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A working use case by the end.
Still on Informatica PowerCenter?
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 consultancy engagement needed.
Maia autonomously migrates even the most complex PowerCenter pipelines so they’re documented and production-ready before the invoice arrives. No multi-year consultancy engagement needed.
Fill out the form below to book your Maia demo
Powering data products at scale
Trusted by 1000+ of the world's best enterprises and their data teams.
How Maia works
Maia operates as a unified platform built on three integrated layers
The migration tax, eliminated
Migration has a hidden cost: the work your engineers aren't doing while they're rebuilding what already exists. Maia converts it and frees up your engineers to build high-leverage data products instead.
- Before Migration AgentAfter Migration Agent
18-month GSI engagement
Stable, autonomous conversion - logic preserved exactly- Six-figure consulting costMulti-quarter programs compressed into weeks
- Engineers manually rebuildingEngineers shift from builders to reviewers
- Two licence fees for the same jobNative, warehouse-optimised ELT output
- AI initiatives blocked by backlogModernized pipelines, not just migrated ones
Why Maia works for you
Whether you're building it, buying it, or both, Maia replaces the guesswork with a process that actually ships.
1
For practitioners
Engineers shift from builders to managers, inspecting generated pipelines rather than recreating them from scratch.
2
For buyers
Multi-quarter migration programs compressed into a predictable, repeatable process. No GSI. No business disruption.
3
For everyone
Predictable, validated pipeline conversion, with business logic preserved exactly. Nothing guessed, nothing silently dropped.
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Freedom to Migrate
Legacy ETL costs more to run and maintain
than to replace
Legacy migration has always had a confidence problem. You can move the pipelines, but can you trust what comes out the other side? Maia is built to answer that question directly. The stable conversion process produces consistent, reviewable output, with lineage documented and quality gates built in. Your engineers review before it deploys. They don't inherit a migration to finish. They review one that's already been done for them.
Migrate
Describe your existing pipeline logic. Maia analyzes your Informatica PowerCenter or Alteryx ETL workloads and converts their business intent into documented, validated, AI-native cloud pipelines. Lineage is captured automatically. Quality gates are built in. Your engineers review before it ships, they don't rewrite after it breaks.
Stable conversion | Git-committed | Lineage auto-documented
Monitor
Schema drift doesn't wait for business hours. Maia monitors for changes continuously, auto-remediates where it can, and logs every change with a complete audit trail. Your engineers get notified with context, not woken up to diagnose something they didn't break.
Auto-remediation | Change log | Complete audit trail
When the pipeline
fails in a regulated environment
Built for environments where getting it wrong isn't an option.
Migrating off Informatica or Alteryx in financial services, healthcare, or manufacturing isn't just a technology project. It's a compliance event. Every pipeline carries business logic that needs to be traceable, documented, and auditable before it goes anywhere near production. Maia is built for that.
Maia is running enterprise migrations in production environments, not sandboxes built to pass a proof of concept. Enterprise customers get a dedicated support team engaged from day one of the migration, not day one of the contract renewal.
See Maia in action
Governance without gridlock
Regulated migrations need an audit trail, not just an outcome. Maia enforces role-based access controls on every AI action, runs Git-based workflows your compliance team can actually sign off on, and logs every pipeline change from the first migration run to the last production deploy. Nothing moves without a record of how it got there.
Security your InfoSec team can approve
Maia's cloud infrastructure meets SOC 2, HIPAA, and GDPR compliance standards - all verifiable through stringent compliance documentation for your InfoSec team. Data is encrypted at rest and in transit. AI operations are governed and logged, processed under strict access controls, not stored where they shouldn't be. Scale that matches an enterprise migration.
Featured Customer Story
From days to hours: How St. James’s Place cut ETL migration effort by two-thirds with Maia
Platform modernization stalls when legacy ETL migrations consume the engineering capacity needed to drive it forward. For St. James's Place (SJP), one of the UK's leading wealth management businesses, manually rewriting and validating pipelines was taking
days per job. In a proof of concept with Maia, the AI Data Automation platform, SJP cut that effort by roughly two-thirds - freeing engineers to focus on higher-value work and accelerating their path to a consolidated, modern data platform.
Read case study
“Maia reduced ETL migration effort by around two-thirds, taking work from days to hours… Platform consolidation will help us to reinvest in the team, to enable us to build out more on the SAP and AI roadmap of tomorrow”
KM
Kelly Maggs
Director for Data Architecture Platform and Engineering.
2/3 reduction
in legacy ETL migration effort per pipeline
Days → Hours
turnaround on individual pipeline conversions
Engineering capacity freed
and reinvested into SAP modernization and AI roadmap - without additional headcount
Run the numbers
