Finance

Financial Institution

Investment Committee Document Analysis System

Enabled AI analysis of highly confidential investment data within an on-premises environment. Built a document analysis platform that significantly improved both the accuracy and speed of investment committee decision-making.

Investment AnalysisOn-PremisesConfidential DataFinance DX

Challenge

While internal reports, market analyses, and past investment committee materials accumulated massively, the confidential nature of the data restricted the use of external cloud services. Analysts were forced to manually aggregate and analyze information, creating significant inefficiencies.

1

Confidential investment data prohibited use of external cloud AI services

2

Creating investment committee materials required several days per document

3

Difficult to search for past investment rationales or similar cases

4

Unable to integrate and cross-analyze data across multiple departments

🔒
Data Confidentiality
Cloud AI prohibited
📊
Report Creation
Days per document
🔍
Past Cases
Hard to find similar deals
🏢
Data Silos
No cross-dept analysis
Workflow Before
📁
Reports across depts
✍️
Manual aggregation
⏱️
Days to create reports
Past insights lost

Solution

We deployed INDX's on-premises data structuring engine to build an AI analysis platform that operates entirely within the client's internal environment. Investment documents are automatically structured and indexed to support analyst decision-making.

AI data analysis platform built entirely on-premises

Automatic structuring and cross-referencing of investment reports and market analyses

Automatic extraction of similar past investment cases

Company-specific tuning for high-precision understanding of industry terminology

Value of INDX Metadata Technology

INDX's metadata technology automatically recognizes the structure of investment reports—"conclusions," "risk factors," "market conditions"—enabling advanced information retrieval that understands the context needed for investment decisions.

Before
After
AI Environment
Cloud AI prohibited
Fully on-premises AI
Report Creation
Days per document
70% time reduction
Similar Cases
Manual / memory-based
94% auto-matching
Data Access
Siloed by department
Cross-dept analysis
Workflow After
📥
Ingest internal docs
🔒
On-prem structuring
🔗
Cross-reference
📊
Analysis & reports

Application Screenshots

Screen mockups of the applications we built. We design and develop UI/UX tailored to each client's workflow.

app.indx.jp
Analyzed Deals
1,247
New This Month
23
Avg Analysis Time
2.3 hrs
Match Accuracy
94.2%
Distribution
Energy
85%
Real Estate
72%
Technology
68%
Healthcare
55%
Finance
45%

Visualize risk-return analysis for investment deals

System Architecture

A fully on-premises system that handles everything from structuring investment documents to analysis and report generation, keeping all confidential data within the organization.

FrontendFrontend / User-Facing UI

Analyst Dashboard

Dashboard displaying risk factors, market conditions, and past similar cases per investment deal. Enables interactive cross-report comparison and time-series analysis.

Next.jsD3.jsTypeScript

Auto Report Generator

Automatically drafts investment committee materials from structured data following templates. Analysts can simply review and edit the generated output.

ReactPDF GenerationRich Text Editor

Similar Case Search UI

Input conditions of a potential investment to automatically surface past similar decisions, including their rationale and outcomes.

Semantic Search UIFilter & Facet
BackendBackend / Data Processing

INDX On-Premises Structuring Engine

INDX engine deployed within the internal network automatically structures investment reports, market analyses, and meeting minutes. Recognizes sections like "conclusions," "risks," and "recommendations" with semantic metadata.

INDX Core EnginePythonOn-Premises

Cross-Reference Engine

Automatically detects relationships between reports from different departments and time periods. Links multiple analyses on the same deal for an integrated view.

Graph DBEntity Resolution

Company-Specific Tuning Module

Learns financial industry and company-specific terminology, internal abbreviations, and report formats. Achieves high-precision understanding beyond generic models.

Fine-tuningDomain Adaptation
InfrastructureInfrastructure / Security

On-Premises Server Environment

All data processing and AI inference runs on internal servers. External communication is completely blocked, eliminating data leakage risk. GPU servers handle local AI inference.

GPU ServerDockerAir-Gapped

Access Control & Audit Logs

Fine-grained access permissions by department and role. All document access and search operations are recorded as audit logs for compliance.

RBACAudit TrailLDAP Integration

Data Flow

📄
PDF / Word Images / Paper
⚙️
INDX Structuring
🏷️
Metadata Tagging
💾
Vector DB Index
🤖
AI Search Response
👤
User

Results

30%
Decision Accuracy Improvement

Improved judgment quality through systematic analysis of historical data

70%
Report Creation Time Reduction

Significantly reduced effort in preparing investment committee materials

100%
Data Stays On-Premises

Achieved AI analysis without confidential data leaving the organization

Facing similar challenges?

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