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Agent passport

Agentic Document Extraction

LandingAI · Finance & Accounting

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 · G2 4
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.

Enterprises depend on millions of unstructured documents - financial statements, medical forms, contracts, engineering drawings - that traditional OCR and LLM pipelines fail to handle. Without visual context or traceability, automation breaks, accuracy drops, and trust erodes. <br><br>Agentic Document Extraction (ADE) combines vision, reasoning, and validation to deliver enterprise-grade document intelligence. Powered by the Document Pre-trained Transformer (DPT-2), ADE interprets both what's written and how it's structured - grounding every extracted element visually and semantically for auditability and confidence.<br><br> ADE Parse, Split, and Extract APIs: </p><ul><li><p>Convert complex, real-world documents into accurate, structured outputs</p></li><li><p>Work on any document type, no training or fine-tuning required</p></li><li><p>Provide visually grounded, verifiable outputs in Markdown and JSON</p></li><li><p>Integrate easily via REST APIs and Python or TypeScript libraries<br></p></li></ul>

<br> For more information or to request a Private Offer, please contact Sales@Landing.ai.

Highlights

Highlighted by the publisher on AWS Marketplace.

Accurate on Complex Docs: Built for real-world documents with dense tables, multi-page layouts, and visual structures - not just clean OCR text.

Auditable by Design: Every extracted value is grounded to its source with precise coordinates. Confidence scores highlight results that may require review.

Autonomous at Scale: Process large document volumes with minimal human intervention while maintaining accuracy and traceability.

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

CompanyLandingAIAutomated

Plans and pricing as listed

1 listed
ADE Credits
  • Units
$10,000,000.00
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

All fees are non-refundable. Contact Support@Landing.AI for questions.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
CustomEulaCustomEulaSource

Publisher resources

3 links
Start for Freelogin.landing.aiSource
ADE Documentationdocs.landing.aiSource
Benchmarkslanding.aiSource

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
Start for Free: https://login.landing.ai/register?app_id=dx7s8zmxbo4nkug94cbib ADE Documentation: https://docs.landing.ai/ Benchmarks: https://landing.ai/blog/superhuman-on-docvqa-without-images-in-qa-agentic-document-extraction <p>Contact Customer Success by emailing <a target="_blank" rel="noopener noreferrer nofollow" class="editor-link" href="mailto:Support@Landing.ai">Support@Landing.ai</a> for assistance with LandingAI solutions.</p><br>Support@landing.ai
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