Still on Informatica PowerCenter? That’s SO last decade.

Your cloud data platform is live, but you’re still maintaining PowerCenter pipelines nobody's touched in years. You’re trapped in a complex, legacy Informatica environment you can't control or get off, and an expensive renewal is coming. 

Maia autonomously migrates even the most complex PowerCenter pipelines so they’re documented and production-ready before the invoice arrives. No multi-year GSI engagement needed.
Trusted by the world’s most ambitious data teams
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PowerCenter was the right answer in 2005.

Today, it's your most expensive constraint.
Informatica PowerCenter was designed for an on-prem, pre-AI data world. Now, in the era of the cloud data platform, the gap between what PowerCenter does and what your data team needs to deliver is widening every quarter, and the end-of-support timelines narrowing.

Autonomous migration to AI Data Automation - not another ETL platform

Maia breaks the trap. AI agents migrate your Informatica PowerCenter ETL pipelines to production-ready, AI-native pipelines on Snowflake or Databricks, automatically. Engineers review, approve, and ship.
They don't rewrite. They don't spend another quarter in incident response for a system that should have been replaced years ago.

When the next renewal lands, you'll know what the alternative looks like, because you've already moved.

See the difference for yourself.

One platform is built for where your data stack is going. The other isn't.
Features
Current State
Stop paying legacy ETL licence fees
Skip the GSI engagement and six-figure contract
Complete migration in weeks, not 18 months
Migration output that's production-ready from day one
Engineers spending time building, not maintaining
Lineage, tests, and documentation auto-generated
AI initiatives unblocked from the delivery backlog
Business logic no longer held hostage in legacy pipelines

The business case for AI Data Automation is clear.

Maia customers running PowerCenter migrations have eliminated the licence duplication, the maintenance overhead, and the forced dependency, without the six-figure GSI engagement that made the conversation impossible before.
22,000+
hours saved
90%
manual work deduction
$100K-$250K
average customer savings
100X
data engineer throughput

Run the numbers
before your renew

Enjoy the freedom to do more with Maia on your side.

Our latest customer stories

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“Maia offers a glimpse into the future of data engineering.”
“It’s intuitive, powerful, and feels like a real accelerant for how teams build with data. I’m excited about what this will unlock.”
Sridhar Ramaswamy
CEO at Snowflake