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Boomi buys Elementary Data to boost AI reliability

Boomi buys Elementary Data to boost AI reliability

Mon, 19th Oct 2026 (Today)
Mara Sugue
MARA SUGUE News Editor

Boomi has acquired data observability provider Elementary Data, adding data reliability tools to its platform for AI-related data management.

Elementary began as an open-source project in 2022 and has since been adopted by more than 1,500 data teams, with more than 1.1 million monthly downloads and a community of about 4,000 members. The acquisition brings together observability, quality, governance and discovery functions aimed at reducing errors in the data used by AI systems and automated workflows.

The deal is Boomi's latest acquisition following its purchase of Lunar.dev. Elementary's software helps data teams detect, triage and resolve issues before they affect dashboards, models, devices and AI agents.

Boomi is positioning the transaction around growing concern among companies moving AI systems beyond pilot projects. As businesses allow software agents to make decisions and trigger actions, errors in source data can lead to flawed outputs or actions that are difficult to trace once systems are running at scale.

A Forrester Consulting study commissioned by Boomi found that 86 per cent of leaders said their organisations had moved beyond AI agent pilots, while 34 per cent said they trust the actions those systems take. The study also found that organisations that deployed agents before they were ready reported an average of USD $2.1 million in added costs.

Elementary's products include monitoring for pipeline freshness, volume and quality anomalies, column-level lineage, a shared data catalogue, ownership and tagging functions, health scores, and tools designed to expose data context to AI systems. It also offers AI-based tools for test creation, incident triage, governance and performance optimisation.

These functions will complement Boomi's existing Active Data Foundation, which is designed to move and govern data across applications, devices and AI agents. Boomi argues that enterprises need visibility over both data at rest and data moving through pipelines if they want to trust AI systems in live environments.

Steve Lucas, Chairman and Chief Executive Officer of Boomi, linked the acquisition to the company's broader AI strategy.

"AI is only as trustworthy as the data behind it," said Steve Lucas, Chairman and Chief Executive Officer 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."

Open-source roots

Elementary built its initial user base through its open-source project before introducing Elementary Cloud in 2024. Boomi said there are no immediate changes planned for the open-source repository, release process or community use following the acquisition.

The deal also reflects consolidation across software markets tied to AI deployment, as vendors seek to offer a broader set of tools covering integration, governance, connectivity and monitoring in one environment. In Boomi's view, Elementary adds a layer focused on whether data and the pipelines producing it can be trusted continuously, rather than checked only at fixed points.

That distinction is becoming more important as companies rely on AI systems to interact directly with operational data. Traditional data quality processes have often focused on whether a dataset is accurate or complete at a given moment. Data observability, by contrast, tracks changes in structure, volume, freshness and lineage across the systems that produce and distribute that data.

AI trust gap

For companies trying to move AI into production, that approach is increasingly being treated as part of risk management rather than a back-office technical task. The concern is that stale, incomplete, or poorly governed data can flow into automated systems before teams notice, especially when agents act across multiple business applications.

Maayan Salom, Chief Executive Officer and Co-Founder of Elementary, said the company was created to bring software engineering reliability practices into data operations.

"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, Chief Executive Officer 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."