TRUST offers a platform that utilizes artificial intelligence to process unstructured data, enabling businesses to extract actionable insights and improve decision-making efficiency. By automating complex data management tasks, the platform enhances governance and compliance while significantly reducing the time required for credit approvals and customer service analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently extract valuable insights from unstructured data sources like documents, images, emails, videos, and audio files. Traditional methods of data analysis are often time-consuming, require manual effort, and lack the ability to identify complex relationships within the data. This makes it difficult to leverage unstructured data for informed decision-making, risk management, and process optimization.
Solution
TRUST offers an AI-powered platform designed to process and analyze unstructured data, transforming it into actionable knowledge graphs and analytical insights. The platform utilizes Large Language Models (LLMs) such as GPT-4, Claude, PaLM, LLaMA, and Gemini to extract, structure, and organize information from diverse data sources. By creating knowledge graphs, the platform reveals relationships between entities, enabling advanced search, predictive analysis, and report generation. The solution provides enhanced data governance, traceability, and explainability, allowing businesses to improve decision-making, detect fraud, and automate complex processes like credit approval and customer service analysis.
Target Audience
The primary target audience includes businesses across various industries seeking to improve decision-making, automate processes, and enhance data governance by leveraging unstructured data, including professionals in finance, legal services, and human resources.
Features
- Connects to various data sources including files, images, emails, videos, audio, APIs, and databases.
- Employs LLMs for data structuring and fine-tuning to integrate different data silos.
- Creates knowledge graphs to represent real-world entities and their relationships.
- Offers advanced search, predictive analysis, and reporting capabilities.
- Provides data traceability and explainability, showing the origin and evolution of each data point.
- Enhances governance and compliance through data mapping and relationship tracking.
- Detects fraud and risks by identifying patterns and relationships not visible through traditional techniques.
- Virtual Private Cloud (VPC) to protect data.