S
Awaira Score
35
Out of 100
Valuation
N/A
Post-money
Total Raised
N/A
All rounds
Awaira Score
35/100
Founded
2019
10-50 employees
What They Build
March 2026Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems. The platform reduces the time data teams spend on data wrangling and feature engineering…
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StageSeed
Employees10-50
Country🇮🇳 India
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Funding Rounds
Seed · No public funding round data available yet.
Founded Same Year (2019)
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View all alternatives to Scribble Data →Frequently Asked Questions
What is Scribble Data's valuation?▾
Scribble Data's valuation is not publicly disclosed.
Who invested in Scribble Data?▾
Investor information for Scribble Data is not publicly available at this time.
When did Scribble Data last raise funding?▾
No public funding round data is currently available for Scribble Data.
How many employees does Scribble Data have?▾
Scribble Data has approximately 10-50 employees.
What does Scribble Data do?▾
Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems. The platform reduces the time data teams spend on data wrangling and feature engineering by providing reusable feature definitions and automated pipeline orchestration.\n\nThe company is in early Seed stage with limited disclosed funding and targets data science teams at financial services companies, digital consumer businesses, and enterprise analytics organizations that run large-scale ML operations. Scribble Data positions its platform as infrastructure that shortens the path from model ideation to production deployment.\n\nFeature stores have emerged as a recognized production ML infrastructure category, with vendors including Tecton, Feast, and Hopsworks competing for enterprise adoption. Scribble Data's India-based team and pricing model target a segment of the market that cannot justify the cost of US-headquartered enterprise ML platform vendors, while still requiring production-grade feature management capabilities.