Elementary

Elementary Cloud is the Enterprise Data & AI Control Plane that brings data engineering, analytics, and data science into one place to scale trusted data and AI products. Instead of siloed solutions, it offers observability, quality, governance, and discovery tools with a single platform built on a shared context engine. Elementary is designed for modern stacks where end-to-end reliability is key. It captures context from dbt and Python pipelines, all major cloud warehouses and lakes, orchestrators, data visualisation tools, AI systems, and more. At the core, the context engine continuously learns from lineage, validations/test results, incidents, performance signals, semantics, and usage patterns, so every workflow, and every AI agent, operates on the same, up-to-date understanding of what your data is, how it is built, and whether it is healthy. Elementary is built on an open core, and metadata stays in the customer environment and can be extended or leveraged to build your own workflows. On top of this shared context, Elementary adds a network of AI agents that take on operational reliability work while teams keep ownership and approvals, such as: triage & resolution, test/monitor coverage, performance & cost optimization, pre-merge prevention workflows. Agents even propose changes via pull requests as part of a code-first approach. Elementary also exposes this context through the Elementary MCP Server (Model Context Protocol) so MCP-compatible clients and copilots can query incidents, lineage, coverage, and health signals directly from where teams work (IDE, assistants, internal tools). For enterprise needs, Elementary Cloud includes organization-wide collaboration workflows (catalog + governance), centralized incident management, and enterprise controls (e.g., RBAC/audit logs). For offers, volume discounts, custom pricing, or private contracts and security questions, please reach out at contactus@elementary-data.com .