F
Awaira Score
55
Out of 100
Valuation
N/A
Post-money
Total Raised
$12M
All rounds
Awaira Score
55/100
Founded
2018
50-200 employees
What They Build
March 2026Fasal 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 yi…
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StageSeries A
Employees50-200
Country🇮🇳 India
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Funding Rounds
Series A · No public funding round data available yet.
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View all alternatives to Fasal →Frequently Asked Questions
What is Fasal's valuation?▾
Fasal's valuation is not publicly disclosed.
Who invested in Fasal?▾
Investor information for Fasal is not publicly available at this time.
When did Fasal last raise funding?▾
No public funding round data is currently available for Fasal.
How many employees does Fasal have?▾
Fasal has approximately 50-200 employees.
What does Fasal do?▾
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.