An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Hyperstone
About Hyperstone
Hyperstone is a machine-learning platform designed for game studios to optimize monetization, player engagement and in-game economies. It replaces manual A/B testing with automated, real-time exploration of parameter combinations such as pricing tiers, ad placement, difficulty levels and bundle contents. The system continuously learns from player behavior and adjusts configurations dynamically to maximize target metrics like ARPU, retention or LTV. Integration is supported via Unity SDK or server-to-server API for over 25 platforms and genres, with a 30-minute setup time. The platform provides deep analysis tools, remote configuration dashboards and real-time analytics to help teams make data-driven decisions without waiting for periodic reports. It is marketed toward indie studios, publishers and enterprise teams, offering both free access for small projects and scalable paid plans based on optimized user volume.
Key features
- Unity SDK and server-to-server API
- Real-time analytics and automated decisions
- Multi-parameter optimization
- Remote configuration management
- Advanced correlation reports
- Traffic auto-routing to best configurations
- Bundle and pricing optimization
- Genre-agnostic support
Use cases
- Dynamic in-app purchase pricing optimization
- Real-time difficulty adjustment to reduce churn
- Regional bundle and discount tier testing
Pros
- Supports 25+ platforms and game genres
- 30-minute SDK integration
- Real-time automated optimization
- Handles combinations of parameters simultaneously
- Free tier for up to 20,000 users
Cons
- Paid plans scale with optimized user count
- No explicit free tier beyond 20,000 users
- Requires SDK or API integration
- Billing metric tied to optimized users only
Frequently asked questions about Hyperstone
What is Hyperstone and how does it optimize games?
Hyperstone is an ML-driven platform that automatically discovers and applies the best combinations of game settings—such as pricing, difficulty, or ad placement—to maximize revenue, retention, or other key metrics. It explores multiple parameter combinations simultaneously and converges on optimal configurations without manual intervention.
Who is Hyperstone designed for?
The platform serves indie studios, mid-sized teams, and enterprise publishers, with tailored workflows for developers, game designers, monetization specialists, analysts, and producers. It supports teams of all sizes through scalable plans and free access for small projects.
How does Hyperstone handle pricing and difficulty adjustments to avoid breaking games or upsetting players?
Users define boundaries such as minimum and maximum values, price tiers, or conditional rules. The algorithm only explores combinations within these predefined constraints, ensuring changes remain within acceptable limits and community expectations.
What integrations does Hyperstone support?
Hyperstone offers a Unity SDK and a server-to-server API, enabling integration with over 25 platforms and game genres. The setup typically takes around 30 minutes, and documentation is provided for both minimal and comprehensive installation paths.
Can Hyperstone replace traditional A/B testing?
Yes. Hyperstone replaces sequential A/B testing by evaluating hundreds of parameter combinations at once, identifying optimal configurations much faster than manual or periodic testing methods. This approach accelerates decision-making and reduces reliance on delayed reports.
How do I get started with Hyperstone?
Users can begin with a free plan or schedule a demo for personalized guidance. Installation involves integrating the Unity SDK or server-to-server API, followed by defining optimization goals and constraints. Detailed documentation and AI-assisted setup prompts are available to streamline the process.