# Physicl

> Synthetic 3D training data for robotics and world models, focused on the rare scenes where models fail.

## Why it is interesting

Its $10M November 2026 seed backs targeted post-training data rather than another general-purpose robotics foundation model. Studio lets teams control scene variation and export geometry-derived labels; physical-world transfer is not proven by a rendered demo.

## Profile

- **Latest funding:** Seed (announced) — $10 million (November 6, 2026)
- **Latest known valuation:** Undisclosed (November 6, 2026)
- **Total disclosed equity funding:** $10M
- **Stage:** seed
- **Status:** private
- **Industries:** N/A
- **Coverage:** full
- **Last updated:** 2026-11-08
- **Latest funding investors:** Inovia Capital, U.S. Venture Partners

## Key facts

- $10M seed announced November 6, 2026: Inovia Capital lead; U.S. Venture Partners participated; valuation undisclosed.
- Studio private beta, with company-advertised 10,000+ 3D scenes and 100,000+ objects.
- Geometry-derived per-frame labels: depth, normals, segmentation, bounding boxes and camera pose.
- SpAItial's more-than-halved reconstruction error is a selected company/customer case, not independently audited proof.

## Funding history

- Seed (announced) · $10 million · November 6, 2026
  Source: https://www.globenewswire.com/news-release/2026/11/06/3397485/0/en/physicl-raises-10-million-to-solve-physical-ai-s-edge-case-gap.html

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)
**Last updated:** November 8, 2026

**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.

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Source: https://venturecapitaltracker.com/startup/physicl