Datumo is a Seoul-based company specializing in providing AI-enabled solutions for the evaluation, deployment, and operation of artificial intelligence models. Founded in 2018 by David Kim and several KAIST alumni, Datumo aims to enhance AI safety and utility across various domains by offering comprehensive AI model evaluation tools. The company has raised significant capital to augment its operations, notably a $15.5 million Series B funding round led by Salesforce Ventures and other investors.
Attribute | Information |
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Founding Date | 2018 |
Headquarters | Seoul, South Korea |
Founders | David Kim and KAIST alumni |
Revenue | Approximately $6 million (2024) |
Key Investors | Salesforce Ventures, ACVC Partners, SBI Investment |
Industry | AI and Data Technology |
Number of Employees | 150 |
Datumo began as an AI data labeling company under the name SelectStar, co-founded by David Kim, a former AI researcher at Korea’s Agency for Defense Development. The company initially focused on leveraging crowdsourced efforts to label AI data. Over time, customer demand indicated a need for enhanced AI model evaluation capabilities, prompting Datumo to pivot towards building tools for the robust evaluation of AI models.
Datumo provides tools and datasets designed to enhance the safety, efficiency, and reliability of AI models. Their platform, Datumo Eval, enables automated test case generation to check AI models for safety and bias issues. The company targets industries that require high AI model dependability, such as finance and healthcare.
Datumo continues to innovate in AI safety evaluation. The company serves a global clientele, focusing on AI model security and regulatory compliance, which are increasingly critical in AI deployment across industries. With its strategic expansion into the U.S. and Japan, Datumo aims to capture a larger share of the AI market by providing essential tools for AI model risk mitigation.
Datumo represents a significant player in the AI industry, known for its focus on the reliability and safety of AI models. The company's evolution from data labeling to AI evaluation demonstrates its adaptability and foresight in anticipating market needs. Datumo's recent funding round and expansion efforts position it strongly for future growth, underlining its potential to shape standards for AI model safety and evaluation across various sectors.