FinSight Financial AI System
What is FinSightFinSight is a financial language-understanding and data API framework. It combines raw financial data with LLMs for real-time insights and decision support.
Solution highlights
FinSight-API
One API for financial data, covering technical indicators and price history, with extensions for news, macro, and financial-report data. The RESTful design integrates with LLMs and enterprise systems.
FinSight GTP
MVP demonstration system for LLM interaction. Supports ChatGPT Plugin, Hugging Face, and local LLM deployments.
LLM applications
LLM functions include indicator explanation, trend prediction, automated reporting, charting, strategy simulation, and custom GPT development.
Enterprise services
Extensible architecture for custom data sources, internal API integration, private LLM deployment, multi-role and multi-language support, and dedicated GPT assistants.
FinSight data flow
From source data to a reviewable answer
Authorised data
Market, accounting, or internal operational data
FinSight API
Normalise, calculate, and return structured JSON
LLM or rules
Explain or summarise within the approved scope
Human decision
Review source, time, assumptions, and output
Example trend output
Illustrative data only; not an investment recommendation.
Example API response
{
"source": "authorised_dataset",
"as_of": "2026-08-16T10:00:00+08:00",
"metrics": { "trend": "review_required" },
"evidence": ["source_id", "calculation_version"]
}Enterprise evaluation
Connect FinSight to your financial data workflow
Discuss data sources, API integration, private deployment, access control, and the first business use case with EudTech.
System Overview
| Model | LLM + API Wrapper |
| Data Sources | Raw financial data APIs |
| Integration | Webhook + JSON/RESTful API |
| Deployment | SaaS / On-Premises |
System Architecture
Core Components
RESTful API for unified financial data access
LLM interaction demonstration platform
Key Features
Technical Specifications
Data Sources
Raw market data APIs, financial databases
Processing
Real-time data normalisation and calculation
API Format
RESTful JSON, WebSocket streaming
LLM Integration
GPT-4 for data interpretation and insights
Deployment
Cloud SaaS or on-premises installation
Security
Enterprise-grade encryption and access control
Scalability
Horizontal scaling for high-frequency data
Latency
Sub-second response time for real-time queries