Currently incorporating

K/20X Labs

Quick solutions for data, analytics, and AI—built to work in production. Precise execution.

Team

A team of four. Senior builders. Fast delivery.

Purpose

Execution quality over headcount.

When to call

When you need a working solution now, not a six-month process.

Fast delivery with measurable outputs
Reliable data and instrumentation before you automate or scale
Practical governance and quality that reduces risk (without slowing teams)

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What We Do

We step in when teams are blocked, systems are fragile, or decisions depend on data that must be correct. We work hands-on. We reduce friction. We ship.

Quick delivery (no bureaucracy)

Short cycles, direct communication, clear ownership. You get working implementations—not a process that never ends.

Reliability first

If data is wrong, everything downstream is wrong. We fix trust issues early: instrumentation, quality checks, and validation gates.

Teams that learn

We train people effectively. You don’t become dependent on us—your team can run and improve what we build.

Capabilities

Concrete work across platforms, analytics, data quality, governance, and AI—built for production and measurement.

BI & Data Platforms

Dashboards, models, pipelines, performance, and cost control.

Tools we use often:

Power BI Databricks ClickHouse DuckDB

Web & Product Analytics

Instrumentation that executives can trust: clean tracking, validation, governance, and consistent reporting.

Platforms:

Google Analytics GTM Adobe Analytics Amplitude Tealium

Data Quality & Observability

Practical governance and automated checks: rules, monitoring, reconciliation, and trust at scale—without red tape.

We implement:

Business glossaries Technical glossaries DQ rules Automated DQ Observability Migration validation

AI & Automation

AI implementations that are measurable and controlled: assistants, chatbots, GenAI engines, and audience learning systems.

Examples:

Chatbots AI assistants GenAI content engines Marketing automation Audience segmentation Learning systems

If you need speed

Fix broken tracking Ship dashboards fast Unblock pipelines Validate migrations

If you need trust

DQ scans Rules + automation Observability Governance that works

If you need AI in production

Assistants GenAI engines Segmentation Measurement + controls

Story

Why K/20X Exists

Built through repetition: teaching, shipping, and refining real solutions over years.

For years, inside the K200–K203 classrooms we enjoyed creating new concepts, and pressure-testing them with real data and real constraints. Over time, the pattern became obvious: teams don’t fail because they lack tools— they fail because execution gets buried under delays, ambiguity, noise, and lack of critical thinking.

K/20X is the result of a few of us deciding to stay focused on what works: using data to help companies to profile, orchestrate, execute, and measure—fast and precisely. Across media, marketing, e-commerce, and healthcare.

Values

How We Operate

These are operational constraints. We hold them especially under pressure.

Adaptability

We adjust fast without breaking fundamentals. When requirements change, we protect reliability and keep shipping.

Transparency

Clear status, clear risks, clear decisions. No hidden work, no surprises, no vague progress.

Respect

Respect for stakeholders, constraints, and time. Direct communication. Partner mindset.

Excellence

Clean implementations, measurable outcomes, and production discipline. Quality is the shortcut when the work must last.

Founder

Juan David Núñez Aljure

I like to signal great talent and assemble high-performance teams—then ship reliable systems fast.

Operator mindset

Founder & Principal • K/20X Labs

I build production-grade data, analytics, and AI systems—quickly, with minimal bureaucracy. I also train teams so they can own and improve what’s built.

Execution Reliability Measurement Training Talent

Selected outcomes

Delivered a Data Quality Engine for Forbes-level companies with worldwide operations
Carried a SFMC migration for a top media company in South America
Implemented countless web and app analytics programs (GA/GTM, Adobe, Amplitude, Tealium)
Trained and mentored 40+ people from intern to senior
Built teams that ship: high standards, clear ownership, low noise

Momentum

Top Data & AI Trends for 2026

As the year closes, we focus on what will matter next: reliability, cost discipline, and systems that actually run. Here are the 2026 trends we’re building for.

AI in production: monitoring becomes mandatory

Organizations are moving from demos to systems. Evaluation, guardrails, drift monitoring, and incident response become standard.

Data quality → data reliability

DQ evolves into continuous reliability: automated checks, observability, lineage, and acceptance gates across pipelines and products.

Cost-aware analytics (fast engines win)

Performance-per-dollar matters. ClickHouse/DuckDB patterns and pragmatic architectures increase adoption and reduce waste.

First-party measurement & clean instrumentation

Better tagging, better event taxonomies, governance, and validation—because marketing and product decisions can’t rely on broken metrics.

Composable “fabrics” over monolith platforms

Teams assemble best-of-breed stacks with clear interfaces. What matters is orchestration, quality gates, and operational ownership.

Audience systems that learn

Segmentation becomes dynamic: learning loops, experimentation, personalization, and measurement—grounded in trusted data.

If 2026 is your planning window

Start with reliability Fix instrumentation Automate DQ Add monitoring Measure impact

How we help

Trust scans Migration confidence Analytics validation AI delivery + controls Team training

Let’s Talk

If you need something working quickly—and you want it done correctly—start here.

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Based in Bogotá • Working globally and remotely