Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on AWS Marketplace.
**What Maia does**
Maia brings together agentic automation, operational context, and enterprise infrastructure to deliver governed data pipelines at scale.
Show the rest of the publisher’s description (23 more lines)
**Maia Team**
An always-on team of AI agents that autonomously build, modify, and maintain production data pipelines across the delivery lifecycle.
**Maia Foundation**
The enterprise automation backbone that provides the governed, cloud-native infrastructure required to automate production data delivery at scale.
**Context Engine**
Captures business rules, governance standards, and operational knowledge so automated outputs remain aligned, reusable, and trusted over time.
**Enterprise-ready operations**
Maia is designed for enterprise data environments where governance, operational visibility, and reliability matter.
**Capabilities include:**
Git-compatible, production-ready pipeline output
Integrated lineage and operational visibility
Schema drift detection and remediation workflows
Support for CI/CD and modern engineering practices
Pushdown SQL architecture
Integration with Snowflake services and AI capabilities
Enterprise security and compliance support
**Real-world outcomes**
Organizations use Maia to help constrained data teams scale AI and analytics delivery without increasing operational complexity at the same rate.
**Examples include:**
Faster onboarding of new data sources and workflows
Reduced manual maintenance effort
Improved delivery capacity without proportional headcount growth
Accelerated modernization of legacy data workflows
Highlights
Highlighted by the publisher on AWS Marketplace.
Accelerate AI and analytics delivery Eliminate the manual data work that slows production data delivery so teams can move AI and analytics initiatives from development to production faster.
Modernize legacy data operations Replace fragmented tooling, brittle workflows, and manual processes with a unified, AI-powered delivery model.
Reduce operational overhead Automate repetitive operational work across the entire data pipeline lifecycle so lean data teams can focus on higher-value initiatives instead of maintenance.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
Refunds are not provided, but you can cancel at any time.
Sources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.