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SoftwarePrivate
Scale AI
Picks-and-shovels play for AI training data. Every frontier model needs Scale's data labeling and RLHF. Meta acquired 49% non-voting stake at $25B. $249M DoD contract. Revenue projected $2B for 2026.
AI Impact Score
7.5/10
↑ Positive
Scoring Breakdown
Sector Base
9
AI Revenue Exposure
10
Moat Durability
7
Disruption Risk (lower=better)
6
AI Adoption Maturity
9
Key Investors
49%
Meta
5%
Amazon
4%
Accel
Scenarios
Bull Case
Revenue doubling to $2B (130% YoY). Customers ARE the AI industry — can't build frontier AI without Scale. If synthetic data matures slower, advantage extends 3-5 years.
Bear Case
Existential risk: synthetic data and automated red-teaming making human labeling obsolete — stated goal of every major AI lab. Revenue concentration in 3-4 mega-clients.
Key Factors to Watch
- ●Meta acquired 49% non-voting stake at $25B valuation
- ●$249M DoD contract — governments treating data quality as national security
- ●Revenue projected $2B for 2026 vs $870M in 2024
Score History
| Date | Score | Direction | Note |
|---|---|---|---|
| 2026-03-08 | 7.5 | Positive | Score 7.8→7.5 (formula reweight: sb 0.25→0.15, are 0.20→0.25, md 0.20→0.25, dr 0.20→0.25, aam 0.15→0.10) |
| 2026-03-08 | 7.8 | Positive | Score 7.9→7.8 (dr 5→6, aam 8→9). External research cross-ref: Meta 49% stake triggered competitor flight; specialist RLHF + robotics data maturity |
| 2026-03-08 | 7.9 | Positive | Initial assessment from batch 8 research |
Software Peers
Last researched: 2026-04-02
This is research and analysis, not financial advice. Scores reflect AI impact potential, not investment recommendations.