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Scale AI

Data-labeling and AI infrastructure platform powering training pipelines for OpenAI, Meta, Microsoft, and the US DoD.

AIUnited States·Founded 2016·ISO/NSO equity·scale.com
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Source review Jun 2026 — source URL pending
Reference estimate — source pending
4 methods · Source review Jun 2026 — source URL pendingMedium confidence (47%)

Primary round source URL not yet verified. This estimate is based on reported round data pending direct source confirmation.

$33.1B
range $23.2B – $42.9B
Implied per-share: $131.7 · vs last primary +14%

No verified public secondary-market signal available for Scale AI. The estimate relies on last confirmed financing, peer multiples, sector momentum, and time decay.

Valuation basis:Last primary roundSource review Jun 2026 — source URL pending
Last primary round
$29B
Strategic (Meta) · 13mo ago
Secondary signal
~$12.0B
Reported (unverified)

No verified public secondary signal is available. Hiive/Forge links are monitoring links only, not evidence of a current executable price.

Headcount
1,000
employees · LinkedIn+25%

LinkedIn count — directional proxy only. Historical figure sourced via Wayback Machine; treat ±15% as normal variance.

Revenue (est.)
$1.0B
annual run rate · est.

Meta acquired a 49% stake at $29B implied post-money (Jun 2025). Press reports from late 2025 suggest secondary market discount to ~$12–14B following client departures; see Reported Signals for detail.

Complete company data

Every input we use, where we got it from, and how much we trust it.

Source review: key primary-round source URL still pending. Figures are retained as historical reference and marked low-confidence where applicable.

FieldValueConfidence
Company fundamentals
SectorAIhigh
HeadquartersUnited Stateshigh
Founded2016high
Websitescale.comhigh
Last primary round
Post-money valuation$29Bmedium
Round nameStrategic (Meta)high
Date2025-06-13 (13 months ago)high
Lead investorMetahigh
Amount raised$14.3Bmedium
Capitalization
Total fully-diluted shares250.909Mlow
Implied share price (4-method estimate)$132medium
Primary equity type grantedISO/NSOhigh
Financials
Annual revenue (est.)$1,000Mmedium
EV / Revenue (implied)29.0xmedium
Headcount
Employees (now)1,000medium
Employees (12 months ago)800medium
12-month headcount growth+25%medium
Methodology inputs
Sector ETF proxyBOTZmedium
ETF annual return (trailing 3-yr)22%medium

Funding history

Primary rounds reported in Bloomberg, WSJ, TechCrunch, Reuters, or SEC Form D filings (efts.sec.gov). Linked per round below.

Valuation progression (equity rounds)
Valuation progression · equity rounds
$29.0Blatest · Strategic (Meta)
Total growth
725×
Our estimate
$33.1B
$0.0B$9.8B$19.5B$29.3B$39.0BSeries ASeries BSeries CSeries DSeries E$13.8BSeries FlatestStrategic (Me…est.Est.
Primary round
Down round
Our estimate
Strategic (Meta)+110%2025-06-13
$29.0B
Led by Meta · raised $14.3B
Source: TechCrunch Jun 2025(source URL pending)
Series F+89%2024-05-21
$13.8B
Led by Accel · raised $1.0B
Source: TechCrunch May 2024(historical ref.)
Series E+630%2021-04-13
$7.3B
Led by Tiger Global · raised $325M
Source: WSJ Apr 2021(historical ref.)
Series D+186%2020-08-05
$1.0B
Led by Tiger Global · raised $155M
Source: TechCrunch Aug 2020(historical ref.)
Series C+250%2019-08-05
$0.4B
Led by Founders Fund · raised $100M
Source: TechCrunch Aug 2019(historical ref.)
Series B+150%2018-08-07
$0.1B
Led by Accel · raised $18M
Source: TechCrunch Aug 2018(historical ref.)
Series A2017-07-01
$0.0B
Led by Accel · raised $7M
Source: TechCrunch(historical ref.)

Secondary market signals

Secondary market signals: bid/ask/trade indications from Hiive (hiive.com), Forge Global, Caplight Index, and tender prices reported in the press.

No active listings found

We monitor Hiive, Forge Global, and EquityZen for Scale AI listings. As of July 2026, no verified secondary market activity has been recorded.

Secondary listings for private companies appear without announcement and typically close within days. When a listing appears, it often signals an upcoming tender offer or funding round.

Primary round history as valuation signal

In the absence of secondary market data, the funding history below is the primary valuation anchor. Method C (time-decay) uses this data to estimate current value.

Strategic (Meta) · 2025-06$29B
Series F · 2024-05$13.8B
Series E · 2021-04$7.3B

Get notified when a listing appears

Pro subscribers get notified within 2 hours when a secondary listing for Scale AI is detected. Most employees first hear about tender offers days after the market already knows.

Get listing alerts →

Check directly: Hiive ↗ · Forge Global ↗ · SEC Form D ↗

Reported secondary signals (unverified)
Reported secondary / discount signal — $12B–$14B · 2025-10 · Bloomberg / press reports (unverified) (reported, low confidence — not verified, not used in Method B) · Reported secondary discount reflecting client departures (Google, OpenAI, xAI) after the Meta investment announcement. No citable trade record with sourceUrl — treated as press estimate.

