01
Authentic Industrial DNA
We understand factories from the inside: production constraints, quality requirements, operational risk and the pressure to deliver measurable results. We do not approach industrial AI as a theoretical exercise.
Applying Artificial Intelligence to improve the of industrial processes
Who we are
Where Explainable AI meets real production processes.
Sustain XP is an Explainable AI engineering company focused on complex industrial processes.
We understand industrial operations from the inside and work at the critical interface between AI development and real production environments.
Our role is to turn advanced AI into practical, explainable and auditable solutions that help industrial companies improve sustainability, resource efficiency, circular economy performance and measurable business return.
Engineering DNA
AI built on real engineering, not black boxes
Value proposition
Our unique value proposition. What makes us different.
Industrial AI only creates value when it connects with the reality of the production process. Sustain XP combines industrial experience, Explainable AI and an open innovation ecosystem to turn complex process challenges into practical and sustainable solutions.
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Full Explainability & Trust — XAI
Our AI systems explain not only what they predict or recommend, but why. This creates trust, supports adoption and enables confident industrial decision-making.
03
Positive Sustainability Impact & ROI
We turn sustainability into business value by improving resource efficiency, reducing waste and connecting environmental impact with measurable return.
04
Open Innovation Ecosystem & Partnership
We collaborate with technology partners, research centers and universities to bring advanced AI, sensing capabilities and scientific validation to demanding industrial challenges.
Solutions Tailor-Made. Critical challenges. Transformational impact.
The challenges
When traditional optimization reaches its limits, Explainable AI opens the next frontier.
Industry is facing a new generation of challenges:
- Underused industrial data — turning process data into actionable decisions
- Sustainability with ROI — making resource efficiency contribute to business return
- Loss of industrial know-how — capturing and scaling expert process knowledge
- Circular economy at industrial scale — reducing uncertainty in reuse and recycling
- Unexplained process variability — understanding root causes of defects and waste
- AI adoption and trust — explainable systems that industrial teams use with confidence
The Sustain XP approach
From industrial complexity to Actionable Intelligence.
Sustain XP starts from the production process, not from the algorithm.
We combine industrial know-how, process data, advanced sensing and Explainable AI to understand what happens inside complex production processes, explain why it happens and recommend what to do next.
The result is tailor-made, practical and explainable AI designed for real industrial environments — improving sustainability, resource efficiency and measurable business return.
01Understand the Process
We analyse production constraints, operating conditions, quality requirements, available data and key decisions.
02Connect Data and Sensing
We identify the data, sensors and measurements needed to create reliable process visibility.
03Build Tailor-Made Explainable Models
We develop XAI models that predict, diagnose or recommend with explanations that industrial teams can trust.
04Turn AI into Action
We translate model outputs into real decisions linked to sustainability, efficiency and business return.
Activity lines
Our two activity lines. Two complementary ways to create value.
Industrial Process Optimisation Projects
Tailored Explainable AI projects to improve industrial performance, sustainability, resource efficiency and decision-making in real production environments.
- Defect risk prediction
- Failure prediction
- Root-cause analysis
- Intelligent quality control
- Process parameter optimisation
- Cognitive automation
Scalable AI & Advanced Sensing Products
Design and co-development of scalable products that address industrial challenges through Explainable AI, advanced sensing and deployable technologies.
- Inline quality control
- Advanced sensing
- Decision-support tools
- Predictive intelligence
- Prescription systems
- Industrial monitoring
Sectors & Projects
Where we work. What we deliver.
Sectors
Complex Manufacturing
Food and Beverage
Circular Economy
Packaging
Textile
Aerospace and Advanced Manufacturing
Featured projects
Cognitive Automation of Fish Canning Lines
Early Detection of Microbiological Contamination in Food
Intelligent Textile Recycling
Failure Prediction in Additive Manufacturing
Defect Prediction in Cast Parts
Defect Diagnosis in Logistics Assets
Sustainability must contribute to the P&L
Reducing waste and improving process efficiency deliver immediate, measurable returns.
Testimonials
Trusted by industry leaders. In their own words.
