The future of agentic AI lies in specialized Small Language Models. We support this by producing high-quality reasoning chains generated through rigorous extraction and structuring of how human experts solve the most complex problems, enabling AI to do the same, at scale.
SR-AppellateLaw is our specialized SLM fine-tuned on proprietary legal reasoning traces. It significantly outperforms Claude Sonnet 4.5 on complex legal outcome prediction, for a fraction of the inference cost.
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Inference cost vs. Claude 4.5
63x Faster
vs. DeepSeek R1
Proprietary datasets of specialized reasoning chains, rigorously verified by human experts, designed to teach models complex, domain-specific logic.
Purpose-built Small Language Models trained on your unique enterprise data to achieve SOTA performance at a fraction of the cost.
End-to-end integration of specialized SLMs into autonomous agentic systems designed to execute your complex enterprise workflows.