Synthetic data for the financial markets
Create synthetic data that mirrors real-world financial datasets, streamlining back office data curation and the fine-tuning of large language models with precision and ease
Utilize synthetic financial data to fine-tune Large Language Models (LLMs) for more accurate financial forecasting and analysis, accessible via an API or Python SDK.
Back Office Data Curation
Harness our API for back office process data curation, ensuring your data can seamlessly communicate with any large language model (LLM), whether proprietary or vendor-supplied, all through straightforward API or Python SDK integration.
Data Cleaning and Fixing
Employ synthetic data for cleaning and enhancing existing financial datasets, ensuring data quality and reliability, easily implemented via an API or Python SDK.