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Welcome to Aspect Studios

Software Engineering and Game Development Studio. We build unique experiences that engage users and drive success.

Ready to Protect Your Game?

Let us bring protection to life with our NEMESIS System.

PROJECT - NEMESIS

NEMESIS is a shared moderation system designed for Roblox developers who want a coordinated approach to handling exploiters across multiple games.

It is not an anti-cheat system. Instead, it functions as a central moderation database where participating developers can report confirmed exploiters. Every submission is manually reviewed by our moderation team to ensure accuracy before any user is added to the global database.

Once a user is verified and added, any game integrated with NEMESIS can query the system using a simple UserID-based request. This allows developers to determine whether a player has been globally flagged and respond accordingly within their own game logic.

Safety

Project NEMESIS is designed to reduce exploiter activity across Roblox experiences through a unified database. Once a user is banned, that status is synchronised globally across all participating games.

Human Moderation

All reports and enforcement actions are reviewed by trained human moderators. Each case undergoes detailed analysis to ensure accuracy, fairness, and consistency in decision-making.

Second Chances

We recognise the value of rehabilitation and second chances. However, repeated violations result in strict enforcement measures, with zero tolerance applied to confirmed re-offenders.

Testimonials

Rapid Integration With Minimal Overhead

We integrated NEMESIS into our Roblox experience in under 10 minutes. The check endpoint is simple, and the database sync is fast enough that bans propagate almost instantly. It removed a huge amount of manual moderation overhead.

Cross-Game Ban Consistency That Holds

What stands out is consistency. We used to deal with repeat exploiters across our game. Now a single confirmed ban actually sticks.

Human Review Adds Trust and Accuracy

The human review process was the deciding factor for us. We were skeptical of any shared ban system, but the verification layer reduces false positives significantly compared to automated-only solutions.

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