Sustainable, Efficient Game Development

Make better games, faster. AI-driven procedural content generation allows studios to create dynamic, diverse game worlds and assets – enhancing player experiences and improving game quality while supporting sustainable production by reducing crunch time and resource demands.

The Problem

The gaming industry is growing rapidly. In 2023 alone, almost 14,000 new games were released on Steam—a 70% increase from 2019. With global revenue projected to reach $363.2 billion by 2027, studios face increasing pressure to produce high-quality content at scale. Creating engaging environments, characters, and levels is often critical for success, but current manual development processes are resource-intensive and time-consuming.

The AI Opportunity

By automating the creation of expansive worlds, levels, and assets, developers can improve development efficiency, freeing them to focus on high-impact aspects of game design such as storytelling, gameplay mechanics, and player experience. By reducing reliance on manual processes, AI also supports more sustainable production practices, enabling studios to meet growing content demands without overextending resources.

Why It Matters

AI procedural content generation enables the efficient production of diverse and ever-changing game environments and assets. This enhances player experiences by delivering engaging and ever-changing gameplay. Developers gain the freedom to focus on creativity and detail work, improving the overall quality of their games. It also supports more sustainable production practices, helping studios reduce reliance on crunch time and manage resources more effectively.

Benefits & Impact

Enhanced Player Engagement

AI enables dynamic, ever-changing game environments, keeping players engaged across multiple playthroughs with unique gameplay experiences.

Increased Efficiency

Automated generation reduces development time, allowing studios to meet deadlines and focus resources on creativity and innovation.

Sustainable Development

AI minimizes the need for extended work hours and crunch time, promoting healthier production practices.

AI Methods & Models

Purpose: Automatically create diverse, expansive game environments and levels.
Why: Speeds up development and enhances player immersion.
Tools/Models: Procedural algorithms (e.g., Perlin noise), rule-based terrain generators, voxel engines (e.g., Cubiquity).

Build Your AI Solution with Amii

As one of Canada’s three national AI institutes, Amii brings decades of expertise, advancing AI innovation and delivering industry solutions to your team. Whether you’re just starting to explore the possibilities of AI or are ready to develop advanced AI models, Amii is here to help.

Training

A successful AI solution requires both technical know-how and a strong understanding of your business. Our training aligns technical and non-technical teams, creating a shared language and fostering the collaboration needed for successful AI implementation.

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Strategy

We collaborate with your team to brainstorm, evaluate, and prioritize AI use cases aligned with your business goals, building your internal capacity along the way. Our experts then validate the top idea, positioning your team for a smooth transition into development.

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Development

Our unique approach places a full-time Machine Learning Resident within your team, supervised by Amii experts, to help build a custom AI solution. After the project, you have the option to hire the resident, ensuring continuity to deployment and expanding your internal AI capacity for future AI innovation.

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