TL;DR:
• Datumo raises $15.5M Series B with Salesforce Ventures leading
• Revenue hit $6M in 2024 serving 300+ Korean enterprise clients including Samsung and LG
• Direct challenge to Scale AI's dominance in AI training data and evaluation space
• Expansion planned across South Korea, Japan, and Silicon Valley market entry
Seoul-based Datumo just landed $15.5 million to take on Scale AI in the exploding AI evaluation market, with backing from Salesforce Ventures and other major investors. The seven-year-old startup is positioning itself as the enterprise-friendly alternative for companies looking to safely deploy AI without technical expertise, riding a wave of demand as 40% of organizations cite AI explainability as a significant risk.
Datumo is making its move against Scale AI at exactly the right moment. The Seoul-based startup just closed a $15.5 million funding round led by Salesforce Ventures, bringing total funding to $28 million, as enterprises scramble to deploy AI safely amid growing regulatory pressure.
The timing couldn't be more strategic. Meta's recent $14.3 billion investment in Scale AI sent shockwaves through the industry, prompting OpenAI to immediately drop Scale as a data provider. That competitive fracture has opened doors for alternatives like Datumo to capture market share.
"They wanted us to score their AI model outputs or compare them to other outputs," co-founder Michael Hwang told TechCrunch. "That's when we realized: we were already doing AI model evaluation — without even knowing it." The pivot from pure data labeling to AI evaluation has paid off handsomely, with revenue reaching $6 million in 2024 across 300+ Korean enterprise clients.
Datumo's client roster reads like a who's who of Korean business: Samsung, Samsung SDS, LG Electronics, LG CNS, Hyundai, Naver, and telecom giant SK Telecom. CEO David Kim, a former AI researcher at Korea's Agency for Defence Development, built the company from a simple insight about data labeling inefficiency into a full-stack AI evaluation platform.
The market opportunity is massive. According to McKinsey research, 40% of organizations view AI explainability as a significant risk, yet only 17% are actively addressing it. Datumo's Datumo Eval platform targets exactly this gap, offering no-code evaluation tools for non-technical teams in policy, trust and safety, and compliance roles.
"We started in data annotation, then expanded into pretraining datasets and evaluation as the LLM ecosystem matured," Kim explained to TechCrunch. The platform automatically generates test data and evaluations to check for unsafe, biased, or incorrect AI responses without requiring manual scripting.
What sets Datumo apart from competitors like Galileo and Arize AI is its focus on licensed datasets, particularly data crawled from published books. This approach provides "rich structured human reasoning" that's notoriously difficult to clean but offers superior training value, according to Kim.
The Salesforce connection came through networking serendipity. Kim had hosted a fireside chat with DeepLearning.AI founder Andrew Ng in South Korea, then shared highlights on LinkedIn. That post caught Salesforce Ventures' attention, leading to eight months of meetings and due diligence before the investment closed.
With 150 employees in Seoul and a new Silicon Valley presence established in March, Datumo is positioning for global expansion. The fresh funding will accelerate R&D for automated evaluation tools and scale go-to-market operations across South Korea, Japan, and the US market.
The startup's trajectory from $1 million first-year revenue to today's $6 million run rate demonstrates the explosive demand for AI safety tools. As regulatory scrutiny intensifies and enterprises demand more explainable AI systems, Datumo's no-code approach to model evaluation could capture significant market share from technical-first competitors.
Datumo's $15.5 million raise positions the Korean startup to capitalize on the growing enterprise demand for AI safety and explainability tools. With Scale AI's dominance potentially vulnerable after the Meta deal fallout, and regulatory pressure mounting globally, Datumo's no-code evaluation platform could capture significant market share. The real test will be whether their Korean enterprise playbook translates to Silicon Valley's more technical buyer base as they expand globally.