“
Sustain XP’s ability to understand ITP Aero’s business challenges and transform them into problems that can be addressed with AI systems is a differentiating factor in their work and a very important ingredient for the success of the joint projects we are developing.
Alberto Gutiérrez MartínHead of IA & Manufacturing Digitalization, ITP Aero
“
Our relationship is framed within Hermasa’s strategy to integrate AI into the key processes of the canning industry. Their ongoing involvement in a highly demanding industrial environment is contributing decisively to strengthening the technological foundations of this line of development, which we continue to drive forward together.
Pablo Rodríguez CordovésChief Executive Officer, Hermasa Canning Technology
Alliances
Strategic collaboration. Sustain XP × ITA.
From industrial challenges to scalable technology-based solutions.
Sustain XP and the Aragon Institute of Technology — ITA — collaborate to transform relevant industrial challenges into high-value AI and advanced technology solutions.
Sustain XP contributes by identifying industrial needs, validating them with pilot customers, shaping the solution architecture, coordinating the project, developing Explainable AI components and supporting integration. Our role is to connect market-relevant industrial problems with practical, explainable and scalable solutions.
ITA brings complementary technological expertise in areas such as materials, digital twins, advanced sensing, CFD, simulation, testing, validation and additional AI capabilities.
Together, we aim to develop technology-based solutions that improve industrial sustainability, resource efficiency and competitiveness, with potential for industrial deployment and global scalability.
Alliances
Strategic alliance. Sustain XP × Argit AI.
Together, we develop Explainable AI for real industrial transformation.
Sustain XP and Argit AI collaborate to develop practical, explainable and high-performance AI solutions for industry — combining industrial process know-how, advanced AI development and real production expertise to deliver scalable solutions for complex industrial challenges.
Sustain XP contributes industrial experience, sustainability, circular economy and the ability to translate industrial challenges into deployable AI solutions, while Argit AI provides complementary capabilities in high-performance AI and advanced explainability.
Trusted network
Helping great companies. Inspired by the best knowledge.
Zaragoza Logistics Center
AI is not magic, it must be explainable to create trust.
Industrial teams need AI they can understand, trust and use in real production.
The team
Industrial minds. AI experts.
Víctor Javier CórdobaCEO & Founder
Formerly Managing Director of Smurfit Kappa, SIG Combibloc and Pascual · Chief Sustainability Officer Program, MIT
Insightful and seasoned CEO & MD, with a proven track record of leadership, and excellent results through strategic skills in driving revenue and profit growth through brand development.
Demonstrated ability to identify and troubleshoot critical issues impacting productivity, cost, distribution, marketing, sales and financial operations. This is achieved through inspired and motivated high-performance teams.
Professional career
Pascual
- Managing Director Dairy — Madrid
- Managing Director of Industrial Business, new Businesses and Internationalization — Madrid
SIG Combibloc
- Head of Cluster Europe South — Madrid & Düsseldorf
- Head of Market France & Iberia / GAM Lactalis
Smurfit Kappa
- General Manager Smurfit Nervión — Bilbao
- Industrial Operations Director, Smurfit Paper Sack European Division — Paris & Madrid
- General Manager Smurfit Ibersac — Bilbao
- General Manager Smurfit Kappa Navarra — Pamplona
Education
- Design and Development of Artificial Intelligence Products and Services — MIT (2025)
- Chief Sustainability Officer / Artificial Intelligence Applications — MIT (2023–2024)
- Senior Executive Program — London Business School (2019)
- Advanced Management Program (AMP) — INSEAD (2010)
- MBA — Universidad de Deusto (1994–1995)
- Industrial Engineer — Universidad de Zaragoza
Javier ViañaStrategic Collaborator
Founder & Director of Argit AI · Forbes 30 Under 30 in Science · Researcher in AI, MIT
Founder and Director of Argit AI. He obtained his Ph.D. in eXplainable Artificial Intelligence applied to Aerospace Engineering at the University of Cincinnati, spent his last doctoral year at MIT and later completed his PostDoc in AI at MIT.
