Data and models
Data science consulting
From the business question to the model and the pipeline: clarity, not black boxes.
The problem
Data is often scattered, dirty, or ownerless. Without a frame, models cannot be audited or maintained, and decisions still live in spreadsheets.
How we approach it
We pin down the business question, the data you have, and what success means. We build pipelines, features, and models with a paper trail. We prefer something simple you can run over something complex nobody can explain.
Typical deliverables
- 01Data and analytics-maturity diagnosis
- 02Pipeline design and data quality
- 03Predictive or scoring models, when they fit
- 04Dashboards or APIs the business can consume
- 05Governance notes and the next iteration
Related cases
Brain tumor classification
Image-study classification with a hybrid CNN–Transformer architecture.
Seismic signal analysis
Seismic-signal analysis with signal methods and machine learning to support interpretation.
SeizureX
Applied research to assist epileptic-seizure detection from EEG signals.
HELIX-AI
A ViT tokenizer with residual spherical quantization (R-BSQ) and a causal Transformer prior, implemented in Rust with Burn.
Quote data consulting
Tell us the problem. We scope phases and investment in MXN or USD — no improvised proposal.