Scale AI
Data labeling & evaluation · https://scale.com
Verdict: Hold · Confidence: low · Reviewed 2026-10-15
Meta's 2025 stake triggered major customer losses; company reports ~$1B 2025 revenue and enterprise growth, but data is mostly company-stated.
Rubric
| Dimension | Score (1–5) | Notes & sources |
|---|---|---|
| Real customers & revenue quality Are there named paying customers, recurring revenue, and retention evidence? | 3/5 | Forbes reports $870M 2024 revenue and Scale saying 2025 was just under $1B; OpenAI wound down work.
|
| Unit economics Do gross margins survive inference/compute costs? Is pricing durable? | Unknown | Private company; gross margin and inference costs not publicly disclosed. |
| Moat Proprietary data, distribution, switching costs, or tech that is hard to copy? | 2/5 | Data labeling faces competition (Surge, Mercor, etc.) and labs shifting vendors.
|
| Platform risk Could a model provider or incumbent ship this as a feature? (higher score = lower risk) | 2/5 | Neutrality concerns after Meta's 49% stake led Google, OpenAI and others to pull back.
|
| Team & execution Shipping cadence, leadership track record, stability. | 3/5 | Founder departed to Meta; company pivoting toward enterprise apps per Forbes.
|
| Funding vs. traction Is capital raised justified by verifiable traction? | 2/5 | $14.3B Meta investment vs roughly flat-ish ~$1B revenue.
|
| Hype signals Demo-driven marketing, vague metrics, valuation outrunning evidence? (higher score = fewer red flags) | 3/5 | Fewer hype signals now; uncertainty is execution.
|
Listing source: https://scale.com. Revenue, users, and valuation figures appear only when publicly sourced; otherwise they are marked unknown.