Rosetta Stone of Structured Data
Hercules’ Rosetta Stone is addressing one of the most challenging aspects of data management of having to manually transform and normalize raw, unstructured data. This AI-powered Solution is adept at converting large volumes of data into a required structure, a process that traditionally consumes significant time and resources.
AI-driven Automation and Reasoning
Built with the powerful Hercules AI platform, Rosetta Stone can automatically analyze any input structured data and map it to the desired output structure. It performs complex reasoning with business logic and normalizes information, eliminating the need for manual data conversion.
Key Features
Leverages Filing History
Dozens of LLMs are trained on historical data to corroborate on industry rules and specifically fine-tuned for your firm
Automated Entity Mapping
Contains intelligent AI models
for quick and accurate data
structure mapping
AI-powered Transformation
Intelligently transforms incoming source data to a desired format and values specified in a target template
Easy to Use
Deploy application with zero
coding and interact in
natural language
Human-in-the-Loop
Combines human expertise with AI for a co-pilot experience, leading to rapid improvements in model accuracy
Rosetta Stone Streamlines Complex Workflows
Our AI model uses historical data, industry regulation and compliance rules, and human-in-the-loop intervention to convert files with high confidence. This solution facilitates interoperability between disparate files on a large scale.
Our Technology
Our platform is built specifically for enterprises that face challenges in entity extraction and reasoning. Hercules utilizes over 200 modules, components, and AI models to address complex, multi-step business workflows.
Explore Rosetta Stone Use Cases
See all use cases by industry
Insurance
Bordereaux Management
Automatically convert any Bordereaux file into a standardized template, ensuring consistent and accurate output every time.
Insurance
Eligibility & Enrollment
Automate the transformation of large volumes of eligibility and enrollment files into a standard format, ensuring reduced errors and compliance.