Introduction to NeoLang
NeoLang is NeoSpace AI's proprietary artificial intelligence technology, specifically designed for the financial sector. Unlike general-purpose language models, NeoLang has been trained and optimized to understand complex financial concepts, industry regulations, and specialized terminology.
What is NeoLang?
NeoLang is a set of large language models (LLMs) specialized in the financial domain, combined with an orchestration architecture that enables:
- Processing and analysis of financial documents
- Generation of insights based on financial data
- Responses to complex queries about finance and investments
- Automation of financial processes with high precision
- Personalization of financial recommendations
Why a specialized model?
Although general-purpose language models have impressive capabilities, they present significant limitations when applied to specialized domains such as the financial sector:
| General-purpose models | NeoLang |
|---|---|
| Limited financial knowledge | Trained with vast financial data |
| No guarantee of regulatory compliance | Designed for compliance with financial regulations |
| May generate inaccurate information | Optimized for precision in financial calculations and analyses |
| No specific knowledge of local markets | Adapted for specific financial markets |
| No integrated financial tools | Equipped with specialized tools for financial tasks |
NeoLang Architecture
NeoLang is built on a modular architecture that combines:
graph TD
A[User Input] --> B[Intent Router]
B --> C[Financial Experts]
C --> D[Base Models]
C --> E[Specialized Tools]
D --> F[Response Orchestrator]
E --> F
F --> G[Output to User]
H[Compliance Guardrails] --> F
- Intent Router: Analyzes the user's query and directs it to the most appropriate expert
- Financial Experts: Virtual specialists in different financial areas
- Base Models: LLMs specialized in finance
- Specialized Tools: Components for specific tasks such as financial calculations
- Compliance Guardrails: Ensure that all responses comply with regulations
- Response Orchestrator: Integrates results from different components
Key capabilities
NeoLang offers a comprehensive set of capabilities for the financial sector:
Financial analysis
- Analysis of financial statements
- Evaluation of economic indicators
- Financial modeling and projections
- Risk and return analysis
Regulatory compliance
- Interpretation of financial regulations
- Document compliance verification
- Alerts about potential regulatory violations
- Generation of compliant reports
Customer assistance
- Responses to complex financial queries
- Personalized explanations of financial products
- Recommendations based on customer profile
- Support for investment decisions
Process automation
- Extraction of data from financial documents
- Automation of periodic reports
- Continuous monitoring of financial metrics
- Detection of anomalies in transactions
Available integrations
NeoLang can be integrated in various ways:
- REST API: For integration with web and mobile applications
- Python SDK: For advanced analyses and automations
- Webhooks: For asynchronous event processing
- Chat interface: For direct conversational interactions
Next steps
To start using NeoLang in your financial applications: