Igraverse The AI Engine of the Gaming World

Igraverse is building the future of gaming through artificial intelligence, creating tools that help developers make games faster and smarter, give players real AI driven coaching, and unlock entirely new ways for games to be created and experienced.

MetaBuffed

MetaBuffed helps gamers reach their full potential through real gameplay analysis giving accurate AI coaching based on live online competition and evolving game metas.

Enter
TruePlay AI

TruePlay AI recreates real opponents playstyles through artificial intelligence, letting gamers train against lifelike versions of the players they face online to improve faster and smarter.

Enter
Dev Tools

Dev Tools empower developers with AI systems that automate asset creation rigging logic building and testing to make game development faster smarter and more accessible.

Coming Soon
Game Generation

Describe a world or a mode and watch a playable build come together in minutes. This is the bridge from gamer to studio.

Enter
MetaBuffed

Upload or stream first. Your analysis appears below in a clean report with time stamped callouts and meta tuned tips.

Drop your MP4 here
Or paste a link from YouTube or Twitch
Ask a Coach
You
How do I stop paint mashing in 2K
Coach
Bait with a half step then hold position. Force switches after three possessions and make them finish over hands. Stagger help from the weak side to kill the mash rhythm.
Analysis Feed

Preview key moments meta tips and momentum shifts.

TruePlay AI

Your second player powered by data. TruePlay learns your patterns mirrors common ranked styles and simulates exploit heavy tactics so you adapt for real competition.

How it helps you win

Reads timing spacing movement and stamina in real time. Recreates the styles you face online so practice feels like ladder matches not bot drills.

Pattern mirror

Builds sparring partners from live data and uploaded matches.

Exploit sim

Tests patch era cheese and counters so you learn answers fast.

Instant cues

On screen prompts and short voice notes for timing and spacing.

Developer Tools

Dev Tools give game creators AI systems that make development faster, smarter, and more efficient while opening the door to entirely new forms of gameplay and immersion, pushing the boundaries of what's possible and expanding how games are created and experienced like never before.

AI Asset Generator

Upload a sketch image or prompt and get a fully rendered rig ready 3D model with real time preview and export to Unity Unreal or Blender.

Auto Rigging and Motion Retargeting

Detects limbs builds a clean skeleton and applies motion data. Retarget movement between models seamlessly and preview before export.

Logic Composer

Type what you want and the system creates working logic trees you can edit visually. Export straight to your engine.

BugSmith Core

Frame by frame analysis finds animation texture physics and logic issues. Time stamped reports and pattern tracking for cleaner releases.

Coming Soon

Game Generation

Igraverse is creating a new era of gaming where imagination becomes the controller. With our game generation platform anyone can describe an idea and watch it transform into a fully playable experience complete with menus, AI opponents, environments, soundtracks, and more. Every detail can be shaped, refined, and customized through AI letting users design games scene by scene or create entire worlds in one go. Players can build, share, and even sell their creations turning passion into opportunity. This is not just a tool it is a revolution that turns gamers into creators and makes the future of play limitless.

A street boxing story in futuristic TokyoA basketball simulation with real player emotionAn open world survival on Mars
Characters and AI
Generate fighters teammates rivals and crowd behavior with real tendencies and emotion.
Worlds and Physics
Forge arenas streets stadiums and materials with grounded movement collisions and ballistics.
Logic and Systems
Create rules objectives menus cameras audio and HUD with natural language.
Step 1
Type an idea and preview a scene with placeholder art and core mechanics.
Step 2
Refine characters worlds and logic piece by piece using short prompts.
Step 3
Auto build menus AI opponents soundtracks cameras and effects.
Step 4
Play share or sell your creation in the Igraverse library.
Igraverse โ€“ Preservation Core Platform
๐Ÿ‘‰
Start Here: How Your Studio Gets Access

Ready to adopt Preservation Core? Here's exactly what to do:

1๏ธโƒฃ
Request Access
Contact Igraverse
2๏ธโƒฃ
Get Credentials
API Key + URL
3๏ธโƒฃ
Test Here
Use sandbox below
4๏ธโƒฃ
Go Live
Deploy to production
๐Ÿš€ Ready to Get Started?
Contact your Igraverse representative or email us to request access and receive your API credentials.
๐Ÿ“ง Email: support@igraverse.com
๐Ÿ’ฌ Contact Account Manager
๐Ÿ“‹
Detailed Onboarding Steps

Complete onboarding process: Here's what happens after you request access.

