Manual SQL and documentation slowed analysts for hours daily. AI now automates maintenance and lets anyone query data in plain text.
A data collaboration platform helps organizations discover, understand, and trust their data assets, serving diverse users from data engineers to business analysts.
Analysts frequently spent two to three hours daily on manual maintenance tasks like documenting assets, tracing data lineage, and writing complex SQL...
“The strength of Atlan has always been in recognizing that diversity of data teams is a feature and not a bug. We are incredibly excited about how Atlan AI using Azure OpenAI service to revolutionize data interactions for every type of data user, whether they are a data engineer, analyst, data steward, or a business user. We rely on Azure OpenAI capabilities and utilize the scalability of our existing cloud infrastructure to free data teams to spend more time driving new use cases.”
Active metadata platform for data cataloging, discovery, and governance.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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Manual code conversion bottlenecked upgrades. AI now automates the migration, saving 2 months of engineering time.
New interfaces took months to build. Now, teams ship conversational prompts in weeks, letting users control legacy apps via text.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.