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Hello there,
The question I hear most from data leaders right now isn't
"should we adopt AI?" It's something closer to:
"We know we need to modernize — but how do we actually get there without breaking everything?"
The blockers are familiar. Legacy tooling that's held together with institutional knowledge. Pipelines no one fully understands anymore. A migration that looks manageable on a slide and impossible in practice.
That's exactly what we built for. Below, we're pulling back the curtain on how Maia actually handles legacy pipeline conversion — and sharing ready-to-install skills for Informatica, Alteryx, dbt, and more so your team can move faster with fewer surprises.
Install the skills →
Best,
Frank Weigel
Chief Product Officer
Maia converts your legacy pipelines. This is what's happening under the hood.
Ready-to-install skills for Informatica, Alteryx, dbt, and more. Understand mappings faster, hit fewer errors, and get to production sooner. Install now →
Scaling AI in the enterprise: capacity, governance, and what comes next
Data leaders from Landkreditt, Cyera, and AWS will explore how to expand execution capacity, deploy AI securely, and build the infrastructure for what’s next. Register now →
Live AI challenge: 100 Informatica workloads migrated in 30 minutes
Watch how teams are accelerating Informatica migration at scale — with Maia handling the heavy lifting.
Watch video →
St. James’s Place: 1,300% faster AI data analysis
SJP’s data team dramatically accelerated their AI analysis workflows by partnering with Maia.
Read story →
Featured demo
Build a Snowflake Intelligence Agent with Maia
See how to connect Maia to Snowflake and build a fully functional intelligence agent - from data ingestion to AI-ready pipelines - in a single session.
Watch demo →
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New in Maia
New public API endpoints for shared pipelines
Manage the full lifecycle of shared pipelines programmatically — publish versions, list and filter, enable/disable for rollback, and browse all pipelines in your account. Built for CI/CD integration.
Get the details →
Improved variable support
Maia now understands system variables and project variables in your environment, so it can reference what already exists instead of creating redundant pipeline variables. No special prompting needed.
Get the details →
Migrate legacy workloads with AI
Maia’s Migration Agent automates the conversion of legacy data pipelines - including Informatica workloads - directly into Maia. Cut migration project timelines from years to weeks.
Explore Migration Agent →
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The time it takes us to get a pipeline from concept to production is just vanishing before our eyes.
Daniel Adams,
Global Analytics Manager, Edmund Optics
See Maia in action
Book a personalised demo and find out how AI data automation can free your team to do more.
Book a demo →
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