Public peer comparables

Public peer comparables: editorial selection of public companies with the closest business model. EV/Revenue and growth from public 10-Q filings and Bloomberg, refreshed quarterly.

TickerCompanyEV / Revenue
CRWDCrowdStrike Holdings, Inc.38.2x
MDBMongoDB, Inc.11.11x
NETCloudflare, Inc.41.67x
NVDANVIDIA Corporation19.5x
PLTRPalantir Technologies Inc.60.67x

Confidence breakdown

How much we trust each of the four valuation methods for this specific company, and why.

Method A — Peer-multiple
weight 25%→ $30.5B75% confidence
Growth-weighted peer EV/Revenue: 37.2x → 18% private-company discount → 30.5x on $1000M revenue
Method B — Secondary-implied
weight 45%suppressed25% confidence
↳ Effectively excluded from the blend — this method is structurally unreliable for this company.
No verified secondary market data available — estimate relies on primary round, peer multiples, and sector momentum.
Method C — Primary time-decay
weight 20%→ $48.5B64% confidence
$29B round (2025-06-13) × 1.77× growth × 0.95× multiple decay over 1.1 years
Method D — Sector momentum
weight 10%→ $35.9B44% confidence
$29B × (1 + 22% p.j.)^1.1yr = $35.9B via BOTZ ETF-proxy
Overall confidence
47%
Weighted average of the four methods. Above 60% is high, 35–60% medium, below 35% low.
Medium

Worked example for an employee

Illustrative mechanics only — this shows how the equity model works, not a reliable value estimate.

Illustrative mechanics only

This example shows equity mechanics only. It is not a reliable estimate of current value because the primary round source URL is not yet verified — treat all figures as illustrative until source confirmation.

Show illustrative values (not a reliable estimate) ▸
Profile: a hypothetical employee who joined Scale AI 24 months ago (2024-07-10) with 2,000 options, on the standard 4-year vesting schedule with a 1-year cliff.
Vesting
1,000 of 2,000
50% vested at month 24
Implied share price (mid)
$132
weighted average of 4 methods — low confidence
Gross vested value
$131,732
vested shares × implied price
Net value
$131,732
no strike, gross = net
Tax (rough)
$24,658
US federal only · AMT risk: medium
What if the next round is…
Up round +30%
$148,915
New round at +30% valuation, 15% new shares issued
Down round −30%
$76,844
New round at −30% valuation, 20% new shares (higher dilution in distress)
Secondary today
$111,972
Sale on the secondary market at the typical 15% discount to the mid estimate
These illustrative values use the same engine as the live calculator. Source confirmation is pending — values are not reliable current estimates for Scale AI. Try the calculator →

Transparent assumptions

What we assumed where exact data isn't available. If any of these don't match your situation, the numbers above will be off.

Fully-diluted share count
250.909091M shares
We don't have authoritative cap-table access for private companies. The number above is reconstructed from SEC Form D filings, secondary-market price-vs-valuation math, and leaked share-class summaries. Actual fully-diluted count (including unvested option pool and SAFEs) may differ by 5–15%.
Common-stock waterfall
1.0× to common
We assume a clean common-stock outcome — i.e. preferred-share liquidation preferences and ratchets do not extract value before common. In a down-exit, this assumption can be very wrong: preferred stack can take 30–70% of proceeds.
Private-company illiquidity discount
18% off public peers
Applied to Method A (peer-multiple). Per-company because category leaders with deep secondary markets and a clear IPO path warrant a smaller discount than early-stage names. The literature range is 10–35%; for Scale AI we use 18% based on secondary-market depth, valuation history, and proximity to liquidity.
Revenue growth assumption (Method C)
70% YoY
Compounded forward from the last primary date to today to estimate the company's value drift. Set per-company based on disclosed or reported ARR trajectory. Method C is further capped at 1.3× the most recent secondary trade (if any) to stop runaway extrapolation when revenue growth outpaces what the market is actually paying.
Sector ETF momentum (Method D)
BOTZ @ 22%/year
Method D applies the trailing return of BOTZ as a market-proxy adjustment to the primary valuation. Crude — meant as a tiebreaker when peer and secondary data conflict, not as a primary signal.
Outlier auto-downweight
Methods >50% from median get ½ weight
Robust-statistics safety net: any method whose output strays more than 50% from the median of the other three methods has its confidence weight halved when computing the blended mid-point. Prevents a single bad extrapolation from dragging the headline.
Recency decay for secondary trades
180-day half-life (e⁻ᵈ/¹⁸⁰)
A trade from 30 days ago counts ~5× more than one from 180 days ago. Tunable; some platforms use shorter half-lives.
Tax estimate
US federal only, single filer
Uses 2024 US federal brackets, ignoring state tax, NIIT, AMT credit recovery, and any other deductions. Treat as a directional sanity check, not a tax bill.
All data from public sources. Not investment, tax, or legal advice. Not affiliated with Scale AI. Last refreshed manually — see methodology for our update cadence.