Audit Automation
Challenge
Traditional audit processes are often labor-intensive, requiring extensive manual checks across vast data sets, which can lead to delays and inconsistencies.
Quantifying Sentiment
Challenge
Corporate finance leaders must interpret investor and market sentiment accurately. However, tracking and analyzing vast amounts of unstructured data, including news, reports, and social media, can be overwhelming and time-consuming.
Regulatory and Compliance
Challenge
Ensuring compliance with ever-evolving regulatory standards is a demanding task, often resulting in significant manual effort and heightened risk of penalties due to oversight.
Audit Automation
A leading accounting company reduced the time spent on forensic accounting investigations by 50% using our Neural Finance, uncovering discrepancies faster and more accurately.
Quantifying Market Sentiment
Discover how Neural Finance helped a global manufacturing leader automate commodity sentiment analysis, achieving a 30% faster market response by leveraging AI to extract actionable insights.
Streamlining Compliance
See how Neural Finance reduced regulatory review times by 40% for a finance department, using AI to automate document processing and ensure compliance with evolving industry standards.
Automate Insight Extraction
Rapidly process structured and unstructured contracts, statements, disclosures, research, and reports to extract actionable insights, saving time and minimizing errors.
Enhance Decision Speed
Utilize real-time insights tuned to the information and decisions that matter most to make informed, precise decisions that drive financial performance.
Improve Risk Management
Leverage AI-driven pattern recognition to identify potential risks and enhance fraud detection capabilities across any data modality, including text, audio, imagery, and video.
Document Parsing & Ingestion
Uses advanced OCR and neural models to convert unstructured data, making it accessible and searchable.
Contextual Intelligence
Provides finance-specific context to queries, retrieving the most relevant information to assist decision-making.
Customizable Interfaces
Tailor interfaces to visualize key financial metrics, enabling real-time monitoring and analysis.
1. Document Parsing and Ingestion
Neural Search uses advanced OCR (Optical Character Recognition) and deep learning techniques to extract and index data from unstructured documents, ensuring all information is accessible and ready for retrieval.
2. Vector Database Storage
All parsed content is stored in a vector database, enabling fast and precise similarity searches so you can quickly find relevant information based on context.
3. LLM Retriever-Generator
Leveraging large language models (LLMs), Neural Search retrieves the most relevant context from the knowledge base and generates accurate, context-aware answers.
4. User Interface
The system offers an intuitive, chat-like interface, making it easy for users to interact and retrieve information with minimal training required.
Prototype Package
- Deployed in 3 months
- Rapid deployment to get your team started with basic search capabilities
- Easy-to-use interface for straightforward searches and retrievals
- Tailored To Process Finance-Specific Data For Higher Relevance And Accuracy
- Limited to static documents, providing basic search functionality across text, images & charts
MVP Package
- Deployed in 5 months
- Option for on-premise or cloud deployment based on your IT infrastructure
- Advanced interface with improved search and retrieval accuracy
- Tailored to process Finance-specific data for higher relevance and accuracy
- Enhanced to ingest and analyze new documents as they are added
Production Package
- Deployed in ~9 months*
- Complete flexibility for on-premise or cloud deployment, tailored to your security and IT needs
- Fully optimized interface for advanced search and retrieval
- Highly precise processing of Finance-specific data and use cases
- In-depth analysis, predictive insights, and continuous improvement of search results
- All features rigorously tested and validated in a production environment