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Data Consumers Becoming Machines

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Data Consumers Are Becoming Machines. The pricing models must evolve.
Our portfolio company StreamOS recently sat down with the World of DaaS to discuss how data consumers are becoming machines, and human pricing won’t cut it.
The world of consuming and buying data is changing quickly. Not only are the buyers becoming machines and AI agents, but the expectations of pricing models are changing as well. Humans and machines need flexibility. They need to buy based on consumption, and pricing on the gigabyte, and in many cases the salespeople need the ability to be creative. StreamOS recently partnered with CarbonArc, a platform that lets you harness consumption data for deep human insight. The founder Kirk, who previously worked in the hedge fund industry, similar to Ajay from StreamOS, has been working in and around data his entire career. StreamOS & CarbonArc teamed up to not only make accessing data based on consumption pricing models easier, but they also see the world moving in this new direction. The hedge fund industry has always been a place for finding innovation. The explosion in alternative data and leveraging data for insights into trading started many years ago at hedge funds like WorldQuant, Two Sigma, Point 72 & Citadel. Now we are seeing two successful veterans of that industry breaking away as entrepreneurs to bring data and fintech innovation to this data-hungry world. CarbonArc gives you the ability to consume data based on consumption needs with deep layers of analytics and insights. StreamOS powers the backend of CarbonArcs finance stack acting as the connective tissue across their data vendor ecosystem.
This shift towards machine-driven data consumption necessitates a new approach to revenue recognition – one that StreamOS is uniquely positioned to provide.
Buyers whether it is humans or AI Agents or machines want to be able to access data when they need it instantly and they want to pay based on what they use. Ultimately this means data costs will go down, but I believe this will lead to an explosion in usage which ultimately will lead to more revenue for the data owners and vendors. Putting a value or price on data has always been an art, but I believe the future of consumption-based data pricing will allow for not only new customers but also a way for data vendors to scale their revenue dramatically.

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