Superb AI vs Atlan

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Superb AI employs 100-500 people, while Atlan has 200-500 employees.

Atlan has raised more in total funding at $78M, compared to Superb AI's $70M — a gap of $8M.

Atlan holds the higher Awaira Score at 68/100, compared to Superb AI's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 8-point gap that reflects meaningful differences in scale or traction.

Superb AI was founded by Hyun Kim in 2018. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.

Superb AI: Superb AI provides an AI data labelling and dataset management platform that combines annotation tools with AI-assisted labelling automation, quality assurance workflows, and dataset analytics for computer vision AI development teams. The Seoul and San Francisco company Suite product covers image, video, and 3D point cloud annotation across bounding box, segmentation, keypoint, and polygon annotation types, targeting autonomous vehicle, robotics, and AI product companies that require high-quality labelled datasets at scale.\n\nThe company raised approximately $70 million in a Series C round from investors including SoftBank Ventures Asia, Kakao Ventures, and Madrona Venture Group. Superb AI has expanded its platform beyond annotation tooling to include dataset management, model evaluation, and AI-assisted label suggestion that reduces the manual effort required per annotation through model-assisted pre-labelling followed by human review.\n\nSuperb AI competes in the AI data platform market against Scale AI, Labelbox, Encord, and V7, as well as annotation services providers that offer managed labelling workforce services. Its Korean origin has provided access to the automotive and manufacturing AI market in Korea, where companies including Hyundai, Kia, and LG Electronics are significant purchasers of AI training data and annotation services. The company dual San Francisco and Seoul presence reflects its strategy of serving both Korean enterprise clients and the global AI development market from a single platform. Atlan: Atlan is an active metadata platform and data workspace that enables data teams to discover, understand, and govern data assets across cloud warehouses, lakes, BI tools, and pipelines through an AI-powered catalog interface. The platform automatically crawls data infrastructure to build lineage graphs, enables natural language search over data assets, and enforces data governance policies through automated tagging and access controls.\n\nThe company raised approximately $78M in Series C funding from investors including Insight Partners and Sequoia India, and has built a global customer base of data-forward technology companies and enterprises. Atlan has emerged as a recognized leader in the data catalog market, competing with Alation, Collibra, and DataHub in the modern data stack ecosystem.\n\nAs cloud data infrastructure has proliferated, data discoverability and governance have become critical operational problems for engineering teams managing hundreds of data sources. Atlan's modern metadata-first approach and deep integrations with the contemporary data stack — Snowflake, dbt, Fivetran, Looker — position it well in a market where legacy catalog vendors have struggled to keep pace with infrastructure evolution.

Both Superb AI and Atlan were founded in the same year — 2018. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Superb AI has approximately 100-500 employees, while Atlan has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Superb AI and Atlan are direct competitors — both operate in the AI Data space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.