Artificial.Agency Company Profile

Background

Overview

Artificial.Agency is an AI-driven company specializing in generative behavior for the gaming industry. Founded in 2023 and headquartered in Edmonton, Alberta, Canada, the company focuses on developing AI-powered behavior engines that integrate runtime decision-making into game mechanics, creating immersive and dynamic gaming experiences.

Mission and Vision

The company's mission is to revolutionize the gaming industry by providing developers with tools to create games that feel truly alive. Its vision is to empower studios of all sizes to integrate intelligent agents into their games, enhancing character expressiveness, dynamic encounters, and personalized player experiences.

Primary Area of Focus

Artificial.Agency's primary focus is on developing AI behavior engines that enable game developers to embed autonomous decision-making into game systems, resulting in characters and environments that respond dynamically to player actions.

Industry Significance

By introducing generative behavior into gaming, Artificial.Agency is at the forefront of a technological shift that aims to make virtual worlds more interactive and responsive, setting new standards for player engagement and game development.

Key Strategic Focus

Core Objectives

• Empowering Developers: Provide tools that allow game creators to integrate intelligent agents seamlessly into their projects.

• Enhancing Player Experience: Create games with characters and environments that adapt to player actions, offering personalized and immersive experiences.

• Innovating Game Mechanics: Introduce new gameplay dynamics through AI-driven behaviors, enabling novel game designs and interactions.

Specific Areas of Specialization

• AI Behavior Engines: Developing engines that facilitate the integration of autonomous decision-making into game systems.

• Generative AI in Gaming: Pioneering the use of generative AI to create dynamic and responsive game environments.

Key Technologies Utilized

• Reinforcement Learning: Employing reinforcement learning techniques to train AI agents capable of complex decision-making.

• Foundation Models: Utilizing large-scale AI models to enhance the adaptability and intelligence of in-game agents.

Primary Markets or Conditions Targeted

• Game Development Studios: Providing tools for both large AAA studios and independent developers to enhance their game design capabilities.

• Interactive Entertainment: Focusing on the broader gaming industry, including virtual reality and augmented reality platforms.

Financials and Funding

Funding History

Artificial.Agency has successfully raised a total of $16 million across two funding rounds. The most recent funding round was a seed round of $12 million completed in July 2024.

Notable Investors

• Radical Ventures: A venture capital firm focused on AI-driven companies.

• Toyota Ventures: The venture capital arm of Toyota, investing in innovative technologies.

• Flying Fish Ventures: A venture capital firm supporting early-stage technology companies.

• Kaya: An investment firm focusing on technology and innovation.

• BDC Deep Tech: The deep tech investment arm of the Business Development Bank of Canada.

• TIRTA Ventures: A venture capital firm investing in interactive entertainment.

Intended Utilization of Capital

The capital raised is intended to accelerate the development of Artificial.Agency's flagship product—the AI-powered behavior engine—and to expand its market presence within the gaming industry.

Pipeline Development

Key Pipeline Candidates

• AI-Powered Behavior Engine: The company's primary product, designed to integrate runtime decision-making into game mechanics, enabling dynamic and intelligent in-game behaviors.

Stages of Development

• Alpha Launch: The behavior engine was in its alpha phase as of July 2025, with plans for a wider release in 2026.

Target Conditions

• Game Development Processes: Aiming to enhance the efficiency and creativity of game development by providing advanced AI tools.

Relevant Timelines for Anticipated Milestones

• 2025: Expected widespread availability of the behavior engine to game studios.

Technological Platform and Innovation

Proprietary Technologies

• Behavior Engine: An AI-powered engine that integrates autonomous decision-making into game systems, creating responsive and dynamic in-game environments.

Significant Scientific Methods

• Reinforcement Learning: Utilized to train AI agents capable of complex decision-making and adaptive behaviors.

• Foundation Models: Employed to enhance the adaptability and intelligence of in-game agents.

Leadership Team

Key Executives

• Brian Tanner: Co-Founder and CEO with 25 years of experience in reinforcement learning and AI, including research with Richard Sutton and engineering leadership at DeepMind.

• Alex Kearney, PhD: Co-Founder and Head of Agents, holding a PhD in Reinforcement Learning with Richard Sutton, and previous experience as a Research Scientist at DeepMind.

• Chris Entwistle: Head of Game Product, a veteran game producer with over 20 years of experience at BioWare, Improbable, and Bizarre Creations.

• Mark Jaskiewicz: Engineering Lead, Games (Founding), with 20 years of experience on titles like Mass Effect, Anthem, and Dragon Age.