— Industry · Banking & insurance
Data, AI and core modernization — without stopping the bank.
We work with mid-sized LATAM banks and insurers on projects where the cost of error is real: core system migration, automated regulatory reports, explainable AI models, and disaster-tolerant multi-cloud architectures.
— Recurring problems we see
Monthly regulatory reports consuming 80% of the data team
Monolithic core system where any change takes quarters
Rule-based fraud models that no longer detect new patterns
Audits that take weeks because there is no native traceability
— What we deliver in this industry
- Automated pipelines for Superintendencia Financiera reporting
- Gradual core modernization with strangler-fig and CDC
- Fraud ML models with drift monitoring and explainability
- Governed data lake-house (Snowflake / Databricks) with lineage
- Auditable executive BI (Power BI / Tableau / Looker)
— Typical stack
SnowflakeDatabricksPythondbtAWSAzurePower BITableauLookerISO 27001SARLAFT
— Most applicable technical pillars
Working in banking & insurance? Let's talk.
30 minutes online, no sales pitch. We tell you honestly if we fit your challenge.