We help companies decide better products before they are built.
Deep Design Systems builds AI decision infrastructure for early industrial product development, connecting simulation, evidence and traceability to evaluate alternatives before decisions become expensive to change.
The cost of a late decision is the whole product.
Many design decisions are made with missing or partial information, scattered evidence and consequences that remain invisible. When those consequences appear, change is already expensive, slow and uncertain.
Decisions made late
Constraints appear when modifying the project has already become expensive.
Fragmented workflows
Tools are not always connected. Teams lose context, continuity and shared judgement.
Hidden impact
Performance, environmental impact and regulatory implications remain invisible until it is too late.
From fragmented workflows to better-founded decisions.
DDS connects leadership, design, engineering and lifecycle in a single reasoning environment, to compare alternatives, understand their consequences and document decisions before committing resources.
Generation is becoming abundant. Judgement is becoming scarce.
Generative AI can produce endless alternatives. DDS focuses on the harder problem: deciding which deserve to move forward, under which assumptions, with which risks and with what level of evidence.
Built for trust, not for attention.
Our work is focused on the research and development of empirically demonstrable solutions, with benchmarkable behaviour, expert review and clear separation between prediction, interpretation and validated claim.
One decision platform. One evidence engine.
Design Engines
The DDS decision platform. Design Engines structures early design decisions in a single reasoning space that connects alternatives, constraints and consequences. Engineering tools produce evidence; Design Engines determines what evidence each decision needs, what that evidence supports, what remains uncertain and what a person can responsibly decide.
Aeroflow
DDS Aeroflow is an experimental evidence engine exploring how simulation-informed physics intelligence can support early-stage aerodynamic reasoning. It helps teams evaluate alternatives earlier, identify risk zones and decide which directions deserve deeper validation. Not a replacement for high-fidelity CFD — a decision layer before it.
Built for those who have to decide.
For Leadership
Gain early visibility into cost, risk, performance, time and impact before decisions become commitments that are difficult to reverse.
For Engineering
Explore alternatives faster, anticipate performance and bring aesthetic intent closer to technical feasibility.
For Sustainability
Understand material and lifecycle impact earlier, while decisions can still reduce footprint, waste and resource dependency.
News & Updates
Automotive speed needs human judgement, not just acceleration
DDS responds to the pressure to compress automotive product development cycles, arguing that tools must preserve thinking time, reduce waste and keep decision-makers able to recognise what right looks like.
Symbolic Regression enabled prediction of flutter derivatives
Peer-reviewed paper by Miguel Cid Montoya, Omar A. Mures et al. Published in Advances in Wind Engineering (Elsevier), 2026.
Aeroelastic force prediction via temporal fusion transformers
Peer-reviewed paper by Miguel Cid Montoya, Ashutosh Mishra et al. Published in Computer-Aided Civil and Infrastructure Engineering, 2026.
Ideas, research and thinking from the frontier of design.
Visit DDS Press →The Age of Criterion — Designing when everything is possible.
Not a manifesto, nor a technical manual. A precise diagnosis and a working map for a question design has spent decades avoiding: what deserves to exist when almost everything can be generated. We are at the threshold of designed abundance. For the first time in history, the problem is no longer producing more, but deciding what deserves to enter the world. The question shifts from «can we?» to «should it exist?». The Age of Criterion examines what disciplines, methods and responsibilities industrial design inherits when AI stops being an isolated tool and begins to operate as infrastructure.
The 80% Rule.
Why design determines the fate of a product.
We build predictive infrastructure so that industry can design with greater clarity, responsibility and anticipation.
DDS is a deep-tech company and official spin-off of the Universidade da Coruña, with strong links to the CITIC research ecosystem. It develops proprietary AI systems that transform how industrial products are designed, evaluated and decided.
We bring intelligence to the start of the process.
For industrial partners, product teams and institutions seeking new ways to decide, validate and justify the development of complex products.