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A service for finance industry professionals · Wednesday, November 13, 2024 · 760,177,408 Articles · 3+ Million Readers

Aisot Technologies Launches Investment Co-Pilot and Time-Boxed LLMs

The Investment Co-Pilot provides users with seamless interaction with aisot’s suite of AI-powered quantitative tools through an intuitive LLM-based chat interface.

The Investment Co-Pilot offers intuitive chat-based access to aisot’s AI-driven quant tools & time-boxed LLMs tackle look-ahead bias in forecasting.

Aisot Technologies' Investment Co-Pilot and time-boxed LLMs deliver precise, bias-free insights, assisting investment professionals to make confident, informed decisions.”
— Stefan Klauser, CEO & Co-Founder
ZüRICH, ZH, SWITZERLAND, November 13, 2024 /EINPresswire.com/ -- Introducing the Investment Co-Pilot: Real-Time, LLM-Driven Investment Support: aisot’s new Investment Co-Pilot is a powerful LLM-driven tool supporting investment decisions at every stage—from portfolio construction to analysis and rebalancing. Built on the open-source Llama 400B, the Co-Pilot delivers portfolio analysis through a user-friendly chat interface. Unlike generic applications like ChatGPT, the Co-Pilot continuously interacts with aisot’s AI-powered quant tools, validating outputs to maintain accuracy and relevance. Custom optimization solvers further adapt the tool to meet specific client requirements, streamlining and enhancing the investment process.

Fine-Tuned and Time-Boxed LLMs for Reliable Insights: aisot’s fine-tuned, time-boxed LLMs generate predictive sentiment factors that provide reliable, bias-free insights for backtesting and decision-making. The pioneering time-boxing technique restricts model training to data available at the prediction point, mitigating look-ahead bias and ensuring insights reflect actual market conditions. This innovation is accessible to clients via the AI Insights Platform or as a downloadable model for seamless integration into existing machine learning workflows. Updated quarterly to align with fiscal periods, aisot’s models leverage encoder-based transformers tailored for financial applications. To further enhance reliability, the time-boxed LLMs integrate with quantitative models under strict portfolio constraints, blending sentiment data with Bayesian uncertainty frameworks. This comprehensive approach prevents hallucinations and minimizes look-ahead bias, delivering real-time, actionable insights aligned with each client’s risk model.


About Aisot Technologies:
Aisot Technologies leads in AI-driven solutions for designing, validating, and customizing investment strategies at scale. By leveraging advanced machine learning, large language models (LLMs), and quantitative methods, Aisot provides real-time, actionable insights that empower asset and wealth managers to make informed investment decisions.

Lukas Sieber
Aisot Technologies
lukas@aisot.com
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