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AthrunData Intelligence
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
    Cloud with an explainable bill and reversible deploys.
  2. 02
    Data
    One number per KPI across every department.
  3. 04
    AI
    AI evaluated before production, and only where it pays off.
Next step

Working in banking & insurance? Let's talk.

You tell us the challenge and within 24 business hours you get in writing whether it is viable and where to start. If it fits, we talk for 30 minutes.

Request free diagnosticBook 30 min

Written reply within 24 business hours · No commitment · NDA on request

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