Open source AI projects from Banco Santander
Banco Santander's AI Lab releases a collection of open source AI tools focused on small models, engineering, agents, responsible AI, MLOps, and graph ML for financial services. Featured projects include Ralph, Auto-Bayesian, AutoGuardrails, Causal Perception, Gen-Fraud-Graph, and more, all under Apache-2.0 license.
README.md
SantanderAI
Open source artificial intelligence projects from Banco Santander AI Lab
Our mission
We build and open source AI tools that advance small models, harness engineering, evolving agents, responsible AI, MLOps and graph machine learning for the financial services industry. By contributing back to the open source ecosystem we help raise the bar for trustworthy AI in banking — and we give back to the community whose work powers our own innovation.
Featured projects
Project Description License Status
ralph A configurable Bash/PowerShell loop that runs an AI coding CLI with a fresh session each iteration. Apache-2.0 ✅ Active
ralph-vault-skill Skill to generate the knowledge vault for projects using the Ralph loop. Apache-2.0 ✅ Active
auto-bayesian Config-driven, interpretable Bayesian network training for relational tabular data. Apache-2.0 ✅ Active
autoguardrails Alignment-research scaffold (autoresearch-style) for LLM guardrails over a single policy.md surface. Apache-2.0 ✅ Active
causal-perception-implementation ML research code for causal perception — comparing competing structural causal models via interventional and counterfactual distributions, applied to fair credit decisions. Apache-2.0 ✅ Active
gen-fraud-graph Synthetic fraud graph generator for training and benchmarking graph-based fraud detection models. Scales to 100M+ accounts. Apache-2.0 ✅ Active
genetic-algorithm A dependency-free Python genetic-algorithm engine with pluggable fitness criteria — a reusable search core for an LLM/AI autoresearcher. Apache-2.0 ✅ Active
linear-adapter-trainer Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG). Apache-2.0 ✅ Active
llm_bridge A tiny, vendor-neutral LLM client library — one interface with pluggable adapters for OpenAI, AWS Bedrock and Google Gemini, or bring your own backend. Apache-2.0 ✅ Active
mech-gov-framework Mechanical Governance for LLM Decisions — model-agnostic governance regimes, hard gates and governance metrics for high-stakes LLM decision systems. Apache-2.0 ✅ Active
mutatis-mutandis Situation testing for discrimination analysis with counterfactual comparators — research code for the paper 'Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing'. Apache-2.0 ✅ Active
sota-stressed-datasets Open benchmark datasets republished in stressed form to evaluate ML/LLM robustness. Curated by Santander AI Lab. CC BY 4.0 + Apache-2.0 ✅ Active
All projects use synthetic or anonymised data only. No real customer information is published.
Open source governance
Our Open Source Programme Office (OSPO) runs a transparent two-track review for every project considered for public release:
Fast Track — forks, generic tools, tutorials, datasets, SDKs without business logic. Reviewed by OSPO Lead with automated scans (SLA
Showing 10 of 14 repositories
ralph-vault-skill
Public
Skill to generate the knowledge vault for projects using the Ralph loop
SantanderAI/ralph-vault-skill’s past year of commit activity
Python
25
Apache-2.0
4
0
0
Updated Jun 22, 2026
gen-fraud-graph
Public
Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.
SantanderAI/gen-fraud-graph’s past year of commit activity
Python
74
Apache-2.0
13
0
1
Updated Jun 21, 2026
.github
Public
SantanderAI/.github’s past year of commit activity
1
1
0
1
Updated Jun 21, 2026
sota-stressed-datasets
Public
Open benchmark datasets republished in stressed form to evaluate ML/LLM robustness. Curated by Santander AI Lab.
SantanderAI/sota-stressed-datasets’s past year of commit activity
HTML
16
2
1
0
Updated Jun 21, 2026
mutatis-mutandis
Public
Situation testing for discrimination analysis with counterfactual comparators — research code for the paper 'Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing'
SantanderAI/mutatis-mutandis’s past year of commit activity
Jupyter Notebook
10
Apache-2.0
0
0
0
Updated Jun 21, 2026
mech-gov-framework
Public
Mechanical Governance for LLM Decisions — model-agnostic governance regimes (R1/R2/R3), hard gates, entropy commit-reveal and governance metrics for high-stakes LLM decision systems.
SantanderAI/mech-gov-framework’s past year of commit activity
Python
26
Apache-2.0
5
0
0
Updated Jun 21, 2026
llm_bridge
Public
A tiny, vendor-neutral LLM client library — one interface (LLMClient) with pluggable adapters for OpenAI, AWS Bedrock and Google Gemini, or bring your own backend.
SantanderAI/llm_bridge’s past year of commit activity
Python
17
Apache-2.0
4
1
0
Updated Jun 21, 2026
linear-adapter-trainer
Public
Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).
SantanderAI/linear-adapter-trainer’s past year of commit activity
Python
10
Apache-2.0
4
1
0
Updated Jun 21, 2026
genetic-algorithm
Public
A dependency-free Python genetic-algorithm engine with pluggable fitness criteria — the reusable search core for an LLM/AI autoresearcher.
SantanderAI/genetic-algorithm’s past year of commit activity
Python
13
Apache-2.0
5
0
0
Updated Jun 21, 2026
causal-perception-implementation
Public
Machine learning research code for causal perception: comparing competing structural causal models (SCMs) via interventional and counterfactual distributions, applied to fair credit decisions. Open source by Santander AI Lab.
SantanderAI/causal-perception-implementation’s past year of commit activity
Python
13
Apache-2.0
2
0
0
Updated Jun 21, 2026
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