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Kosherco

Kosherco provides a platform for continuous monitoring of machine‑learning models, detecting data drift, performance degradation, and bias in real time. It uses statistical tests like Kolmogorov‑Smirnov and chi‑squared to flag distribution shifts, offers customizable metric tracking with automated alerts, and includes built‑in compliance tools for GDPR, CCPA, and industry standards, delivering audit‑ready reports and reducing false‑positive alerts by up to 85%.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Machine learning models in production can silently degrade due to shifts in input data, performance decay, or emerging bias, leading to incorrect predictions and regulatory violations before teams become aware.

Solution

Kosherco offers a real-time monitoring platform that continuously evaluates model inputs and outputs to detect data drift, performance degradation, and fairness issues. It applies statistical tests such as Kolmogorov‑Smirnov and chi‑squared, tracks standard metrics (accuracy, precision, recall, F1) alongside custom business KPIs, and generates context‑aware alerts that prioritize incidents by business impact. The system includes built‑in compliance tools that produce immutable audit logs and pre‑filled templates for GDPR, CCPA, SOC 2, and ISO 27001 reporting, simplifying regulatory readiness. Automated root‑cause analysis and smart alert routing reduce false positives while ensuring critical problems are promptly addressed.

Target Audience

Primary customers are data science and ML engineering teams in enterprises that deploy predictive models at scale and need to maintain model reliability, fairness, and regulatory compliance.

Features

  • Continuous drift detection using KS test for continuous features, chi‑squared for categorical variables, and population stability index tracking
  • Real-time performance monitoring with customizable thresholds for accuracy, precision, recall, F1 and user‑defined business metrics
  • Bias monitoring with demographic parity, equal opportunity analysis, and automated compliance reporting
  • Smart alert system that scores incidents by impact, routes notifications contextually, and lowers false positives by up to 85%
  • Immutable audit trails and pre‑built regulatory templates for GDPR, CCPA, SOC 2, ISO 27001, and industry‑specific standards
  • Automated performance reports and anomaly detection with root‑cause insights
This profile is AI-generated and may contain inaccuracies.