use cases

relign is a step towards artificial general intelligence. the technology has far-reaching application, because it is a fundamental tool that teaches base models how to think.

This allows the reasoning model to do anything a human is capable of - scientific research, software engineering, financial analysis, psychological analysis, the list goes on.

• coding: extremely hard code tasks

  • engineering reasoning models can automatically optimize or refactor complex codebases, debug intricate issues, or even generate entire software modules from high-level descriptions.

• expedite scientific discoveries

  • medical reasoning models rapidly sift through big data to uncover hidden patterns, accelerating breakthroughs in fields like drug discovery, materials science, or theoretical physics.

• solve currently intractable business problems

  • business reasoning models multi-factor scenarios (e.g., dynamic supply chains or real-time forecasting), providing strategies that adapt to shifting constraints.

• interactive and realistic video game characters

  • reasoning-powered npcs learn from players’ actions and adapt dialogue or tactics in real time, creating more immersive, unpredictable gameplay.

• navigate complex real-world problems

  • reasoning models built into autonomous systems (e.g., drones, delivery robots) adjust on the fly to changing conditions, improving tasks like disaster response or large-scale logistics.

• advanced financial tasks

  • trading reasoning models that detect market trends, run automated trading strategies, identify fraud, and optimize risk management, all by analyzing massive datasets in real time.