Independent research on reliable generative AI
Threshold Systems is an independent applied AI research lab focused on understanding and improving the reliability of generative models.
Modern language models exhibit strong capabilities but fail in predictable ways under uncertainty, including hallucination, brittle reasoning, and poor recovery from early errors. These behaviours limit their safe use in high-stakes and regulated environments.
Threshold Systems investigates these failure modes through targeted experimentation and analysis of model dynamics during training and inference. The work focuses on identifying when and why models become unstable, and on developing lightweight, principled interventions that improve robustness without blunt constraint or loss of capability.
The lab prioritises small, well-controlled experiments, interpretable results, and practical system design insights. Threshold Systems operates as a compact research unit designed for focused exploration and selective collaboration.
Contact: info@thresholdsystems.ai