requires a presence in the field, we arrange it. Distance doesn't change the engineering standard.

Who actually executes the project?

The person you meet in the first conversation is the one who builds it. Meta Dados is led by Djeferson Capelli (PhD from USP, Engineering degree from ITA), and there's no service layer between you and the person who designs the solution. That means fast technical decisions, without translation noise between what you asked for and what gets delivered.

Is Meta Dados a small company? Is that a risk?

We're a lean and senior operation by choice — that's what guarantees direct engineering, without outsourcing the work that matters. The proof of capability is 26 years live and the 11 in-house products we keep in production every day. You're hiring focus and personal accountability, not a badge number lost in an org chart.

What kind of company hires Meta Dados?

Our terrain is transportation and logistics: carriers, logistics operators, shippers and industries with fleets and shipping operations. We serve those who have trackers (SASCAR, Autotrac, Omnilink, Onixsat, Cobli, Geotab), ERP/TMS (RODOPAR, SAP, TOTVS, Sankhya) and need all of it to talk to each other. We also work outside logistics when the challenge is about data — integration, automation, BI, LGPD and security.

What does 'data engineering' mean in your case?

It's making data be born once and flow on its own, from the source system all the way to the decision. In practice: connecting systems that don't talk to each other, automating repetitive work (RPA), turning records into dashboards that guide operations, and making sure all of it is secure and LGPD-compliant. It's not just pulling a report — it's designing the path the data travels.

Why the reference to the Israeli school of cybersecurity?

Our method incorporates the offensive mindset of the Israeli school (Ben-Gurion, Beer Sheva): learning to attack in order to know how to shield. Even in an integration or BI project, we look at the system the way an intruder would. The result is a more resilient delivery — security thought through from the start, not patched on afterward.

Start at no cost

Get your free assessment in 48h

We map your current systems, point out the biggest bottlenecks and deliver a plan prioritized by risk × effort. You leave with clarity — whether you hire Meta Dados or not.

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