Synthesized vs Atlan

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Synthesized employs 1-50 people, while Atlan has 200-500 employees.

Atlan has raised more in total funding at $78M, compared to Synthesized's $12M — a gap of $66M.

Atlan holds the higher Awaira Score at 68/100, compared to Synthesized's 43/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 25-point gap that reflects meaningful differences in scale or traction.

Synthesized was founded by Nicolai Baldin in 2018. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.

Synthesized: Synthesized builds synthetic data generation software for financial services and enterprise organisations that need to share, test, or analyse sensitive data without exposing real customer information. The London company platform generates statistically representative synthetic datasets that preserve the analytical properties of production data while eliminating personally identifiable information, enabling data science, software testing, and regulatory compliance workflows to proceed without privacy risk.\n\nThe company raised approximately $12 million in a Series A round with investors including Lakestar and Playfair Capital. Synthesized counts financial institutions and data-intensive enterprises among its clients, deploying synthetic data capabilities for use cases including fraud model training, application testing with production-like data, and safe cross-border data sharing under GDPR and similar privacy regulations. The platform supports both tabular structured data synthesis and time-series data relevant to financial transaction modelling.\n\nSynthesized operates in the synthetic data market alongside Mostly AI, Gretel, and Tonic.ai, competing for data science teams seeking privacy-preserving alternatives to data anonymisation. The synthetic data market has expanded significantly as GDPR enforcement and financial regulatory requirements around data privacy have increased the cost and complexity of working with real customer data in development and analytics environments. The company financial services focus aligns with one of the highest-value segments for synthetic data adoption, where the sensitivity of transaction and identity data makes synthetic alternatives particularly valuable. 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 Synthesized 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.

Synthesized has approximately 1-50 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, Synthesized 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.