Lexsi Labs is building the next generation of Tabular Foundation Models (TFMs) to make structured prediction as reusable and scalable as foundation models made language and vision.
We are already deep in this space with concrete systems and research artifacts:
We built TabTune, a unified library for inference, benchmarking, evaluation (including calibration and fairness), and fine-tuning across multiple leading TFMs through a single API.
We developed frontier architectures like Orion-MSP, introducing hierarchical multi-scale sparse attention and memory mechanisms designed to scale tabular in-context learning to wide, high-dimensional tables.
We are pushing the ecosystem toward Institutional Tabular Foundation Models (ITFMs), arguing for table-native predictors that capture institutional knowledge directly, without routing tables through text, and emphasizing robustness to drift, schema evolution, governance, and auditability.

Our ambition is simple and disruptive: replace fragmented task-by-task modeling with foundation models for structured decision systems,



and fundamentally change how data science is practiced in real organizations.
The Role
As an AI Research Scientist (TFMs), you will design new tabular foundation model architectures, training methods, and evaluation systems that push beyond today’s best baselines and unlock transfer, scale, and reliability for structured data.
This is not “apply transformers to tables.” This role is about building what comes next: new modeling primitives for structured data, current pretraining regimes, and models that can survive real institutional complexity.
Responsibilities
Invent and prototype recent TFM architectures that improve generalization, scalability (wide tables, many features), and transfer across tasks and schemas.
Develop learning paradigms for structured data including in-context learning, pretraining on synthetic/real mixtures, and productive adaptation mechanisms.
Build systems that move TFMs toward institutional r

📌 Ai Research Scientist Bengaluru
🏢 Lexsi Labs
📍 Bengaluru