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Start with what exists.
Work with the project’s assets, selected model, code, and technical environment. Define how these inputs relate to the task.
About NEW G
The work between
a model and a game.
AI training, data production, and compute engineering—connected to the materials and tools in your development process.
Why this work matters
Useful AI needs
an engineering path.
Game teams are bringing AI into asset processing, content production, and internal tools. Once a model runs, there is still data to organize, a model to adapt, inference to deploy, and a workflow to maintain.
NEW G focuses on those connections. We support game studios, game technology teams, and AI tool developers with technical tasks that can be executed, repeated, and updated.
How we approach engineering
Work from the project.
Deliver for the next step.
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Keep the work repeatable.
Organize data, configurations, execution records, and update procedures so the workflow can continue as the project changes.
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Make delivery usable.
Agree on the files, interfaces, tools, and documentation the team needs to receive and use after handover.
Models & data
Different tasks.
A connected foundation.
Rendered samples can become training data. Model experiments can reveal where data needs improvement. Inference deployment can turn those results into an internal tool.
We bring those engineering stages together while defining the requirements of each one.
Compute & execution
Resources organized
around the workload.
Our available resources include consumer and data-center GPUs with interconnect capability. Execution is planned around memory, communication, rendering, and runtime needs.
The project determines how resources are used, how outputs are recorded, and how the workflow is maintained.
Who we work with
For the teams building
game technology.
We support work across game genres and visual styles, with engagement defined by the engineering task.
Explore ways to work together ↗01Game studiosDevelopment
02Game technology teamsR&D
03AI tool developersIntegration
Connect the project’s data, models, and compute—so the team can keep moving.
Start a conversation
Tell us what you’re working on.
Tell us about your task, the assets or code you have, and the results your team needs.