S

Scribble Data

🇮🇳IndiaSeedML Platform
35

Out of 100

N/A

Post-money

N/A

All rounds

35/100

2019

10-50 employees

March 2026

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

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A

Arun Iyengar

Founder & CEO

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StageSeed
Employees10-50
Country🇮🇳 India

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Seed · No public funding round data available yet.

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.