Data curation & management

We enable financial service enterprises to collate curated datasets from multiple literature sources and address specific machine learning tasks by leveraging our expertise in identifying data sources, converting them into required formats, normalizing variables across sources and integrating with AI models

Customized dataset collations using NLP techniques on literature

We help enterprises to build curated datasets that are specific to the task at hand

e.g., Mining literature and social media using NLP techniques to build a database for risk management models

Automated updates in area of interest

We provide productivity solutions for the model development and monitoring team by building an automated email alert system for updates in specific area of interest

e.g., A weekly email alert summarizing the new articles, journals, patents published in relation to existing models’ infrastructure and architecture

Maximizing computational efficiency of data processing pipelines

We evaluate the data pipelines and suggest enhancements required to improve efficiency of computation