Introducing Strider OS

For much of history, global commerce has operated under a set of stable and predictable assumptions that made both risk and relationships easier to navigate. Standard due diligence—a background check, quick database search, or conversation with a reference—was often enough to understand who you were hiring or who you were doing business with.

The relationships that mattered were visible. The risks that accompanied them were bounded. And the geopolitical environment, for all its turbulence, mostly stayed out of the way of routine commercial decisions.

Today, economic competition runs through a more contested global system—shaped by technological rivalry, supply chain realignment, and tightening constraints on the movement of capital, talent, and information. Organizations are being forced to confront questions they are not fully prepared to answer: Who actually controls the networks we depend on? Where are the exposures we haven’t examined closely enough? How do decisions that seem unrelated accumulate into systemic risk?

The challenge is a surplus of information with no clear way to make sense of it fast enough. The newly enhanced Strider Operating System (OS) was built to change that.

The Vision

“Data is oil. We do the discovery. We put the pipes in the ground. We built the refinery. And now the products go directly into the systems running the enterprise.”

That is how CEO and Co-Founder Greg Levesque describes Strider OS, the company’s new AI-native, agentic intelligence operating system built for this geopolitical era.It ingests billions of publicly available records across dozens of languages, resolves identities, maps relationships, and delivers finished intelligence into client workflows without ever touching client data. At its center is a digital twin of the industrial world, built down to the person level. Your employees, past and present. Your suppliers.  Your corporate relationships traceable through open sources. All in real time, mapped continuously, so organizational leaders can act with clarity and confidence.

Inside the System

Strider OS is not a product you log into. It is a centralized intelligence orchestration layer that sits across Strider’s data, models, and products, powering everything clients use and transforming how organizations access, interpret, and act on strategic intelligence. Clients interact with the intelligence it produces, not the system itself.

In practical terms, it takes raw global data across file types, formats, and dozens of languages and turns it into clean, structured, decision-ready intelligence. The guiding principle is cognitive deload: surface what matters and why it matters, enabling faster and more confident decision-making. Research tasks that previously took weeks of manual work can now be completed with high accuracy in a fraction of the time.

Every insight produced through Strider OS is grounded in validated, original source documentation. The system surfaces facts. It does not accuse, convict, or draw conclusions. Strider’s team of subject-matter experts manage every step of the data processing and analysis.

Three Agents, One Refinery

At the core of Strider OS is an agentic data refinery. Three specialized AI agents each handle a distinct stage of the intelligence production process.

Together, these agents maintain a dataset of over 25 billion objects spanning dozens of languages and countries. Inside that data, the same person can appear under different names, spellings, and affiliations across different sources. The refinery resolves those identities, maps relationships between individuals and organizations, and surfaces signals continuously, at a volume and speed no human team could replicate.

The Human Layer

Strider’s subject-matter experts on PRC, Russian, and Iranian statecraft work directly alongside engineers and data analysts at every stage of the intelligence pipeline. They identify which sources best answer nation-state risk questions. They manage the AI review process. They validate outputs before anything reaches a client.

The AI models Strider uses are internal tools that review source data at scale. One step in a longer process, overseen by analysts who know when something is right and when it falls short. No model is permitted to surface a finding untethered from original source documentation.

Nation-state actors deliberately obscure affiliations, shift tactics, and hide relationships. Catching that requires people who have spent their careers studying them. AI amplifies that capacity—making human judgement even more effective.

What’s New

Deep Research Reports

One of the major enhancements powered by Strider OS is Deep Research Reports: automated, analyst-level intelligence on entities tied to the PRC, Russia, Iran, and the DPRK, delivered in hours, not days. Previously, AI-generated research outputs were long, difficult to validate, and not shaped around the specific question a user needed answered.

Deep Research Reports work differently. Users define their research questions upfront, interact with the system, and provide context to shape the output. What comes back is a structured, narrative report built for executive decision-making, combining risk analysis, market context, and operational insight in one place. Evidence cards and source citations are built in throughout, so any finding can be traced directly back to where it came from.

Earlier Visibility into Geopolitical Risk

Historically, clients received a batch of analyst-built person profiles each month. Coming soon, Strider Insights—powered by Strider OS—will deliver every profile with risk that Strider has available, providing analyst-grade profiles at scale with decision-ready intelligence. These profiles will refresh monthly as new information is collected. With expanded coverage and automated analysis, organizations will gain deeper insight across more people of interest and will be able to actively engage with their full risk landscape.

The Next Frontier

For organizations that want Strider’s intelligence inside the tools they already use, Strider is building toward open integration standards like MCP (Model Context Protocol) that will allow AI models to connect directly to Strider’s strategic intelligence. The underlying data stays the same: validated, source-backed, and governed by the same methodology regardless of where the intelligence is accessed.

The launch of Strider OS establishes the foundation for a new generation of AI-native capabilities and applications, expanding Strider’s ability to support a broad range of economic security use cases across global industry, government, and academia. But the need for it will only grow. The volume of data organizations face shows no sign of slowing, and adversarial nation-states are growing more sophisticated by the day. Legacy systems and human analysis alone cannot close the widening gap between information and understanding. By fusing open-source intelligence with agentic AI to deliver a shared operating picture at the speed this moment demands, Strider OS is defining the next frontier of strategic intelligence.