Greater Reasoning Depth
Multi-Scale, Multi-Step Reasoning
500-1000 effective layers solve complex problems through depth, not scale.
Empowering AI with human-like thinking and reasoning
Inspired by the brain's hierarchical-recurrent system

High-level "Slower Controller" Responsible for abstract, deliberate reasoning
Low-level "Faster Worker"Responsible for detailed computations
Output
Higher-level Slower
Lower-level Faster
Input
At the core of Sapient Intelligence is HRM, a brain-inspired architecture designed to move beyond data-heavy, probability-driven systems. Rather than scaling intelligence by compiling ever-larger datasets to predict responses, HRM defines a reasoning framework that enables AI systems to reason, plan, and converge on solutions through structured, multi-level computation.
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500-1000 effective layers solve complex problems through depth, not scale.

Strong understanding of numbers and patterns for time-series and structured data.

Learns effectively from thousands of samples, not millions.

ACT dynamically optimizes inference, reducing cost without sacrificing performance.

0.027B parameters. No pretraining. No CoT. 100x faster reasoning. Surpasses 600B+ models. Runs on phones.

Sudoku offers a simple, intuitive way to make reasoning visible. Here, it serves as a compact example of reasoning that HRM applies in high-impact domains. Pick a difficulty, generate a puzzle, and watch HRM solve it in the blink of an eye. Feel like setting the challenge? Build your own puzzle and watch HRM reason through it.
Enter or paste your Sudoku puzzle below. Use "." or "0" for empty cells.

Our team brings together top-tier scientists and engineers with experience across leading AI organizations, including Google DeepMind, DeepSeek, Meta, and xAI, as well as strong academic foundations from institutions such as the University of Cambridge, Peking University, Tsinghua University, and the University of Alberta. Advancing AGI as a global effort, Sapient operates across Singapore, Beijing, and Palo Alto.



