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Pioneering the Future of AI

At Senlab, our research teams investigate the safety, interpretability, and societal impact of AI models — ensuring that artificial intelligence has a positive influence as it becomes increasingly advanced and capable.

Our Impact

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Academic Partners

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Research Papers

Our Research Teams

Dedicated groups of experts working together to solve the most challenging problems in AI

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Interpretability

Senlab's Interpretability team works to discover and understand how large language models function internally — the foundation of ensuring safety and positive outcomes in AI systems.

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Alignment

Our Alignment team develops methodologies to ensure AI systems remain helpful, honest, and harmless as they advance in capabilities and complexity.

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Advancement Frontier

Our Technical Frontiers team tackles the most complex technical challenges in AI. Focused on advancing core architectures, algorithms, and computational paradigms, they push the boundaries of what AI systems can achieve.

Our Journey

A timeline of our key milestones and achievements in AI research and development

2024

January

Founded

Senlab was founded with a vision to create AI that benefits humanity.

2024

February

First Research Team

Assembled our core research team focused on interpretable AI systems.

2024

March

Initial Funding

Secured funding to accelerate our research and development efforts.

2024

April

First Prototype

Developed our first prototype for aligning AI with human values.

2025

January

Growing Impact

Our research is already beginning to influence AI development approaches.

Research Principles

The core values and approaches that guide our work

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Collaborative Advancement in AI Research

Senlab prioritizes a synergistic research culture that harmonizes structured objectives with organic innovation. While maintaining a clear agenda, we actively engage multidisciplinary teams—including researchers, engineers, ethicists, and policy specialists—to collectively steer our initiatives. By partnering with academic institutions, industry leaders, and the global AI community, we strive to accelerate breakthroughs through diverse expertise and shared aspirations.
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02

Proactive Integration of Safety and Capability

At Senlab, advancing AI capabilities goes hand-in-hand with addressing safety challenges. As models scale, we proactively identify and mitigate emerging risks through robust technical safeguards and analytical frameworks for code and text. Our research ensures reliability and trustworthiness, embedding safety into every stage of development without compromising innovation.
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Methodical Scientific Frameworks

Our AI development is rooted in empirical science, employing scaling laws to uncover core relationships between data, computational resources, model parameters, and performance outcomes. This systematic methodology enhances training efficiency and informs our safety-focused roadmap. By extending these principles to AI safety research, we establish measurable guidelines for responsible progress.
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Rigorous Impact Assessment

Understanding societal implications is central to Senlab's ethos. We design advanced evaluation tools to analyze AI systems' capabilities, limitations, and societal effects. Key focus areas include AI Efficiency Metrics, Interpretability Frameworks, and Responsible AI Standards, fostering transparency and accountability in the field.