Viggle JST-2
A physics-native world foundation model from Viggle that generates explorable 3D scenes, characters and motion from prompts, photos or clips.
A physics-native world foundation model from Viggle that generates explorable 3D scenes, characters and motion from prompts, photos or clips.
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Artificial Intelligence
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Viggle JST-2 is a practical fit for buyers evaluating Artificial Intelligence tools.
- What is Viggle JST-2?
- A physics-native world foundation model from Viggle that generates explorable 3D scenes, characters and motion from prompts, photos or clips.
- Who is it for?
- 3D animators who need to generate motion and characters quickly
- Pricing
- unknown · View pricing
Product information
What this product does
JST-2 is Viggle’s physics-native world foundation model for generating 3D scenes, characters and full-body motion in one shared world. Scenes take about one second, characters come from one image or text with motion built in, and motion comes from text or video. Try it free in the PINOC browser app, or use the API or MCP with agents like Claude Code. Benchmarks are Viggle’s own blind human tests.
Sourced from viggle.ai
Works With
Platforms
- Web
- API
- iOS
AI Models
- JST-2
- JST-1
Company & Maker
Who built Viggle JST-2?
- Company
- Viggle (viggle.ai)
- Product
- A physics-native world foundation model from Viggle that generates explorable 3D scenes, characters and motion from prompts, photos or clips.
- HQ
- Toronto
- Founded
- 2022
- Team size
- 11-50
- Live since
- Oct 2026
- Founders
- Hang Chu - Co-founder, CEO
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
Problem Solved
What problem does Viggle JST-2 solve?
JST-2 is for game developers, creative-tool builders and 3D creators who want worlds they can walk through. Many world models learn in pixel space, so 3D structure comes out indirectly and building a scene can take minutes. JST-2 models the world as persistent atoms in 3D space and generates a scene in about one second, at an inference cost below $0.01, decoded into 3D Gaussian splats you can explore in the browser without rerunning the model. A game designer can type a village prompt and walk around it seconds later.
See It In Action
Does Viggle JST-2 have a demo?
Yes — watch the walkthrough below.
Researched with AI · Data refreshed yesterday · How we score
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JST-2 is a physics-native world foundation model that generates 3D scenes, characters, and full-body motion from text or images. It runs through the PINOC browser app, an API, or an MCP for agent workflows.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Generate explorable 3D scenes from a text prompt or a photo
- Expand a 3D world one viewpoint at a time
- Reconstruct a 3D environment from a few real-world images
- Add character creation and motion renders to an app through the API
- Generates 3D scenes in about one second
- Creates characters from a single image or text prompt
Pricing reality
Vendor stated
Try free in the PINOC browser app
Actual cost
Pricing details missing from public signals
Hidden costs
2 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
From $0
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Free
0.00
Starter
For creators shipping work regularly.
10.39
Pro
For production volume.
31.99
General buyer tips
Common across software subscriptions, not findings about this product.
True cost for your case
LIVE ESTIMATEEstimated spend
$0Recurring billing is usually the real cost driver, not the first-month sticker price.
Prices change often — confirm on the vendor's site before you buy.
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Activity signals
Insufficient data
Only 6 of 5 minimum public signals linked. Score appears once we collect 0 more independent signals.
HOW THIS TOOL SCORES
Scores compare this tool with 49 similar tools in Artificial Intelligence. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (30%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
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Google Trends live interest
Live Google Trends data for Viggle JST-2: interest over time, regions, topics, and related queries.
Tracks 12-month Google search interest on a 0-100 relative interest scale.
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FAQ
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Community & reach
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Sources and methodology
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