BFSI insights

TimeCopilot

Published 7 Nov 2025 · arXiv · Azul Garza
arXiv preview

Overview

TimeCopilot is an innovative open-source framework designed to enhance forecasting by integrating Time Series Foundation Models (TSFMs) with Large Language Models (LLMs). This framework automates the entire forecasting pipeline, offering a unified API for feature analysis, model selection, cross-validation, and forecast generation.

Key Insights

  • State-of-the-Art Performance: TimeCopilot achieved leading results on the GIFT-Eval benchmark, demonstrating its effectiveness in probabilistic forecasting.
  • Cost Efficiency: The framework provides high performance at a low cost, making advanced forecasting accessible.
  • LLM-Agnostic: It is compatible with both commercial and open-source LLMs, supporting diverse forecasting models.
  • Natural Language Explanations: Offers natural language explanations and supports direct queries about future forecasts.

BFSI Relevance

  • Why Relevant: Accurate forecasting is crucial for risk management and strategic planning in BFSI sectors.
  • Primary Sector: Financial Services
  • Subsectors: Asset Management, Risk Management
  • Actionable Implications:
    • Implement TimeCopilot to improve forecasting accuracy and efficiency.
    • Leverage its cost-effective nature to enhance strategic decision-making processes.
    • Use its natural language capabilities to facilitate better communication of forecasts within organisations.
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