← All projects

Elementary Data

Observability, Quality, Governance, and Discovery under one control plane.

Data & Analyticsdata-observabilitydata-qualitydata-governancedbtdata-lineageai-reliabilitydata-catalog
Elementary Data screenshot

About

Elementary Data is a unified control plane for data and AI reliability, combining observability, quality, governance, and discovery in a single platform. It connects engineering teams who work in code with business users who get AI-first validation and exploration tools. The platform is built on a context engine that aggregates metadata, lineage, logs, and health signals to enable trusted data at scale.

Problem

Siloed data tools fragment information, erode trust, and cannot scale to meet the complexity of modern AI-driven data pipelines.

For

Data engineering teams and business users at mid-to-large enterprises

How it works

Elementary integrates natively with dbt and other pipeline tools via a shared context engine that collects metadata, lineage, tests, and usage patterns across the entire stack, enabling automated monitoring and AI-assisted validation.

Business model

freemium

Status

launched

Company

Elementary Data

Similar projects