README.md

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title: README
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  <a href="https://lexsi.ai/">
    <img src="https://raw.githubusercontent.com/Lexsi-Labs/TabTune/refs/heads/docs/assets/lexsilogowhite.png" width="600">
  </a>
  <br>
  <a href="https://lexsi.ai/">https://www.lexsi.ai</a>
  <br><br>
  Paris 🇫🇷 · Mumbai 🇮🇳 · London 🇬🇧 
  <br><br>
  <a href="https://discord.gg/dSB62Q7A" style="display:inline-block; vertical-align:middle;">
    <img src="https://raw.githubusercontent.com/Lexsi-Labs/TabTune/refs/heads/docs/assets/discord.png" width="150">
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    <img src="https://raw.githubusercontent.com/Lexsi-Labs/TabTune/refs/heads/docs/assets/githublogo.png" width="150">
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Lexsi Labs drives Aligned and Safe AI Frontier Research. Our goal is to build AI systems that are transparent, reliable, and value-aligned, combining interpretability, alignment, and governance to enable trustworthy intelligence at scale.  


### Research Focus  
- **Aligned & Safe AI:** Frameworks for self-monitoring, interpretable, and alignment-aware systems.  
- **Explainability & Alignment:** Faithful, architecture-agnostic interpretability and value-aligned optimization across tabular, vision, and language models.  
- **Safe Behaviour Control:** Techniques for fine-tuning, pruning, and behavioural steering in large models.  
- **Risk & Governance:** Continuous monitoring, drift detection, and fairness auditing for responsible deployment.  
- **Tabular & LLM Research:** Foundational work on tabular intelligence, in-context learning, and interpretable large language models.