With an Aerospace and Mechanical Engineering background, he has developed tailored AI solutions for organizations such as Boeing, Aurora Flight Sciences, Satlantis Microsatellites, NASA, ESA and the CVG Northern Kentucky International Airport.
Awards
- Botton Foundation Fellow.
- Best National Research Article of 2026 in Mechanical Engineering.
- “La Caixa” Fellowship Award.
- John Leland Atwood Award of the American Institute of Aeronautics and Astronautics.
- Letter of recognition from H.M. King Felipe VI and the Royal House of Spain.
- Professor R.T. Davis Memorial Award for Academic Performance in Computational Sciences.
- Airport Cooperative Research Program Award from the Federal Aviation Administration and the National Academy of Sciences.
- Best AI Ph.D. Thesis Award and 3 Best Paper Awards from the North American Fuzzy Information Processing Society (NAFIPS).
Media
- Forbes 30 Under 30 in Science.
- Featured by La Vanguardia as “the man of transparent algorithms”.
- TEDx Boston talk “The Black Box Emergency”, with over 250k views.
Ana CrespoProjects Coordinator
Economist & MBA, IE
Carlos AlvarezFinancial Advisor & Controller
AMPG Consultores
Javier ViañaAI Strategic Collaborator
Founder & Director of Argit AI · Forbes 30 Under 30 in Science · Researcher in AI, MIT
Founder and Director of Argit AI. He obtained his Ph.D. in eXplainable Artificial Intelligence applied to Aerospace Engineering at the University of Cincinnati, spent his last doctoral year at MIT and later completed his PostDoc in AI at MIT.
With an Aerospace and Mechanical Engineering background, he has developed tailored AI solutions for organizations such as Boeing, Aurora Flight Sciences, Satlantis Microsatellites, NASA, ESA and the CVG Northern Kentucky International Airport.
Awards
- Botton Foundation Fellow.
- Best National Research Article of 2026 in Mechanical Engineering.
- “La Caixa” Fellowship Award.
- John Leland Atwood Award of the American Institute of Aeronautics and Astronautics.
- Letter of recognition from H.M. King Felipe VI and the Royal House of Spain.
- Professor R.T. Davis Memorial Award for Academic Performance in Computational Sciences.
- Airport Cooperative Research Program Award from the Federal Aviation Administration and the National Academy of Sciences.
- Best AI Ph.D. Thesis Award and 3 Best Paper Awards from the North American Fuzzy Information Processing Society (NAFIPS).
Media
- Forbes 30 Under 30 in Science.
- Featured by La Vanguardia as “the man of transparent algorithms”.
- TEDx Boston talk “The Black Box Emergency”, with over 250k views.
Gabriel SoriaData & AI Engineer
Palantir Foundry FDE
Víctor CórdobaDigital Product & AI Engineering
Web engineering, automation and digital product development
Ricardo LalandaRenewable Energy & Circular Economy
Industrial Technologies Engineering, ICAI
Patryck BartkowiakAI Developer · Deep Learning
TCL Research Europe · Specialized in Feature Engineering
Jaime HidalgoAI Developer
Lead Systems Engineering at CCC Intelligent Solutions
Rogelio PozoManaging Director
AZTI · Technology Centre, Basque Country, Spain
Begoña CalvoContinuum Fluid Mechanics Chair
School of Engineering, Zaragoza, Spain
Begoña Calvo is Full Professor of Continuum Mechanics at the Department of Mechanical Engineering of the University of Zaragoza (Spain) since 2010. She is a member of I3A (Aragón Institute for Engineering Research) and of CIBER-BBN (National Networking Center on Bioengineering, Biomaterials and Nanomedicine).
Her research spans Continuum Mechanics and Computational Biomechanics. In recent years it has focused on the design of Digital Twins applied to different fields of engineering, combining finite-element simulation with artificial intelligence.
Pedro BravoMechanic Engineering Chair
School of Engineering, Burgos, Spain
Contact
Have a challenge? Let's talk.
Contact us for a differential AI solution
Address
Hub Las Rozas InnovaCalle Jacinto Benavente, 2A
28232 Las Rozas de Madrid
© 2026 · Developed by Sustain XP
