Fasal vs Atlan

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

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

Atlan holds the higher Awaira Score at 68/100, compared to Fasal's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 13-point gap that reflects meaningful differences in scale or traction.

Fasal was founded by Ananda Verma in 2018. Atlan was founded by Prukalpa Sankar in 2018. Visit each company's profile on Awaira for a full founder biography.

Fasal: Fasal is a precision farming platform that deploys IoT sensors in agricultural fields to collect real-time micro-climate, soil moisture, and pest pressure data, which is then analyzed by AI models to deliver actionable crop management advisories directly to farmers' smartphones. The platform helps farmers make data-driven decisions about irrigation, fertilization, and pest management to improve yields and reduce input costs.\n\nThe company raised approximately $12M in Series A funding from investors including Omnivore, and has deployed its sensor networks and AI advisory platform across thousands of farms in India covering crops including grapes, tomatoes, pomegranate, and rice. Fasal's AI models are trained on crop science and agronomic data to translate sensor readings into specific, actionable recommendations.\n\nIndian agriculture faces significant productivity gaps relative to global benchmarks, with irrigation overuse, input inefficiency, and pest losses representing measurable economic costs at the national scale. Fasal's data-driven precision agriculture approach addresses these inefficiencies in a market where increasing farm profitability and resource efficiency are national policy priorities. 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 Fasal 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.

Fasal has approximately 50-200 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, Fasal 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.