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DBbun - Document to Simulator

DBbun LLC · Intelligence & Research

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 onUnknownSaaS
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.

DBbun transforms static content into interactive, executable simulation bundles. Upload any document, image, or file - research papers, patents, news articles, technical reports, figures, and more - and receive a complete bundle containing a runnable Python simulator, structured specification (JSON), synthetic CSV datasets, publication-quality PNG figures, and comprehensive PDF documentation. The platform supports 40+ input file types and automatically detects document type, including patent-specific analysis with claim extraction and constraint mapping.

Each simulation bundle is fully self-contained and ready to run. The generated simulator extracts parameters, state variables, and scenarios directly from the source material, producing synthetic datasets that model the phenomena described in the document. For patent documents, the pipeline maps claim limitations to enforceable constraints, enabling engineers and IP professionals to explore the design space defined by patent claims. All outputs are fully synthetic - no real-world data is used or retained.

Show the rest of the publisher’s description (1 more line)

DBbun is designed for researchers, engineers, patent analysts, IP strategists, educators, and AI developers who need to quickly generate executable companions from complex documents. Use cases include teaching and curriculum development, prototyping and validation before access to real-world data, AI model training with synthetic datasets, patent landscape exploration, and technical due diligence. Built by DBbun LLC, a SAM-registered U.S. small business (CAGE: 16VU3, UEI: QY39Y38E6WG8) based in Cambridge, Massachusetts.

Highlights

Highlighted by the publisher on AWS Marketplace.

40+ file types supported - Upload research papers, patents, technical reports, images, source code, and more. AI-powered analysis automatically detects document type and extracts parameters, scenarios, and constraints.

Complete simulation bundle - Every conversion produces runnable Python code, synthetic CSV datasets, publication-quality PNG figures, a structured JSON specification, and comprehensive PDF documentation, all ready to use immediately.

Patent-aware pipeline - Automatically detects patent documents, extracts and classifies claims, maps claim limitations to simulator constraints, and generates synthetic datasets that explore the full design space defined by patent claims.

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.

Plans and pricing as listed

1 listed
Free (default)
  • Units
$0.00

Refund terms

As stated by the publisher on AWS Marketplace.

This product is currently offered free of charge. No payment is collected and therefore no refunds are applicable. If you experience any issues with the service, please contact us at contact@dbbun.com.

Sources

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

Publisher resources

1 link
See product videowww.youtube.comSource

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
1 plan listed
Delivery
SaaS
DBbun provides email-based support for all subscribers. Responses are typically provided within 24 hours on business days. Support includes help with file uploads, output interpretation, access codes, and troubleshooting. For enterprise or institutional inquiries, custom support arrangements are available. Email: contact@dbbun.com Support URL: https://dbbun.com
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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.