Data science consultancy · Colombia / United States
Make data work for you.
Dataplicada is a data science consultancy for growing organizations. We build reliable data foundations, useful AI systems, and decision-ready research—without the cost and delay of assembling a full in-house team.
DATA ENGINEERING✦APPLIED AI✦DECISION SCIENCE✦DATA ENGINEERING✦APPLIED AI✦DECISION SCIENCE✦
What we solve 01
From scattered information to a system your team can use.
Bring us a business question that depends on data: fragmented reporting, a repetitive knowledge workflow, a prediction you cannot trust, or a high-stakes market decision.
We identify the smallest rigorous solution, build it with your team, and leave behind a maintainable system—not another disconnected prototype.
01 / CONNECTMake scattered data trustworthy and accessible
02 / AUTOMATETurn repeated analysis into useful systems
03 / DECIDEReplace assumptions with defensible evidence
What you can hire us for 02
01
FOUNDATIONS
Data engineering
For teams that cannot answer basic questions consistently because information is fragmented, manual, or hard to trust. We create the technical foundation that makes reporting and automation dependable.
Data architecture, integrations & pipelines
Analytics engineering & quality controls
Decision-ready reporting & measurement plans
02
INTELLIGENCE
Applied AI & machine learning
For organizations with valuable knowledge trapped in documents, repetitive workflows, or decisions that could benefit from prediction. We move AI from demo to a controlled business tool.
RAG, search & internal knowledge systems
AI agents & workflow automation
Predictive models & natural-language intelligence
03
EVIDENCE
Research & decision science
For leaders facing a consequential question without enough evidence. We combine behavioral science, market research, and quantitative analysis to make the choice clearer and defensible.
Survey, experiment & research design
Behavioral economics & decision analysis
Market, customer & text intelligence
Selected work 03
Proof is the point.
A few examples of how we combine engineering, analysis, and domain thinking.
We begin with the decision, not the technology. That keeps scope honest and makes value testable from the start.
01
Frame
Define the decision, constraints, success measure, and evidence already available.
02
Prove
Test the riskiest assumptions quickly with a prototype, analysis, or focused discovery sprint.
03
Build
Ship a maintainable system with the documentation and knowledge transfer your team needs.
04
Measure
Verify what changed, learn from real use, and decide what is worth improving next.
The people behind the work 05
Felipe / CEODaniel / CTOSebastian / StrategyMateo / Commercial
A SENIOR, CROSS-FUNCTIONAL TEAM
Engineering, research, and business thinking at one table.
Dataplicada brings together data engineering, AI, behavioral research, strategy, and commercial experience. The people you meet are the people responsible for the work.