Data as Infrastructure for the Agent-Native Economy
We build and own real-world data assets and make them usable for AI systems operating in the everyday world.
We build and own real-world data assets and make them usable for AI systems operating in the everyday world.
datastacks.co is a data holding company and operating platform.
Our mission is to build, acquire, and compound high-value data assets, then make them usable for intelligent systems at scale. We focus on data that is: real-world, longitudinal, permissioned, difficult to replicate. This is where AI value is created — and where most systems fail today.
We acquire and operate businesses that generate valuable data as a byproduct of real-world activity. We then standardize, govern, and connect that data into durable assets for AI systems.
We acquire companies with defensible data generation across healthcare, energy, and agriculture.
We transform raw data into governed, AI-ready datasets using agent-native systems and operational rigor.
We connect portfolio companies, data buyers, and partners to create compounding network effects.
We start where data is hardest — and most valuable.
Multi-specialty networks, rural systems, urgent care chains
RPM platforms, wearables, digital therapeutics
Coding, RCM, abstraction, analytics
Well logs, production data, equipment monitoring
Emissions tracking, compliance, reporting
Soil testing, yield analytics, field-level data
Input optimization, nutrient tracking
If you're building a data-generating business in these sectors, we'd like to hear from you.
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Value compounds when four things happen together:
Standardized, structured, and longitudinal data.
Agent-native systems that make data usable by humans and machines.
Scaled, reliable data generation with improving unit economics.
Cross-portfolio integration creates value no single company can achieve alone.
AI models are improving rapidly. Data is the constraint.
We are building the foundational data layer that agent systems depend on to operate safely and effectively in the real world.
Like financial markets needed Bloomberg, AI systems need real-world data infrastructure.
In the AI economy, data — not software — is the limiting factor.
Each new dataset increases the value of every existing one.
Once infrastructure exists, marginal costs approach zero.
Compliance and governance become durable advantages.
Owning critical data assets creates long-term strategic value.
We partner with companies and institutions building or relying on real-world data.
Accelerate growth with capital, infrastructure, and operational expertise.
Exposure to durable, compounding data assets.
Enterprise-grade datasets with APIs and agent-native access.
Collaborate on infrastructure, distribution, and ecosystem development.
We are building something meant to last decades.
If you're building, owning, or relying on real-world data, we'd like to talk.
We'll get back to you within 24 hours.