Interactive Systems
From discovery to prototypes to production — shipped with research-grade rigor.
A Layered Delivery System
We have a 3 tier delivery system that is used to guide the lab's operations and deliverables.
Long-Term Research
This is our long-term research and development program. This is where we explore projects that span accross multiple disciplines.
1. Games
2. Engines
3. Platforms
4. OS / Hardware
Mid-Term Research
This is our mid-term research and development strategy aimed at exploring new technology and updated solutions. This is our cutting edge tier.
1. Plugins
2. Tools
3. Mechanics
Short-Term Projects
This is our short-term projects and deliverables strategy. This is where we explore and develop new ideas and concepts that might be useful in the future.
1. Ideation and Innovative thinking
2. Insights and Discoveries
3. Rapid Prototyping and Validation
A research-grade delivery system.
Conceptualisation and Literature Review
The lab defines the core research question or mechanic (e.g., adaptive AI, novel haptic feedback, procedural generation). Researchers conduct a literature review of existing academic papers, patents, and industry GDC archives to establish a baseline and avoid duplicating past efforts.
Hypothesis Formulation and Experimental Design
We formulate clear, testable hypotheses about player behavior or system performance. We design the specific variables we want to isolate and measure, mapping out how the theoretical concept will translate into a playable digital or analog prototype.
Rapid Prototyping
The team builds a barebones, iterative prototype—often using engines like Unity, Unreal Engine, or Artyficial Engine—to test the mechanic. These builds strip away complex art and audio, focusing solely on the specific system or interaction being studied to keep development agile and costs low.
Emperical Testing and Data Collection
We run playtesting sessions, integrating analytics tools or proprietary engine telemetry. We collect both quantitative data (e.g., time-to-completion, error rates, input frequency) and qualitative data (e.g., surveys, biometric tracking, and interviews).
Analysis and Iteration
We analyze the collected metrics to validate or disprove their initial hypothesis. Based on these insights, the lab reframes, tweaks, or completely overhauls the design, establishing a loop of continuous refinement until the research goals are achieved.
Let's prototype the future together.
A tight loop from concept → prototype → production, with research woven through every step.