Structured data from any document.
Accurate. Every time.

Structured data from any document.
Accurate. Every time.

DocLoom extracts clean, structured data from PDFs, images, and forms - routing to the best OCR engine, normalising to Markdown, and self-correcting low-confidence fields automatically.

DocLoom extracts clean, structured data from PDFs, images, and forms - routing to the best OCR engine, normalising to Markdown, and self-correcting low-confidence fields automatically.

See DocLoom In Action →

Request a demo →

Structured data from any document.
Accurate. Every time.

DocLoom extracts clean, structured data from PDFs, images, and forms - routing to the best OCR engine, normalising to Markdown, and self-correcting low-confidence fields automatically.

See DocLoom In Action →

Request a demo →

OCR gives you text. DocLoom gives you data.

UNRELIABLE

OCR breaks on complexity

Standard OCR breaks on complex layouts, tables, and low-quality scans.

DOCLOOM

Multi-engine routing always picks the best fit.

INCONSISTENT

Every tool, a different shape

Output format varies by provider - every tool produces different structure.

DOCLOOM

Markdown-first normalisation across all providers.

SILENT ERRORS

Bad fields slip through

Low-confidence extractions pass through without correction.

DOCLOOM

Confidence-aware self-correction on every low-quality field.

COSTLY

Cloud OCR adds up

Cloud OCR at scale adds up - especially for sensitive document types.

DOCLOOM

Local LLM option - zero marginal cost, zero data egress.

Upload once.

Get structured data back - clean, mapped, and verified.

1

Ingest

Upload PDF, JPEG, or PNG via API, SDK, or portal. Each document is analysed for layout, complexity, and Markdown compatibility before routing begins.

2

Route

The Decider Engine selects the optimal OCR provider by document type, layout, and cost — with a ranked fallback chain prepared if the primary provider fails.

3

Extract

Raw OCR output is normalised to clean Markdown — tables, headers, and structure preserved. An LLM maps it to your JSON schema using your custom extraction instructions.

4

Self-correct

Every field is confidence-scored. Fields below your threshold trigger automatic re-extraction with a higher-capability provider, then merge back into the final output.

Loops until verified

Live Demo

Live Demo

Watch DocLoom extract a real document — field by field.

Uploaded. Routed. Extracted. Self-corrected. Under 60 seconds.

Uploaded

Routed

Extracted

Self-corrected

Want to see it on your documents? Request a demo →

EU CTR submission is not a technology problem.
It is an operations problem. 

EU CTR submission is not a technology problem.
It is an operations problem. 

Regulatory delays alone account for 3–5 months of a trial's
pre-enrolment window - before a single patient is screened

Regulatory delays alone account for 3–5 months of a trial's
pre-enrolment window - before a single patient is screened

01

Submission Preparation 
Manual submission preparation takes 10–14 weeks per country package. 40% of that is avoidable rework. 

02

Regulatory Rework 
47% of submissions trigger an RFI from national competent authorities - forcing weeks of rework before trial initiation even begins. 

03

Cross-Document Validation 
Small inconsistencies across protocols, consent forms, and recruitment materials often lead to avoidable IRB rejections and review delays. 

A governed intelligence layer that runs inside your regulatory operations - not on top of them.

elsai doesn't replace your CTMS, eIRB, or document authoring tools. It wires a governed execution layer directly into them — automating cross-document validation, per-country compliance checks, and submission assembly while your regulatory leads retain full sign-off authority.

EU CTR Domain Intelligence

Per-country rulesets for EU CTR Part I, CTIS fields, and Part II requirements — built in, not bolted on. 

Human Authority Protected

Every submission bundle reviewed and approved by a qualified regulatory lead before it exits. EU AI Act high-risk classification compliant. Always.

Full Traceability

Agent Resource Management System logs every extraction, validation, and submission decision. Defensible audit trails without additional documentation overhead.

Works on your infrastructure

Veeva Vault

Medidata Rave

CTIS

EMA Gateway

Runs on AWS

Azure

On-Premise

See your document mismatches before the IRB does

THE PROBLEM IT SOLVES

One minor inconsistency.
Weeks of rework.

Writers, physicians, and regulatory and QA teams manage multiple Word and PDF files simultaneously under tight deadlines. Age ranges, schedules, risks, compensation - any mismatch triggers IRB rejections and costly modifications required cycles.

IRB Rejection

Modifications Required Cycles

Weeks of Rework Per Study

WHAT IT DOES

Collect & version
all study documents

Extract key info
across all of them

Verify consistency
flag every mismatch

Side-by-side
review summary

Audit-ready report
for IRB / sponsor

WHO USES IT

Medical Writers and Clinical Scientists

Regulatory Affairs and IRB Liaisons

Principal Investigators

Site Staff

Explore the clinical protocol audit agent →

Explore →

Governance: Checkpoints logged. Issues flagged. Resolutions documented. Changes and approvals always remain with your team.

Governance: Source provenance is maintained, low-confidence outputs are routed for human review, and every decision is observable through ARMS. 

Integrate with what you have. Run on what you trust.

Whether you're managing defense suppliers, aerospace programmes, regulated healthcare vendors, or financial services partners, elsai provides a governed operational layer across any procurement workflows.

Begin with one study. Standardise across your portfolio.

01

STEP 1
Identify the protocol-consent alignment review where IRB comments or amendment cycles cost the most time. Start there.

STEP 1

Identify the workflow
where delays, denials, or documentation gaps cost the most. Start there.

02

STEP 2
Connect your CTMS, eIRB, and document repositories. The agent works alongside Word, Google Docs, and sponsor templates — your team drafts the same way they always have.

03

STEP 3
Run on one study, review findings with your regulatory and QA teams, then expand across more studies, amendments, and sites.

EU regulatory submission is complex. Production-grade automation is hard. We close that gap - one workflow at a time.

Ready to see governed AI workflows inside your regulatory operations?

Bring a real study to the demo. We'll show you the mismatches before your IRB does.

Book a life sciences demo →

Talk to us →

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

elsai

Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.

Offices

USA

UK

Australia

UAE

India

© 2026 elsai. All rights reserved.

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