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AI Safety

Open-sourcing the Lexsi Alignment and Safety Stack: frontier safety research for auditing, correcting and verifying model weights

September 16, 2026
TabTune

Debugging TabFM: the story the leaderboard hides

July 20, 2026
TabTune

TabTune Resampling: Context Engineering for Zero-Shot Imbalanced Tabular Learning

February 25, 2026
Reinforcement Learning

Not All Tokens Matter Equally: Teaching RL Which Parts of Reasoning Actually Count

February 13, 2026
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TabTune

Introducing TabTune: A unified library for inference and fine-tuning tabular foundational models. 

November 6, 2025
Tabular Foundational Models
Lexsi Labs, Paris
Lexsi Labs, Mumbai
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Lexsi Labs is dedicated to building the foundations for Safe Superintelligence — uniting alignment theory, interpretability science, and agentic autonomy into one research continuum to make AI aligned, interpretable and fit for the future.
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