SuperDuper
ATH Infosystems · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
SuperDuper is an open-source AI and data platform that enables developers to integrate machine learning models, large language models (LLMs), vector search, and AI workflows directly with existing databases and data systems. It provides a unified framework for building AI-powered applications, retrieval-augmented generation (RAG) solutions, semantic search systems, and intelligent data pipelines without requiring complex data migrations or specialized infrastructure. SuperDuper can be deployed in self-managed environments and integrated with popular AI frameworks, databases, and cloud platforms.
Key Features of SuperDuper:
Show the rest of the publisher’s description (24 more lines)
- Open-source AI and data platform for building intelligent applications.
- Integrates machine learning models and large language models directly with existing databases.
- Supports retrieval-augmented generation (RAG) workflows and AI-powered applications.
- Provides vector search and semantic search capabilities for unstructured data.
- Enables AI model deployment and management within data workflows.
- Supports integration with multiple databases, storage systems, and data platforms.
- Provides a unified framework for combining data processing and AI operations.
- Supports automated data enrichment and intelligent data pipelines.
- Compatible with popular AI frameworks and model providers.
- Facilitates development of AI assistants, recommendation systems, and knowledge applications.
- Provides scalable architecture for enterprise AI and data workloads.
- Supports deployment in self-hosted, cloud, and hybrid environments.
- Enables efficient management of AI models, embeddings, and vector indexes.
- Offers extensible APIs for building custom AI-powered solutions.
- Suitable for developers, data engineers, AI researchers, enterprises, and organizations adopting AI technologies.
SuperDuper Usage:
$sudo su
$ source /opt/superduper/venv/bin/activate
Check Installation:
$ python -c "import superduper; print('SuperDuper installed successfully')"
Check Version:
$ pip show superduper-framework
Disclaimer:
SuperDuper is open-source software developed and maintained by the SuperDuper community and its respective contributors. SuperDuper is not affiliated with or endorsed by any third-party AI provider, cloud platform, database vendor, operating system vendor, hardware manufacturer, or machine learning framework mentioned for compatibility, integration, or deployment purposes.
Agent build and provenance
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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 · as of 2026-08-29
Reconciled on 9/3/2026
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.

