Onboarding files hold IDs and proof of address for individuals, and formation, tax and ownership records for businesses. Analysts match names, numbers and owners across every one of them.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
A corporate client's file covers registration records, ownership structures, directorships, annual reports and jurisdiction-specific filings. At one global bank, a single client's documents reach 200 to 300 pages.1
The legal name, EIN, address and owners must agree across the application, the formation document, the EIN notice, licenses and each owner's ID before the account opens.
Periodic reviews re-collect and re-read the same file on a schedule set by risk. Fenergo's 2025 research found only about a third of periodic KYC reviews automated.2
The same Parse call reads a utility bill, an IRS CP 575 and a business registration. Every document type uses one set of APIs, with zero templates to build and zero models to train or fine-tune.
A new form, issuer or document type works on its first call, with nothing to configure.
If an issuer redesigns a form or a new version arrives, no pipeline changes are needed.
Upload a sample in the Playground; agentic reasoning will immediately understand it.
Parse reads a combined upload, including multi-hundred-page filings, scans and character-based languages, into structured Markdown and keeps ownership tables intact.
Parse API →Split takes the Parse output and separates the pack into passports, formation documents, EIN notices and statements, with the page range of each.
Split API →Extract returns names, identifiers, addresses, owners and ownership percentages as JSON that matches your KYC schema.
Extract API →Ground maps each extracted value to the block, page and bounding box it came from, so an analyst checks a mismatch on the original document before approving the file.
Ground docs →Trusted, high-volume processing of the documents involved in KYC and KYB requires handling diverse document types and layouts. A passport is very different from a business registration, which is different from a Schedule K-1. The pipeline must provide high accuracy and consistent outputs across all of them.
Our agentic approach is able to reason over each document type and return structured hierarchical Markdown and JSON outputs that downstream systems can rely on.
Each document below links to a worked example. The documents and schemas are available in full on GitHub and you are welcome to use them for your own testing.
| Field | Source document | Used for |
|---|---|---|
| Individual | ||
| Surname, given names, date of birth, nationality and expiry | Passport | Identity match and document validity |
| Document number, issuing state and date of birth | Driver's License | Identity match |
| ITIN, name and date of birth | ITIN Notice | Taxpayer identification |
| Account holder and service address | Utility Bill | Address verification |
| Account holder, ending balance and total deposits | Bank Statement | Source of funds |
| Business | ||
| Business name, entity type, jurisdiction, filing number and registered agent | Business Registration | Entity existence |
| EIN and legal name | IRS CP 575 | Tax identity matches the formation document |
| Business name, owner and valid-through date | Business License | Authority to operate |
| Partner name and profit, loss and capital percentages | Schedule K-1 | Beneficial owners at 25 percent or more |
| Principal, agent and powers granted | Power of Attorney | Authority to act for the customer |
| Trust name, EIN and beneficiary | Trust Income Document | Trust ownership and beneficiaries |
| Corporation name, EIN, incorporation date and total assets | Form 1120 | Entity profile for enhanced due diligence |
| Debtor, secured party and collateral | UCC Lien Search | Encumbrances for enhanced due diligence |
| Screening | ||
| Listed name, sanctions list and programs | Sanctions Screening | Sanctions hit review |
| Charges and dispositions | Criminal Background Check | Adverse history review |
KYC leaders measure onboarding in three ways: the clients it keeps, the analyst capacity it uses and the strength of the evidence behind each decision.
Corporate clients judge a bank on how quickly they can transact. Files that clear review in days keep relationships that a weeks-long onboarding process puts at risk, and fewer applicants abandon the process midway.
Periodic reviews repeat the onboarding work on a schedule set by risk. Extracting the refreshed file into the same schema turns a full reread into a check of what changed since the last review.
Examiners and auditors ask where each name, number and ownership percentage came from. Grounded values answer with the page and location in the customer's own documents, for every file and every review.
A global tier-1 bank serving corporate and ultra-high-net-worth clients reviews files that reach 200 to 300 pages per client and refresh several times a year. With Agentic Document Extraction in its client due diligence workflow, the bank cut manual document review time by 40 to 60 percent and saves hundreds of analyst hours each week.
Read the global tier-1 bank case study“Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
The best accuracy on the difficult documents other tools get wrong, such as messy scans, complicated tables, checkboxes and handwriting.
Every answer cites its sources. Values come back with an audit trail (page, bounding box, character range) so a human can review them.
Applies multi-step reasoning, and plans before it acts. Handles documents it has never seen before and adapts to variations.
Composable APIs that drop into any tech stack and can be called from anywhere. Easy to build on and embed in your pipelines and products.
Cost-competitive rates with complete price transparency. Spend controls before you run, and every job reports its exact cost.
Built for production and scale from day one. Fully observable and monitored, running securely in our cloud or yours.
Available on Team and Enterprise plans. VPC and on-prem deployment require an Enterprise plan.
