Causal AI Research & Consulting
Systems that explain why, not just predict what.
NeuralKer is David Granados' research and consulting practice on causal inference for AI systems — from physically-verified autonomous vehicle safety benchmarks to causal retrieval-augmented generation. Substance before hype.
The approach
Most AI systems stop at correlation. This work climbs Pearl's Ladder of Causation.
Click a rung — the diagram on the right shows what changes at each level, using the same example throughout: a car approaching a hazard.
Selected publications
Verified with physics, not assumptions.
Flagship papers and long-form work only — not a mirror of every weekly LinkedIn post or Medium article. The latest gets the full write-up below; earlier work is listed underneath.
About
David Granados
PhD candidate in the Doctoral Program in Automatic Control at the Universitat Politècnica de Catalunya (UPC), researching causal inference for safety-critical AI. NeuralKer is where that research meets applied consulting — for teams whose AI systems need to survive an audit, not just a demo.
- FocusCausal inference, structured knowledge systems, AI safety verification
- ProgramUPC Doctoral Program in Automatic Control
- Based inBarcelona, Spain
Who this is for
Regulated industries
Pharma, legal, finance — where a model's reasoning has to survive an external audit, not just a demo.
Structured knowledge bases
Teams building RAG systems where every answer needs to trace back to a real, checkable source.
Safety-critical pipelines
Systems where "it usually works" isn't good enough, and where the data itself needs auditing first.
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