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@lattiq

LattIQ

Privacy-first data collaboration for symbiotic businesses

LattIQ

Collaborate on data. Not on trust.

Privacy-first data collaboration platform. Data stays put, cryptography enforces it — not just policy.

What We Build

  • Confidential computing — model training and inference on encrypted data within the client's own cloud using hardware enclaves and envelope encryption
  • Explainable AI — interpretable ML pipelines with feature attribution (WoE/IV), stability monitoring (PSI/KS), and automated drift detection — e.g. fraud detection, credit risk scoring
  • Privacy-preserving data enrichment — identity-resolved signals from alternate data providers via hash-based matching, without exposing PII on either side — e.g. risk intelligence, growth analytics
  • Data collaboration — secure exchange between data providers and consumers for audience intelligence, targeting, and analytics

Open Source

  • dataprism — exploratory data analysis library with interactive visualizations, data quality scoring, and stability monitoring

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  1. mailer mailer Public

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  2. dataprism dataprism Public

    A comprehensive Python library for exploratory data analysis with advanced features for data profiling, quality assessment, and stability monitoring.

    Python 1

  3. sentinel sentinel Public

    Go

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