---
title: "VAST Raises ~$446M Across Series B and B+ for 3D World Models"
description: "VAST closed roughly $446M (~¥3B) across Series B and B+ financings on September 1, bringing six-month funding to about $744M as its Tripo platform pushes into gaming, design, and simulation workflows."
date: 2026-09-01T00:00:00.000Z
tags: ["2026-vc-news", "startup-funding", "venture-capital", "artificial-intelligence", "robotics"]
source: https://venturecapitaltracker.com/2026-vast-rmb3b-series-b-world-models
---

# VAST Raises ~$446M Across Series B and B+ for 3D World Models

> VAST closed roughly $446M (~¥3B) across Series B and B+ financings on September 1, bringing six-month funding to about $744M as its Tripo platform pushes into gaming, design, and simulation workflows.

Hong Kong– and San Francisco–linked **VAST closed roughly $446 million** across Series B and B+ financings on September 1, according to [DealStreetAsia](https://www.dealstreetasia.com/stories/tripo-ai-series-b-rounds-493956). [Xinhua Finance](https://www.cnfin.com/gs-lb/detail/20260901/4463474_1.html) reported the same transaction as **about ¥3 billion (30亿元)**—not $3 billion.

The company says fundraising over the past six months now totals about **$744 million (~¥5 billion)**. That pace matters because VAST is selling 3D-native world models as infrastructure for gaming, design, and longer-term simulation—not because the headline yuan figure should be read as a US-scale multibillion-dollar round.

Matrix Partners China led. Industrial investors included Perfect World, BlueFocus, ThunderSoft, and 37 Interactive Entertainment; financial backers included CDH VGC, CICC Capital, and CMC Capital, alongside returning shareholders.

## The financing

| Field             | Detail                                       |
| ----------------- | -------------------------------------------- |
| Amount            | **~$446M** (~¥3B / 30亿元, company-reported) |
| Stage             | Combined Series B and B+                     |
| Lead              | Matrix Partners China                        |
| Valuation         | Not disclosed                                |
| Six-month funding | Company-reported ~$744M (~¥5B)               |

DealStreetAsia converted the yuan disclosure at its stated rate. Xinhua’s **30亿元** means **3 billion yuan** in Chinese financial notation (30 × 100 million), which English-language reports map to roughly **$420M–$446M** depending on the FX assumption.

## What VAST is financing

VAST builds **Tripo**, a platform that turns text and images into production-ready 3D assets and world-model environments. Xinhua cited commercial deployments with NetEase’s _Egg Party_, Qunhe’s Coohom, and Bambu Lab integrations—evidence the product is shipping into game and design workflows today.

The company frames **Project Eden** and its Tripo model family as a bridge toward simulation-ready 3D for embodied AI. That is a roadmap claim: Tripo marketing discusses robotics pipelines, but the September 1 financing release emphasized gaming, 3D printing, XR, and design partners—not named Isaac Sim or Gazebo integrations.

## What is not proven

VAST did not disclose revenue, paying customers, gross margins, valuation, or how the ~$446M splits between the B and B+ closes. Partner logos show distribution into content workflows, not audited simulation adoption at scale.

The financing therefore prices ambition in the 3D-native AI stack before public operating evidence shows how much enterprises will pay for world models outside creative production. The decisive metric is repeatable commercial use in live design and game pipelines—not model demos alone.

See the [September 1 funding roundup](/2026-september-1-vc-news-ai-defense-climate) and [Wafer’s $40M AI-inference Series A](/2026-wafer-40m-series-a-ai-inference) for the same day’s infrastructure financing.

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.