1Request Access & Obtain Credentials

Contact your Igraverse representative to request access to Preservation Core. You'll receive:

  • API Base URL: Your dedicated endpoint (e.g., https://api.igraverse.com)
  • API Key: Authentication credential for your studio
  • Sandbox Access: Test environment credentials
  • Production Credentials: Provided after sandbox validation
What you'll receive: API Base URL, API Key (sandbox + production), integration documentation, and support contact.
2Test in Sandbox Environment

You're currently viewing the sandbox test harness. Use this interactive demo to:

  • Validate disconnect classification logic with real scenarios
  • Test intentional quits, network drops, and normal match completion
  • Verify API responses match your game's requirements
  • Review signal breakdowns to understand decision logic
๐Ÿ”ง Sandbox API: Use your sandbox credentials to make test API calls to POST https://sandbox.igraverse.com/api/preservation-core/classify with your sandbox API key in the Authorization header.
3Integrate into Your Game (30-60 minutes)

Add the API call to your existing disconnect handler:

  1. Capture network state (latency, packet loss, connection status)
  2. Detect explicit quit actions (Alt+F4, quit button, etc.)
  3. Make API call with your sandbox credentials
  4. Apply the lossApplied decision from the response
๐Ÿ“š Integration Guide: See the Day-1 Integration Guide for copy-paste ready code examples.
4Deploy to Production

Once sandbox testing is complete:

  • Request production credentials from your Igraverse representative
  • Update your API endpoint to the production URL
  • Replace sandbox API key with production key
  • Deploy to your game servers
โœ… Production Ready: The API logic you tested in sandbox is identical to production. No code changes needed - just update credentials and endpoint URL.
Sandbox vs Production:
Sandbox Environment
  • For testing and validation
  • Same API logic as production
  • No rate limits for testing
  • Test credentials provided
Production Environment
  • For live game servers
  • Identical API logic
  • Production-grade SLA
  • Production credentials required
โ˜๏ธ
No Download Required โ€“ Cloud-Based API Service
Preservation Core is a cloud-based API. Game studios like EA Sports don't download or install anything. Instead, your game servers make simple HTTP POST requests to our API endpoint when a player disconnects. No SDK, no libraries, no installation โ€“ just API calls.
How Game Studios Integrate (Example: EA Sports)

Real-world integration flow:

  1. Player disconnects during an online match (e.g., FIFA, Madden)
  2. EA's game server detects the disconnect (using their existing networking code)
  3. EA's server captures network data: latency, packet loss, connection status, quit action
  4. EA's server makes API call: POST https://api.igraverse.com/api/preservation-core/classify
  5. Preservation Core responds: { "lossApplied": false }
  6. EA's server applies the decision: If lossApplied: false, the match is preserved (no loss recorded). If lossApplied: true, a loss is applied.
Integration time: ~30-60 minutes. Add the API call to your existing disconnect handler. Works with Unity, Unreal, custom engines, or any platform that can make HTTP requests.

Goal: Eliminate unfair online losses when players disconnect due to internet issues instead of quitting.
How: Add a small API call in your disconnect handler that sends basic connection data and applies the yes/no decision it returns.

Sandbox Test Harness: This interactive demo is part of your sandbox environment. Use it to validate disconnect detection, classification, and loss application logic before integrating Preservation Core into your live game servers.

API Endpoint: Call POST /api/preservation-core/classify from your disconnect event handler. Pass: quit action + network state (latency, packet loss, connection status). Day-1 integration: ~30-60 minutes. See FAQ for quick answers.
Note: This demo uses the exact same logic as the real API endpoint. The `classifyDisconnect()` function used here is identical to what the API calls. Results in this demo match what you'll get from POST /api/preservation-core/classify.
Sandbox Test Match (Player vs AI)
Sandbox Testing: This interactive test harness uses the exact same API logic as production. Test different disconnect scenarios to validate how Preservation Core will classify disconnects in your game. The decision is enforced post-match when the match status changes to "completed" or "disconnected".
Important: Preservation Core only decides loss vs. no loss. Your game always owns match state, scores, and reconnection logic. When `lossApplied: false`, you decide how to handle it (no contest, allow reconnection, etc.).
Match timer
40s
Status
Idle โ€“ ready to start test match
Player
0
AI
0
Live network state
Latency: 40 ms ยท Packet loss: 1.0% ยท Connected: yes
For Test C, Preservation Core will inspect latency, packet loss and connection flag before the drop.
Match Result / Preservation Report
After each run, validate Test A (normal finish), Test B (intentional quit) and Test C (network drop) against the values below.
No report yet. Start a test match to generate a Preservation Core decision.
Expected behaviour:
  • Test A โ€“ normal match: let timer expire with no quit or drop โ†’ disconnect detected: no, classification: none, loss applied: normal win/loss only.
  • Test B โ€“ intentional disconnect: press Quit while running โ†’ disconnect detected: yes, classification: intentional_disconnect, loss applied: yes.
  • Test C โ€“ unintentional disconnect: click Simulate Network Drop โ†’ disconnect detected: yes, classification: unintentional_disconnect, loss applied: no.