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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

  1. 01

    Monthly regulatory reports consuming 80% of the data team

  2. 02

    Monolithic core system where any change takes quarters

  3. 03

    Rule-based fraud models that no longer detect new patterns

  4. 04

    Audits that take weeks because there is no native traceability

What we deliver in this industry

  • 01Automated pipelines for Superintendencia Financiera reporting
  • 02Gradual core modernization with strangler-fig and CDC
  • 03Fraud ML models with drift monitoring and explainability
  • 04Governed data lake-house (Snowflake / Databricks) with lineage
  • 05Auditable executive BI (Power BI / Tableau / Looker)

Typical stack

SnowflakeDatabricksPythondbtAWSAzurePower BITableauLookerISO 27001SARLAFT

Most applicable technical pillars

  1. 01
    Cloud
    Infrastructure that scales with the business — without billing surprises.
  2. 02
    Data
    Decisions with data, not with gut feeling.
  3. 04
    AI
    AI applied to your operations — not a conference demo.
Next step

Working in banking & insurance? Let's talk.

30 minutes online, no sales pitch. We tell you honestly if we fit your challenge.