AI Layer for Self-hosted OpenSearch on Ubuntu 24.04 support by ATH
ATH Infosystems · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
<section>
<p>
Show the rest of the publisher’s description (78 more lines)
<strong>AI Layer for Self-hosted OpenSearch with Free Maintenance Support by ATH Infosystems</strong>
is a repackaged software offering designed to extend self-hosted OpenSearch environments
with AI-powered capabilities. It provides an integration layer for applying artificial
intelligence and machine learning techniques to search, analytics, observability, and
enterprise data stored in OpenSearch. The solution is designed to help developers,
DevOps teams, data engineers, security teams, and enterprises build intelligent search
and analytics workflows while maintaining control over their data and infrastructure.
</p>
<p>
This offering provides a ready-to-use AI integration environment that can work with
self-hosted OpenSearch deployments. It can help organizations enhance search
experiences, analyze indexed information, build intelligent data workflows, and
integrate AI models with OpenSearch-based applications. By keeping the OpenSearch
environment self-hosted, organizations can maintain greater control over deployment,
networking, access policies, and data processing requirements.
</p>
<p>
The AI layer can be used as a foundation for intelligent search applications,
semantic retrieval, question-answering workflows, document analysis, knowledge
discovery, and AI-assisted observability. Depending on the configured OpenSearch
environment and supported integrations, AI models can be connected to indexed data
to provide more contextual search and analytical experiences.
</p>
<p><strong>Key Features of AI Layer for Self-hosted OpenSearch:</strong></p>
<ul>
<li>AI integration layer for self-hosted OpenSearch environments.</li>
<li>Support for AI-powered search and data discovery workflows.</li>
<li>Integration capabilities for machine learning and AI models.</li>
<li>Semantic and context-aware search use cases.</li>
<li>Support for document and knowledge discovery workflows.</li>
<li>AI-assisted analysis of OpenSearch-indexed information.</li>
<li>Integration with existing OpenSearch search and analytics environments.</li>
<li>Suitable for enterprise search and intelligent information retrieval.</li>
<li>Useful for observability, log analysis, and security analytics workflows.</li>
<li>Self-hosted deployment for greater infrastructure and data control.</li>
<li>Suitable for development, testing, and production AI workloads.</li>
<li>Integration with cloud and on-premises infrastructure environments.</li>
</ul>
<p>
<strong>AI-Powered Search and Retrieval:</strong> The solution can help organizations
build intelligent search experiences on top of OpenSearch data. AI and machine learning
integrations can be used to improve information discovery, provide contextual results,
and support applications that need to retrieve relevant information from large
collections of indexed documents and records.
</p>
<p>
<strong>Self-Hosted Architecture:</strong> The AI layer is designed for organizations
that prefer to operate their OpenSearch and AI workloads within infrastructure they
control. This approach can support customized networking, access controls, storage,
monitoring, and operational policies while integrating AI capabilities with existing
OpenSearch deployments.
</p>
<p>
<strong>Deployment and Integration:</strong> The environment can be deployed on cloud
infrastructure such as AWS EC2 and integrated with self-hosted OpenSearch clusters.
Organizations can use standard infrastructure services for networking, storage,
security, monitoring, logging, and automation according to their deployment
requirements.
</p>
<p>
<strong>ATH Infosystems Support:</strong> Optional maintenance support may include
installation and configuration assistance, OpenSearch integration, AI environment
troubleshooting, updates, deployment assistance, and operational guidance.
</p>
<p>
<strong>Keywords:</strong> AI Layer, OpenSearch, self-hosted OpenSearch, AI-powered
search, semantic search, machine learning, artificial intelligence, intelligent search,
vector search, data discovery, knowledge discovery, document analysis, enterprise
search, AI integration, OpenSearch analytics, observability, security analytics,
AWS EC2, self-hosted AI, ATH Infosystems.
</p>
<p>
<strong>Disclaimer:</strong> OpenSearch and related trademarks belong to their
respective owners. This offering is independently packaged, maintained, and supported
by ATH Infosystems and is not affiliated with or endorsed by the OpenSearch project
or its respective owners unless explicitly stated otherwise.
</p>
</section>
Highlights
Highlighted by the publisher on AWS Marketplace.
Uses OpenSearch k-NN plugin (FAISS / Lucene engine)
Extend via OpenSearch plugins (ML Commons, k-NN, Security)
Combines BM25 (keyword search) + vector search
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 · as of 2026-08-29
Reconciled on 9/3/2026
Plans and pricing as listed
21 listed- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
- Hrs
Refund terms
As stated by the publisher on AWS Marketplace.
No Refund
Sources
Linked 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.

