AI Document Intelligence

Meerae AI

AI Document Search · Summarization · Q&A Solution

Instantly find information across 100+ file formats, summarize key content, and get accurate, source-cited answers powered by multi-document cross-referencing.

100+
File Formats
3s
Avg. Response
92%+
Answer Accuracy

meerae.info@gmail.com

Meerae AI — Multi-document Analysis
5 documents loaded
Compare this year's Revenue targets in the business plan and proposal.
AI
Cross-reference Analysis 2 documents
The two documents show different Revenue targets:
Business Plan: KRW 15.0B (35% growth)
Proposal: KRW 18.0B (62% growth)
Source 1: business_plan.pdf, p.12
"2026 Revenue target KRW 15.0B, AI Solutions division full-scale revenue..."
Source 2: proposal.hwp, p.6
"Booking target KRW 18.0B, 62% growth via new customer acquisition..."
Analyze the cause of the gap.
AI
Ask a question about your documents...
100+
Supported File Formats
3s
Avg. Response Time
92%+
Answer Accuracy
On-Premise
Secure Deployment
Supported Formats

100+ File Formats
Fully Supported

Upload your original documents as-is and start AI analysis instantly — no conversion required.

PDF
PDF
Adobe PDF
HWP
HWP/HWPX
Hangul Word
DOC
DOCX/DOC
MS Word
PPT
PPTX/PPT
MS PowerPoint
XLS
XLSX/XLS
MS Excel
TXT
TXT/CSV
Text Files
XML
XML/JSON
Structured Data
HTM
HTML/MHT
Web Pages
RTF
RTF/ODF
Compatible Formats
IMG
JPG/PNG
Images (OCR)
EML
EML/MSG
Email
+
90+
More Formats
Core Features

Core Features of Meerae AI

AI handles every task on your documents — search, summarize, answer, and cross-reference.

Semantic Intelligent Search

Find accurate information through meaning-based search rather than keyword matching. The engine understands synonyms, paraphrases, and context — searching for "revenue target" also surfaces "income plan" and "sales outlook."

Semantic Search Context Understanding Similarity Matching Multilingual
Search comparison: "this year's performance outlook"
Keyword Search
Results: 0 — no exact match for "this year's performance outlook"
Meerae AI Semantic Search
98% "2026 Revenue target is KRW 15.0B..."
94% "This year's income plan is 35% YoY..."
91% "H2 sales outlook revised upward..."
56-page audit report → 3-line summary
PDF
audit_report_2025.pdf 56 pages
Analysis complete
AI Summary
  1. 1. FY2025 total Revenue KRW 11.2B, +28% YoY, operating margin 15.3%.
  2. 2. AI Solutions division grew to 45% of Revenue, +67% YoY.
  3. 3. Healthy balance sheet: debt ratio 42%, cash on hand KRW 3.2B.

AI Automatic Summarization

Boil down dozens of pages into a 3-line executive summary. Meerae AI understands document structure, weighs importance, and extracts only what matters for decision-making.

3-Line Summary Key Point Extraction Structure-Aware

Natural Language Q&A

Chat with your documents. Ask questions in plain language — no special search syntax — and receive accurate, source-cited answers grounded in the document content.

Chat Interface Source Citations Follow-up Questions
Conversation example
What's the penalty clause in the contract?
Upon termination, the penalty is 20% of the remaining contract value, waived under force majeure.
📄 contract.docx, Art. 15 §3
What counts as force majeure?
Natural disasters, war, regulatory changes, and pandemics are covered.
📄 contract.docx, Art. 18 §1
Multi-document Cross-reference
PDF
Business Plan
HWP
Proposal
XLS
Financials
Cross-analysis result
Revenue target mismatch between Business Plan and Proposal
Cost line items match between Financial Statements and Business Plan
Headcount plan: Business Plan 50 vs. Proposal 45

Multi-document Cross-reference

Analyze multiple documents at once to verify information consistency automatically. Meerae AI flags numerical discrepancies and inconsistent statements across files and reports them.

Cross-validation Inconsistency Detection Unified Analysis
Core Tech / Architecture

RAG-Powered
Intelligent Answering

Retrieval-Augmented Generation (RAG) architecture delivers accurate, document-grounded answers you can trust.

