After losing the big OpenAI deal, Scale's expected annual revenue surpasses $1 billion, and its enterprise application business will overtake data annotation within 18 months.

robot
Abstract generation in progress

AIMPACT News, May 15 (UTC+8): Nearly a year after Meta invested $14 billion to acquire a 49% stake in Scale AI and took away its founder, Alexandr Wang, CEO Jason Droege has disclosed that the company expects this year’s revenue to exceed $1 billion. To break away from reliance on a single business, Scale’s core strategy is shifting from data labeling to developing internal AI applications for government and enterprise clients. The annualized revenue from this business has already reached $200 million, and Droege expects it to surpass data labeling within 18 months, becoming the company’s largest revenue source.

Although the M&A deal in June last year locked in a five-year contract from Meta worth at least $450 million per year, it also led to the direct loss of OpenAI, the most important customer it had when it first started. Due to concerns about Meta’s equity stake, competitors have revealed that Scale has recently been noticeably sidelined in the competition for data-labeling contract wins. Droege responded that accelerating the transition is not because customers are rejecting it, but because the overall growth rate of the data-labeling market is slowing down, while service demand from large enterprises for transitioning to AI has only just begun to open up.

Under the new strategy, Scale’s application business is making rapid progress. In the enterprise segment, it has signed with Ernst & Young and the Mayo Clinic, while in the government segment it has repeatedly secured major orders. Last week, the U.S. Department of Defense awarded it a $500 million Project Thunderforge contract to connect AI agents to military mission planning. Last month, Scale was also jointly selected with companies such as Palantir for the Golden Dome missile defense project, with a total budget of $1850 billion. Investor Coatue believes that having both large-model training experience and the ability to deliver for government and enterprise clients is Scale’s unique “edge” to maintain its high valuation and continue pushing for an IPO.

(Source: BlockBeats)

View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • 6
  • 2
  • Share
Comment
Add a comment
Add a comment
GateUser-08ae47f3
· 1h ago
The founder can still serve as CEO after being poached; Meta's agreement design is quite subtle, with both sides wanting it.
View OriginalReply0
NeonMint
· 1h ago
Annualized $200 million in app revenue—what, were they over the target for the business in just 18 months? Putting this kind of growth rate in AI infra, you’d call it conservative.
View OriginalReply0
NonceWhisperer
· 1h ago
This wave of transformation by Scale is quite interesting; shifting from annotation workers to an AI solutions provider completely changes the valuation logic.
View OriginalReply0
TheWindBeneathTheCyberBridge
· 1h ago
U.S. Department of Defense 500 million+ EY + Mayo—this client’s quality crushes a bunch of AI unicorns; government relations are the core competitive advantage
View OriginalReply0
K-LineSocialAnxiety
· 1h ago
OpenAI lost a major client, but Scale is now taking on government contracts that OpenAI also can't get, as they are in different sectors.
View OriginalReply0
GateUser-6da8ed4c
· 1h ago
The ceiling of data annotation is visibly limited; early transfer of Scale leads to early surpassing, late transfer turns it into Appen.
View OriginalReply0
  • Pinned