Point-in-Time LLMs
that actually generalize

PiT-Inference removes look-ahead bias from financial LLMs — enabling realistic backtesting, agentic trading research, and deployment beyond the training window.

Read the Look-Ahead-Bench paper View benchmark code
−15 to −22 pp
Alpha decay observed in standard LLMs
~0 pp
Alpha decay for PiT-Inference models
+500B
Parameters in PiT frontier models (GPT-5-level)
Agentic
Evaluated inside real trading agents
0