Research & Development

Our R&D division is at the forefront of technological innovation in the financial and telecom sectors, focusing on two primary streams: bespoke machine learning (ML) models and advanced large language models (LLMs).

We tailor ML models specifically for distinct challenges within each industry, ensuring precise alignment with the unique demands of financial and telecom environments. These models benefit from thorough training on extensive sector-specific datasets, highlighting key cases and outcomes that enhance their relevance and effectiveness.

In parallel, we refine open-source LLMs to significantly enhance our analytical capabilities. These LLMs are fine-tuned to optimize value extraction across various deployments, equipping us with powerful tools for deep data analysis and pattern detection.

Moreover, we have moved away from traditional OCR technologies, embracing fine-tuned vision models and our proprietary PDF extraction techniques. This shift allows for more accurate data capture and integration, supporting our goal of innovating beyond conventional methods. These advancements include developing cutting-edge non-OCR based ingestion methods for financial transactions and advancing retrieval augmented generation capabilities, thereby boosting the efficiency and accuracy of our investigative processes.