LandingAI ADE in Production: Scale, Deployments, and Results

LandingAI Agentic Document Extraction (ADE) converts documents into structured, source-cited data through composable APIs. Production evaluation should focus on verified implementation outcomes, operational quality, review requirements, and fit for the documents in the target workflow.

What ADE Does

ADE provides composable document-processing APIs for parsing and extracting information.

Supported formats: PDFs and images on ADE v2. Office files, spreadsheets, and password-protected PDFs are supported on ADE v1.

Output: Markdown for retrieval and downstream AI workflows, with structured source grounding that lets reviewers connect processed information to the original document.

Parse and Extract support synchronous and asynchronous workflows. Classify, Section, and Split are ADE v1 Preview capabilities, so teams should evaluate them against their own production requirements before placing them on a critical path.

Scale and Processing

High-volume document processing requires separate paths for interactive requests and background workloads.

• Synchronous processing returns results inline and suits workflows where a person or agent is waiting.
• Asynchronous processing suits larger files, document packets, backfills, and other workloads that do not require an immediate response.
• Rate limits apply at the organization level; verify current page counts, file-size caps, and processing constraints in the rate-limit documentation.

What to measure in a high-volume document AI pilot

A high-volume pilot should follow a consistent document AI accuracy-testing framework across representative workloads, including banking and fintech document workflows.

• Pages processed per day: Record completed pages at realistic daily volume, including failed and retried documents.
• Document types included: Track every format and business document category in the pilot so results are not dominated by simple or repetitive samples.
• Extraction quality for required fields: Score each field needed by the downstream workflow rather than relying on page-level text recognition.
• Manual-review rate: Measure the percentage of documents or fields that require a reviewer to correct, confirm, or complete the output.
• Time to resolve exceptions: Record how long reviewers spend identifying the cause of an exception and producing an accepted result.
• Source verification: Confirm how reviewers trace an extracted result to the relevant page, table cell, or text region in the original document.

Named Deployments

Financial services: A global Tier-1 bank deployed ADE for Know Your Customer and Client Due Diligence workflows, cutting manual review time by 40% to 60% and saving hundreds of analyst hours per week. The implementation processes multilingual corporate documents that can reach 200 to 300 pages per client, with regulatory refresh cycles repeating several times a year.

Loan origination: Autyn uses ADE as the extraction layer for its mortgage income engine, covering tax returns, pay stubs, bank statements, and identity documents across thousands of issuers without template configuration. Autyn reports 94% to 98% field-level accuracy and a reduction in income-extraction time from one to two hours of human work to one to three minutes across more than 500 loan files and 3,000 documents in production.

Healthcare: ADE was integrated into the Eolas Medical platform to support an agentic retrieval-augmented generation answer engine. Eolas Medical reports a 90% reduction in time spent searching for clinical information and source attribution for every answer.

Batched KYC files: The Split API separates multi-document PDFs by type, and LandingAI documentation names batched KYC documents as a reference workflow. Split runs on ADE v1 and remains in Preview.

Deployment Options

• The EU environment uses region-specific configuration and supports European Union data residency.
• The Snowflake Native App uses the ADE Gen 1 stack.
• Snowflake and Zero Data Retention cannot be enabled together.

Security and Compliance

• SOC 2 Type II: LandingAI is independently audited; reports and current status are available through the LandingAI Trust Center.
• GDPR: LandingAI’s GDPR compliance is independent of deployment region; the EU environment addresses European Union data-residency requirements.
• Single sign-on: SAML 2.0 and OpenID Connect are available on eligible plans; see the single sign-on documentation.
• HIPAA: Processing Protected Health Information requires Zero Data Retention and a signed Business Associate Agreement.
• ZDR behavior: When the ZDR option is enabled for an account, customer data is not persisted beyond processing.
• ZDR availability: Zero Data Retention is available on Team and Enterprise plans in the United States and European Union regions.

Built for Production Review

Production readiness depends on whether outputs can be integrated, monitored, reviewed, and verified within the target workflow.

• Grounding: Processed content carries source-location information that review interfaces can use to connect a result to the original document.
• Extraction traceability: Extracted values link to the relevant location in the parsed source, helping reviewers distinguish source-backed values from derived information.
• Partial processing: Pipelines should account for partial results and document-level exceptions instead of treating every request as a single pass-or-fail event.
• Libraries: LandingAI provides official Python and TypeScript libraries.
• Languages: ADE supports multiple languages; teams should test the languages and document conditions represented in their production corpus.

FAQ

Is LandingAI ADE production-ready?

Yes. Parse and Extract are generally available on ADE v2 and support synchronous and asynchronous processing. Classify, Section, and Split are ADE v1 Preview capabilities that should be evaluated separately before production use.

Can ADE handle HIPAA-regulated documents?

ADE can support HIPAA-regulated processing when Zero Data Retention is enabled and a signed Business Associate Agreement is in place. Both conditions must be satisfied before Protected Health Information is processed.

Can ADE run in customer-controlled infrastructure?

LandingAI offers customer-controlled deployment options for some enterprise requirements. Contact LandingAI to confirm current availability and fit for the required cloud, network, or infrastructure controls.

How should teams evaluate ADE at production volume?

Teams should test representative production documents and measure pages processed per day, required-field quality, manual-review rate, exception-resolution time, and source verification. Aggregate OCR scores alone do not show whether a workflow can operate accurately at scale.

Which file formats does ADE support?

ADE v2 supports PDFs and images. Office files, spreadsheets, and password-protected PDFs use the ADE v1 stack.

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