CASE STUDIES
Tryni
Scenario
In today's data-driven world, the ability to efficiently obtain, analyze, and manage company information is critical. However, many organizations face the challenge of handling vast amounts of unstructured data in the form of physical documents, PDFs, and forms that require manual extraction and processing.
Challenge
One of the major hurdles for companies is the manual extraction of data from diverse documents with unknown structures. The process is time-consuming and prone to errors. Many of these documents—whether they are forms, PDFs, spreadsheets, or digitalized paper—cannot be processed through standard computing methods.The key objectives for businesses dealing with these challenges are:
- Eliminate slow, labor-intensive data extraction.
- Automate processes that heavily rely on human intervention
- Classify and validate unstructured data for optimized processing
- Extract valuable insights and prepare data for digital consumption
Solution
Celara’s expert team stepped in with Tryni, an AI-powered solution designed to extract, analyze, and manage data from any source, no matter how complex or unstructured. With cutting-edge machine learning capabilities, Tryni transforms the way companies handle information.
Celara’s Team brought together Machine Learning Engineers, Data Scientists, and Software Engineers to build and refine the AI models for Tryni. Their solution involved two key steps:
- Data Preparation: The team meticulously selected a batch of highly variable client documents, manually reviewing and labeling them for machine learning model training.
- Model Training and Fine-Tuning: Leveraging this data, the team trained custom models to recognize and extract key entities from the documents. They iteratively improved these models to meet specific client requirements, delivering unparalleled precision.
Outcome
Celara’s expert team delivered a powerful AI-driven solution that automates data extraction, validation, and organization from diverse document formats. This has enabled clients to accelerate digital transformation, improve data accuracy, and continuously enhance their processes with AI-driven insights.
