See Maia work for
your architecture
Ready to move from generic pipelines to yours? Talk to the team.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
with Maia.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
In-person
Maia workshops.
A working use case by the end.
WHAT'S NEW WITH MAIA · SPRING 2026
Maia is the data team that runs in your architecture.
Four capabilities have launched. Maia now knows your naming conventions, architecture standards, migration backlog, and team’s exact patterns.
KEYNOTE
CEO keynote
From AI copilots to AI-executed production data engineering.
Discover why making the existing model of data engineering faster isn't the answer, and what changes when the system itself takes on the work, end-to-end, at scale. Our CEO, Matthew Scullion, speaks on the paradigm shift behind Maia, and what it means for your migration backlog and AI roadmap.
Most AI data tools generate code. Maia runs your data engineering.
Mission Control, Context Engine, Skills & Planning, Migration Agents. Four capabilities pointing in one direction: Maia learns your environment continuously, plans before it builds, runs migrations, new builds, and quality fixes in parallel. Maia remembers and ships every pipeline in your architecture by default. Production-grade isn't a future feature. It's what shipped this spring.
With Maia, you can say yes to every AI initiative on the roadmap, without adding a single headcount.
Live demos
SOPHOS
Making AI delivery predictable at enterprise scale
Sophos CDAO on taking a pipeline task from 5 days to 30 minutes, an 80× improvement, and what it takes to make AI execution dependable at enterprise scale.
By the numbers
6 min
Per-pipeline migration, down from 1 week
Balfour Beatty · Mark Hume
1,300%
Efficiency gain in sentiment analysis operations
St. James’s Place
40,000
Human hours saved, 11 years of FTE effort
St. James’s Place · Kelly Maggs
$100K
Saved in consultancy & services spend
Edmund Optics
85%
Faster than manual migration rewrite
Partner case study · March 2026
“Maia makes the impossible, possible. We'd almost given up hope, this has given us a new hope that we can shortcut that process.”
Mark Hume
Head of Data, Balfour Beatty
Capabilities launched
1. Mission Control
Manage every Maia job from a single Kanban board, the control plane for your agentic data team.
2. Context Engine
Learns your environment, naming conventions, data contracts, and keeps learning as your stack evolves.
Learn More
3. Skills & Planning
Encode your team's patterns and show the build plan before a line of code.
4. Migration Agents
Rebuild your Informatica, Alteryx, SSIS, Talend, and Qlik estate natively in Snowflake, Databricks, or AWS.
Learn More
1. Mission Control
Manage every Maia job from a single Kanban board, the control plane for your agentic data team.
2. Context Engine
Learns your environment, naming conventions, data contracts, and keeps learning as your stack evolves.
Learn More
3. Skills & Planning
Encode your team's patterns and show the build plan before a line of code.
4. Migration Agents
Rebuild your Informatica, Alteryx, SSIS, Talend, and Qlik estate natively in Snowflake, Databricks, or AWS.
Learn More
Missed us at Snowflake Summit?
Catch up on all the action!
Learn more
What's in it for your team
Four releases. Four operational shifts. Here's what Maia changes for your team.
From
- Every pipeline manually reviewed against your standards, and only when reviewers have time
- 18-month migration backlogs and six-figure annual budgets locked in Informatica licenses
- Every AI tool re-prompted with your architecture, and watching it forget by the next session
- Engineers babysitting pipelines, hunting failures, and sitting in status meeting.
To
- Context Engine encodes your institutional and tribal knowledge. Every pipeline ships your way by default
- Migration Agents read Informatica, Alteryx, SSIS, Talend, Qlik, and rebuild them natively in Snowflake, Databricks, Redshift, or BigQuery. Balfour Beatty: 1 week per pipeline → 6 minutes
- Skills learn how your team works. Planning shows the build before a line of code. Maia remembers your environment forever
- Mission Control puts every job on one Kanban board. Maia plans, surfaces work for approval, executes, and reports back. Your team manages outcomes, not tasks
See Maia work for
