A senior team for external data and applied AI
Mint Data was built in Bogotá, Colombia, by engineers and data professionals who kept seeing the same problem: companies had important questions they could answer with external data or automation, but building and maintaining the systems behind them was becoming a job of its own. We took on that job. Today we design and operate web data pipelines and AI solutions for B2B teams in the US, Europe, and Latin America, and we stay responsible for them after launch.
From a problem we lived firsthand
Mint Data was born from a problem we lived firsthand. As engineers, data scientists, and strategists, we kept seeing companies with sophisticated questions about their markets, their competitors, and their customers, but no way to get clean, reliable data fast enough to act on the answers.
The off-the-shelf tools were too rigid; the in-house data teams were already overwhelmed; the agencies were too generic to deliver real engineering depth. We founded Mint Data to close that gap.
What guides our work
The principles that shape every engagement, every pipeline, and every delivery.
Our Mission
To give B2B teams reliable external data and working automation without asking them to build and maintain the systems behind it.
Our Vision
To be the team that companies in the US, Europe, and Latin America call first when a decision depends on data they do not have yet, or on work that should no longer be done by hand.
How we work
-
Mint Condition
Quality is not something we add at the end. Validation, deduplication and QA are part of how a pipeline is built, not a review step after it runs.
-
We tell you when the tool you asked for is the wrong answer.
Some questions are better answered by a licensed dataset, an API, a simple rule instead of a model, or a phone call. We would rather say so early than build something that will not hold.
-
You see the quality numbers, not just the data.
Records delivered, field completeness, validation pass rate, and last successful collection, reported for the pipelines we build.
-
Named technical and project leads.
Your account has a named engineer who knows the pipeline and a project manager who knows the work. Normally that is the engineer who built it. When something needs attention, we raise it early rather than waiting for you to find it.
Meet the team
A senior, specialized team that owns the work end to end, from source analysis to production delivery.
Salomón Novoa
Chief Analytics Officer
Salomón leads Mint Data's analytics and data strategy practice. He helps clients translate business questions into data models, dashboards, enrichment workflows, and AI-ready outputs. His work focuses on making external web data usable for decision-making, not just available as raw extraction.
View on LinkedInDavid Patiño Montoya
Chief Engineering Officer
David leads Mint Data's engineering practice, including scraping infrastructure, data pipelines, QA systems, and delivery architecture. He is responsible for turning complex and changing web sources into stable, production-ready data workflows.
View on LinkedInFernando Duarte
Chief Strategy Officer
Fernando leads strategy, client partnerships, and commercial delivery at Mint Data. He works with clients to define the business case, scope the engagement, align stakeholders, and turn data requirements into clear execution plans.
View on LinkedInTell us about your project
Book a 30-minute discovery call. We will discuss the data you need or the process you want to automate, and whether Mint Data is the right partner.
Book a discovery call