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Anomaly Detection

Data quality and observability · by Telmai

ML-driven, no-sampling anomaly detection on column values and business metrics with self-evolving thresholds.

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Where it ranks

Current edition · updated Oct 20, 2026

What it does

ML-driven, no-sampling anomaly detection on column values and business metrics with self-evolving thresholds.

  • Data quality validation for AI workloads
  • Anomaly detection in data lakes
  • Cross-system data consistency
  • Data profiling and health analysis
  • Incident management and remediation
Category
Data quality and observability
Users
Enterprise data teams
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Pricing isn't published

Telmai doesn't list prices publicly. Ask them for a quote.

Security and compliance

As reported by Telmai. Ask for audit reports before you buy.

  • SOC 2Compliant
  • TLS 1.2+Compliant
  • AES-256Compliant
  • encryption_in_transit
  • encryption_at_rest
  • single_sign_on_sso
  • multi_factor_authentication

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