Boomi announced it has acquired Elementary Data, a provider of the widely adopted data observability solution that powers every workflow and AI agent with reliable data.
Following Lunar.dev, Elementary is Boomi’s latest acquisition, strengthening the Boomi Enterprise Platform with the observability, quality, governance, and discovery capabilities enterprises need to deliver trusted data for AI.
Key Takeaways
- What Boomi acquired. Elementary provides unified observability, quality, governance, and discovery. Founded in 2022, Elementary began as an open-source project — now adopted by 1,500+ data teams, with 1.1M + monthly downloads, and a ~4,000-member community. In 2024, it launched Elementary Cloud which added enterprise-grade capabilities on that open-source foundation.
- Why this acquisition matters. AI is only as trustworthy as the data behind it. As enterprises hand decisions and actions to AI agents, unreliable data can quietly break the business. Elementary addresses that risk at the root—empowering data teams to detect, triage, and resolve data issues before they reach dashboards, models, devices, and AI agents, thereby closing the data-reliability gap that stalls enterprise AI in production.
- How Elementary augments the Boomi Enterprise Platform. Elementary provides agent-driven pipeline, data, and context monitoring; column-level lineage, a data catalog, health scores, an MCP server that exposes data context to AI tools and agents, and AI agents that automate data testing, incident triage, governance, and performance optimization across apps, devices, and data. Elementary complements the Boomi Enterprise Platform’s Active Data Foundation, which continuously moves, grounds and governs data, delivering it with context to the applications, devices, and agents that need it. Unlike traditional data platforms focused on data at rest, the Active Data Foundation puts data in motion, ensuring trusted, contextualized data is available wherever it’s needed.
Why data reliability is the new AI bottleneck
For many years, data reliability was treated as back-office hygiene, something data teams handled quietly so dashboards didn’t break.
AI has ended that era. As enterprises hand real decisions and actions to AI agents, the reliability of the underlying data becomes the single point of failure for the whole system: an agent that acts on stale, wrong, or ungoverned data doesn’t just produce a bad chart — it takes a bad action, at scale, before anyone notices. Elementary closes that gap at the root, and brings it natively into the platform enterprises use to activate data for AI.
As enterprises scale AI and agentic workflows, data exists everywhere, flowing dynamically across pipelines in motion as well as sitting at rest in warehouses. Ensuring that this continuous flow of data is reliable has become the difference between AI that can be trusted in production and AI that introduces risk. The trust gap is already measurable: in a Forrester Consulting study commissioned by Boomi (July 2026), 86% of leaders said their organizations had moved beyond AI agent pilots, but only 34% said they trust the actions their agentic systems take, and organizations that deployed agents before they were ready reported an average of $2.1 million in added cost. Elementary addresses the root of that gap — the data itself — by empowering data teams to detect, triage, and resolve data issues before they reach dashboards, models, devices, and AI agents.
“AI is only as trustworthy as the data behind it,” said Steve Lucas, Chairman and CEO of Boomi. “With Elementary, adopted by more than 1,500 data teams, with a ~4,000-member community, and downloaded over a million times a month, we’re adding the observability, quality, and governance layer that ensures the data activating our customers’ AI and agents is reliable, explainable, and enterprise-ready.”
Trusted data for the AI era
Elementary began as an open-source project in 2022 and has since been adopted by 1,500+ data teams, with 1.1M + monthly downloads, and a ~4,000-member community. Its code-first design made data observability a natural part of the modern data workflow, while Elementary Cloud added the enterprise-grade capabilities teams need to scale. With the acquisition, Boomi customers will gain access to capabilities including:
- Agent-driven pipeline monitoring that autonomously detects freshness, volume, and quality anomalies before they reach downstream assets.
- Column-level lineage across ingestion, transformation, semantic layers, BI, and AI.
- Governance and discovery with a shared catalog, ownership, tags, and health scores.
- An MCP server that exposes data context and health to AI tools and agents.
- AI agents that automate test creation, incident triage, governance, and performance optimization.
“We started Elementary on a simple conviction: data teams deserved the same reliability tooling that software engineering teams have relied on for years. AI made that conviction urgent,” said Maayan Salom, CEO and Co-Founder of Elementary. “When agents act on your data at machine speed, trust in that data stops being a nice-to-have and becomes the foundation the whole enterprise stands on. Joining Boomi, with 30,000+ customers and 800+ partners, lets us make trusted data the default for the AI era, not the exception. We’re just getting started.”
