SaaS Platform

Game AI Platform

The platform covers four areas: code generation, graphics generation, AI playtesting, and engine integration. Each is available through a single API, and all processing runs on our private infrastructure.

The platform is delivered as a SaaS product with full API access. Studios and independent developers can integrate it directly into their existing CI/CD, editors, and custom tools.

In Development

Code Generation

AI-assisted coding that understands game engine APIs, codebase architecture, and the specific workflows of game programmers. From entity-component systems to shader code to gameplay logic, the platform generates code that fits your project, not generic snippets.

Engine Awareness
Understands Unity, Unreal, Godot, and custom engine APIs out of the box.
Codebase Context
Maintains context across your entire project, not just the current file.
API Access
Integrate into your CI/CD, editors, and custom tools via a clean REST API.
Private Infrastructure
Runs on our own hardware. Your source code never trains public models.

Graphics Generation

AI-driven asset generation built for game production pipelines. Generate textures, sprites, concept art, and visual effects that are production-ready, not generic image outputs. The system understands game art constraints: tileable textures, sprite sheets, normal maps, and consistent art styles across an asset set.

Texture Generation
Tileable textures, PBR materials, and normal maps generated to spec.
Sprite & 2D Assets
Sprite sheets, character art, and UI elements in consistent styles.
VFX & Shaders
Procedural visual effects and shader code tuned to your engine.
Style Consistency
Maintains a coherent art direction across every generated asset.

AI Playtesting

A testing platform where AI agents playtest your game directly. Instead of scheduling human QA sessions, you configure AI agents to run through levels, interact with mechanics, and report what they find. The system identifies bugs, stuck states, balance issues, and unreachable areas automatically.

Automated Runs
AI agents play your game continuously, covering paths human testers might miss.
Bug Detection
Identifies crashes, stuck states, soft-locks, and progression blockers.
Balance Feedback
Reports on difficulty curves, encounter balance, and resource economy.
Coverage Reports
Tracks which areas, mechanics, and paths were tested and which were not.

Engine Integration

The platform connects directly to your game engine workflow. Whether you are working in Unity, Unreal, Godot, or a custom engine, the API lets you pull generated code, assets, and playtest reports into your pipeline without manual copy-paste. Everything runs on our private infrastructure, so your source code and assets never leave your control.

Unity
Direct integration with Unity projects and CI/CD pipelines.
Unreal
Pull generated code and assets into Unreal Editor and build systems.
Godot
Full support for Godot projects and GDScript workflows.
Custom Engines
REST API works with any engine or internal toolchain.
Case Study

Built With Our Tools

Raja Rasalu and the Land of Five Rivers is an action-adventure game developed by Loser Mentality Games, a sub-brand of Intech Creative. Pitched at Gamescom 2025, the game is a modern reimagining of the oral traditions of Raja Rasalu, rooted in the history and culture of the Punjab region.

Our AI platform is being used to build this game. Code generation assists with gameplay logic and engine integration. Graphics generation supports asset pipelines for textures, environments, and character art. The playtesting platform is used to validate mechanics, identify bugs, and tune balance across the game's interconnected zones.

The pitch deck below was presented at Gamescom 2025 and covers the game's story, art direction, mechanics, and design philosophy.

Additional Services

Other Offerings

Beyond the Game AI Platform, we take on per-client engineering projects. We build and adapt AI models for specific business use cases, working below the application layer to customize the models themselves through fine-tuning, continued pretraining, retrieval-augmented generation, and structured prompt engineering with DSPy.

Fine-Tuning

We retrain model weights on your domain-specific data so the model develops a deeper understanding of your field, terminology, and output formats. This is not prompt engineering; it is changing how the model itself works.

Retrieval-Augmented Generation (RAG)

For use cases where fine-tuning is impractical, we build pipelines that let the model pull from your proprietary knowledge base in real time. This keeps information current without retraining and gives you full control over what the model can reference.

Continued Pretraining

For domains with specialized vocabularies or large corpora of proprietary data, we extend a model's foundational knowledge before any task-specific work begins. The result is a model that speaks your language fluently before it ever sees a task-specific instruction.

Structured Prompt Engineering with DSPy

We use DSPy, a framework that treats prompts as optimizable programs rather than hand-written strings. This makes system behavior reproducible and testable rather than dependent on individual intuition.

These techniques are not mutually exclusive. A single engagement might combine continued pretraining for domain knowledge, fine-tuning for task accuracy, RAG for up-to-date references, and DSPy for reliable output structure.

Engagement Models

Because we build and host custom models, our pricing doesn't depend on someone else's per-token rate card. We control the full stack, which means we can offer pricing that's predictable rather than metered.

Workflow-Based Pricing

You pay for the workflow, not raw tokens. We build you a custom application powered by a model adapted to your use case, eliminating token wastage behind the scenes. You get the full quality of a model built for your business, carefully allocated to save you money without holding you back.

Dedicated Model Hosting

We build and host custom models on dedicated infrastructure at a fixed rate. Your models run on hardware scaled to your usage, with no per-token meter and no surprise overages.