Meshcapade
The avatar platform of meta-commerce.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
* | $6.0m | Seed | |
| Total Funding | 000k | ||
| EUR | 2021 | 2022 |
|---|---|---|
| Revenues | 0000 | 0000 |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Company filings or news article
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Meshcapade, founded in 2018, is a deep-tech company specializing in the generation and analysis of 3D digital humans, often referred to as avatars. The company originated from the Max Planck Institute for Intelligent Systems in Tübingen, Germany, and is strategically located within Cyber Valley, a prominent European AI research hub. The founding team consists of Naureen Mahmood, Talha Zaman, and Professor Michael J. Black, a distinguished computer vision scientist and director at the Max Planck Institute. Professor Black's extensive research in creating realistic 3D human models from images and text forms the scientific bedrock of Meshcapade's technology.
The firm's core business revolves around a sophisticated platform that provides tools for creating, animating, and utilizing lifelike 3D human avatars. This technology serves a diverse client base across various sectors, including fashion and apparel for virtual try-on solutions, sports for performance analysis, healthcare for digital health applications, and entertainment for gaming and virtual reality experiences. Meshcapade's business model is anchored in a platform-as-a-service (PaaS) offering, providing API access to its patented technology, which allows businesses to integrate advanced avatar creation and analysis into their own products and services. Revenue is generated through subscriptions and usage-based pricing for its API and SDKs.
The company's flagship product is a comprehensive suite of tools that can generate statistically representative 3D human models from a variety of inputs, including text descriptions, body measurements, or 3D/4D scans. A key differentiator is its ability to create these avatars with high anatomical accuracy and realistic body shape and motion, based on one of the world's largest databases of 3D body scans. In 2023, Meshcapade secured a significant milestone with a $6 million seed funding round led by Matrix Partners, which is intended to fuel the expansion of its platform and team.
Keywords: 3D avatars, digital humans, computer vision, platform-as-a-service, virtual try-on, body measurement, digital fashion, AI avatars, human motion analysis, avatar generation