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AI Layer for Self-hosted OpenSearch on Ubuntu 24.04 support by ATH

ATH Infosystems · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownVirtual machine
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

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

Government
  • 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

CompanyATH Infosystems Pvt. Ltd.Verified
HQUnited States of AmericaVerified
IndustryTechnologyAutomated
Websitehttps://www.athinfosys.com/

Reconciled on 9/3/2026

Plans and pricing as listed

21 listed
m4.large
  • Hrs
$0.10
t2.micro
  • Hrs
$0.001
t3.micro
  • Hrs
$0.10
r3.large
  • Hrs
$0.10
r4.large
  • Hrs
$0.10
t3.large
  • Hrs
$0.10
t2.large
  • Hrs
$0.10
t3.medium
  • Hrs
$0.10
t2.2xlarge
  • Hrs
$0.10
t2.medium
  • Hrs
$0.10
t3.nano
  • Hrs
$0.10
c4.large
  • Hrs
$0.10
and 9 more plans on the listing

Refund terms

As stated by the publisher on AWS Marketplace.

No refund

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Linked repositories

RepositoriesUnknownUnknown

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.

Pricing
Paid
21 plans listed
Delivery
Virtual machine
https://www.athinfosys.com/ContactUs.aspx support@athinfosys.com
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