1

Document Upload

Auto-recognize 100+ formats and extract text

2

Chunking & Embedding

Split into semantic chunks, convert to vector embeddings

3

Vector DB Storage

High-dimensional vector indexing for similarity search

4

Context Retrieval

Retrieve Top-K chunks most relevant to the query

5

LLM Answer Generation

Retrieved chunks + LLM produce source-grounded answers

Semantic vs. Keyword Search

Method
String Match
Semantic Similarity
Synonyms
Not Supported
Auto-detected
Context
None
Fully Supported
Accuracy
~45%
92%+
Keyword Search
Meerae AI

Vector Database Architecture

Document → Chunk Split
Chunk #1
Chunk #2
Chunk #3
...
Chunk #N
Embedding Model
Vector Space (High-Dimensional)
dim 1
0.82
dim 2
-0.15
dim 3
0.67
dim N
0.41
Cosine Similarity
Top-K Similar Chunks Returned
Chunk #47 — 98.2%
Chunk #12 — 94.7%
Chunk #83 — 91.3%
Security & Privacy

Enterprise-Grade
Security Architecture

A multi-layered security framework designed to handle sensitive documents safely.

Data Encryption

All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Both original documents and vector data remain encrypted at all times.

TLS 1.3 in-transit encryption
AES-256 at-rest encryption
Key Management System (KMS)

On-Premise Deployment

Install and run Meerae AI directly on customer-side servers. No data ever leaves your network, ensuring the highest level of security.

Direct install on internal servers
No external data transmission
Docker / Kubernetes support

Access Control

Role-based access control (RBAC) provides fine-grained permissions per document and per user. Comprehensive audit logs track every access event.

RBAC role-based permissions
Per-document access settings
Complete audit logging
Use Cases

Deployed Across
Industries

Delivering transformative efficiency in document-heavy industries — legal, finance, government, and enterprise.

Legal / Law Firms

Case law & contract analysis

Instantly search relevant clauses across thousands of cases and contracts, and automatically surface similar precedents for comparison. Cuts legal research time by up to 80%.

Example use cases
  • • Risk analysis per contract clause
  • • Automated similar-precedent search and comparison
  • • Monitoring of regulatory changes

Finance / Investment

Report & disclosure analysis

Rapidly analyze corporate filings, audit reports, and investment memos. Automatically extract key financial indicators and risk factors to dramatically accelerate investment decisions.

Example use cases
  • • Automated extraction of audit report KPIs
  • • Multi-year Financial Statements comparison
  • • Automatic identification of investment risk factors

Government / Public Sector

Policy & citizen-request document analysis

Instantly search across vast volumes of policy documents, legislation, and citizen requests. Policymakers can quickly identify relevant precedents and legal grounds.

Example use cases
  • • Consistency checks across policy documents
  • • Search for similar citizen-request resolutions
  • • Impact analysis of legislative changes

Enterprise / Consulting

Internal document & report management

Unify and instantly search internal policies, process documents, and project reports. From new-hire onboarding to project insight reuse — maximize productivity across the organization.

Example use cases
  • • Instant search of internal policies and guidelines
  • • Reuse of insights from past projects
  • • Support for new-employee onboarding

Key Numbers

Meerae AI performance, by the numbers.

0
or more
File Formats Supported
3s
or less
Average Response Time
0
% or higher
Answer Accuracy
0
MB per file
Maximum File Size

Frequently Asked Questions

Common questions about Meerae AI.

Which document formats are supported?
Meerae AI supports 100+ formats including PDF, HWP, HWPX, DOCX, DOC, PPTX, PPT, XLSX, XLS, TXT, CSV, XML, JSON, HTML, RTF, ODF, EML, and MSG. Image files (JPG, PNG) are processed via OCR to extract text automatically for analysis.
How is answer accuracy ensured?
We use a RAG (Retrieval-Augmented Generation) architecture so every answer is grounded in the source documents. Each response includes citations (document name and page), and hallucination-mitigation techniques prevent the model from inventing information that isn't in the documents.
Is on-premise deployment available?
Yes. We support both cloud (SaaS) and on-premise deployments. For organizations with strict security requirements, Meerae AI can be installed on customer-side servers so that no data ever leaves your network. Docker and Kubernetes environments are supported.
Can multiple documents be analyzed together?
Yes — multi-document cross-referencing is built in. Upload several documents at once and Meerae AI will cross-analyze them, automatically linking related information and flagging numerical or contextual inconsistencies. Questions like "Compare the Revenue targets in the business plan and proposal" work out of the box.
Can it integrate with existing systems?
Yes. A REST API enables straightforward integration with existing business systems (ERP, groupware, document management, and more). Single Sign-On (SSO) is supported so you can reuse your existing identity provider without separate account management.
What's the pricing and rollout process?
Pricing is customized based on usage scale and deployment model. A typical rollout proceeds as (1) requirements analysis, (2) PoC, (3) customization, and (4) deployment and training. The PoC is usually completed within about two weeks so you can validate value quickly.

Transform Your Document Workflow
Starting Today

With Meerae AI, find what you need across thousands of pages in secondsand get instant summaries of the essentials. Talk to our experts for the right deployment plan.

Get in Touch

meerae.info@gmail.com

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