Galileo.XAI
LARUS BUSINESS AUTOMATION SRL · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
AI and machine learning models benefit immensely from graph-based data. Traditional AI models learn from isolated pieces of information, but graph-based AI can leverage the context provided by the connections between data points. This approach offers several benefits:
- Contextual Learning: Graph-AI learns not just from the data itself but from the relationships and interactions between data points. This leads to more accurate and nuanced models.
- Enhanced Predictions: By understanding the context and connections, AI models can make better predictions and recommendations.
- Scalable Learning: Graph-based learning can efficiently handle large and complex datasets, making it suitable for real-world applications where data is vast and interconnected.
Preview
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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
Sources
Publisher resources
1 linkLinked 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.

