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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 is presented as a distributed data operating system. The provided text actually comes from a domain marketplace page advert for GetPlatypus.com, including pricing for the domain and related services rather than a product description from Platypus itself.
No technical product or feature details about Platypus the distributed data operating system are provided in the text. The content focuses on domain sales, payment plans, and escrow services rather than a concrete product description.
Eclectic Engineer. Currently director of engineering and staff engineer at Together,ai 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.
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.
Data toolkit to manage distributed and real-time data 10x faster.
Platypus offers a customizable, real-time data platform to manage distributed data across any stack or format for data engineers and technical founders. It claims to boost productivity by automating data discovery, management, and pipeline creation while enabling business teams to self-serve data and data activation.
From the original launch (Apr 2024) — may be outdated.
Formerly “ProcessLabs” · why startups rename →
Plaid for Brazil: we allow developers to access users' financial data
