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The Distributed Data Operating System

For Business Operators: Connect & automate processes on top of any data, crazy fast. For Engineering Teams: Connect any data, across any stack, in any format, crazy fast.
Platypus
Founded:2019
Team Size:3
Location:San Francisco

Former Founders

Pablo Ferrari

Eclectic Engineer. Former management consultant at Bain & Company and AI consultant for the big firms. Co-founded the first credit scoring platform in Spain, Ibercheck, and the Spanish Shopify Tiendalista. YC W21 with multiple pivots, among them Processlabs.ai for dev teams, and Platypus the first data engineer AI agent.
Pablo Ferrari
Pablo Ferrari
Platypus

Deepanshu Madan

Full-stack software engineer, Business, and Product lead. I have led Engineering, Product, and Business teams as a Product Manager on the Android developer's tools team, and on the AdMob team at Google. Prior to that, I have worked as a Senior Software Engineer at OpenTable & Expedia in the Silicon Valley.
Deepanshu Madan
Deepanshu Madan
Platypus

Company Launches

Platypus - The Distributed Data Operating System

Platypus is a toolkit to help data engineers and technical founders manage their distributed and real-time data 10x faster. We help you organize and connect any data, across any stack, in any format. Fast.

We are Looking for Feedback and Early Users

We are offering Customized Support for our Early Access Program to founders and data engineering teams dealing with real-time and distributed data challenges - contact us at https://getplatypus.com or send me an email.

The Problem

Managing distributed data is tough and costly in an ever-evolving landscape where the concept of a "modern" data stack is rapidly aging, requiring expert teams, multiple tools, and expensive resources. On top of that, the Business teams struggle to access and use this data effectively.

The Solution

A customizable, real-time data platform that boosts data engineering productivity. We simplify data with automation for data discovery, data management, and data pipeline creation while keeping data engineers in full control of their data architecture. We also allow business teams to self-serve the data and data activation they need.

Any Data, Any Stack, Any Client.

Our Team

We are data engineers with experience at big tech companies like Amazon and Intel. We’re eager to tackle your data challenges, from simple database replications to complex AI-driven data strategies.

We know our craft, we love it, and we want to help with your specific data challenges.
https://getplatypus.com - pablo@getplatypus.com