DKL logo

We build systems that turn Data and AI into measurable business value.

When data is defined, uncertainty is managed, and AI is well-integrated, systems create real business value and results.

Latest news

From silent risk to strategic discipline: Deep Kernel Labs proposes a practical methodology to identify, quantify, and trace uncertainty across every phase of data work — building more reliable, transparent, and ethical systems in the age of AI.

Read the update arrow_forward

About us

DKL is what happens when deep software engineering aligns with strategic clarity, and when data uncertainty becomes a mission, not a problem.

arrow_circle_right

What makes us different

Many talk about AI. Some build prototypes. Few design systems that work in context — where data is defined, decisions are traceable, and value is measurable. That’s what makes DKL different: we make it real.

arrow_circle_right

Our formula

Our formula is simple: define data, understand variability, integrate AI with intent, and master the tools that make it possible. When these align, systems stop reacting and start creating real, measurable business value.

arrow_circle_right

What we believe

The challenge isn’t getting data or deploying AI, it’s making them work together, in real contexts, under real constraints ,and in live systems, because technology alone means nothing unless it creates real value.

Learn more about us arrow_forward

Our work

Our team has delivered AI products in energy, mobility, public sector tenders, industrial maintenance, retail pricing, and regulatory automation — always with a data-first, system-oriented mindset.


Featured success story

Data Insights Platform

The Data Solutions division of a leading energy provider partnered with DKL to design and build a next-generation Smart Data ecosystem. The mission: to unlock the value of the company’s extensive data assets by enabling cross-functional use cases and vertical solutions, such as operational intelligence systems and advanced analytics products.

We knew our data had enormous potential, but we needed a trusted ecosystem — one that could set new standards in security, reliability, and scalability.

Read the full story arrow_forward

Our knowledge

This is how we turn our expertise into actionable value, providing our clients with clarity, insight, and scalable solutions.

Data Strategy & Leadership
Sustainable growth
Migration & Workflow Modernization
Resilient operations
Smart Data Platforms
Trusted decisions
AI Automation & GenAI
Scalable efficiency
Predictive & Prescriptive Analytics
Actionable intelligence
Open Source & Innovation
Shared innovation

Whom we serve

We partner with organizations of all sizes — from innovative startups to global corporations — across energy, industry, retail, and beyond, delivering AI-ready data solutions worldwide that turn uncertainty into value.

Discover our work arrow_forward

Our team

We are a team of experienced developers, engineers, and data scientists who share a culture of respect for Software Quality, Open Standards, and Ethical Technology.

Our hybrid background in engineering and top-tier consulting allows us to align architecture with business impact.

We are a global team

7 Languages

Our members communicate fluently in English, Spanish, French, Italian, Russian, Catalan, and Malagasy.

5 Countries

Our team collaborates seamlessly across various countries on three different continents, bringing together skills and perspectives.

9 Nationalities

We bring together expertise from a myriad of nationalities, cultures, and backgrounds. Diversity makes us stronger!

Meet the team arrow_forward

Our log

Dive into our log to discover our latests insights and innovations. Learn more about our team and social activities.

Recommended reading


Cover image
image of José Vega
image of David Serrano

October 10th, 2025

At Deep Kernel Labs, after years on complex projects across sectors, we learned a key lesson: uncertainty isn’t an anomaly in data; it’s inherent. Ignoring it leads to error. This article shares our practices for fostering a rigorous, critical, and adaptable data culture to support high-stakes decisions.

  • Data uncertainty
  • Ethical data practices
  • Data governance
  • Generative AI
Read the full entry arrow_forward

Explore our log arrow_forward

Discuss your idea with us

Want to talk about your latest great idea? Send us a message and our team will get back to you as soon as possible.