Fleak is revolutionizing enterprise data infrastructure in the AI era by delivering universal data interpretation, breaking down silos, and ensuring real-time, high-quality data for analytics, compliance, and security.
Its AI-native, low-code, self-healing platform automates data transformation, governance, and schema adaptation, reducing operational overhead and enabling seamless integration with existing enterprise systems.
Cisco Investments has invested in Fleak to accelerate its mission of making enterprise machine data immediately understandable, consistent, and AI-ready across industries.
In the AI era, data is the fuel that drives every model, decision, and outcome.
But for many enterprises, it’s trapped in incompatible formats, scattered systems, and silos that starve AI and security platforms of the quality they need to operate at full power.
“Data quality is not a downstream problem,” says Yichen Jin, co-founder and CEO of Fleak. “Recognizing data as foundational IT and business infrastructure is a critical enterprise milestone, especially in the era of AI. Right now, most organizations are building out their AI and security initiatives backwards, assuming clean data will somehow materialize or that the data problem will be fixed later. Companies that engage in ‘fix the data later’ thinking are doomed to fail.”
This insight is at the heart of Fleak’s mission, and one of the reasons we’re excited to welcome this innovative platform to the Cisco Investments portfolio. Fleak is tackling what they call the first-mile data intelligence problem: ensuring that machine data is understandable, universally consistent, and AI-ready in real-time.
Fleak’s early deployments also revealed something else.
“Enterprises do not just want data transformation,” Jin claims. “They want data problems to disappear entirely. Customers care far more about eliminating operational overhead than maintaining costly data transformation capabilities that are used to clean up dirty data after the fact.”
That philosophy drives Fleak’s approach: building invisible AI-native infrastructure that eliminates ongoing data problems, works seamlessly with existing systems, and removes the operational overhead of managing transformations, so enterprises can focus on business-critical insight generation instead of integration headaches.
Introducing Universal Data Interpretation
“We’re not competing in the traditional data processing space. We are at the frontier of a new category: universal data interpretation infrastructure,” Jin explains. “The market is full of tools that can move data efficiently, but they assume someone else has solved the interpretation problem.”
Unlike traditional platforms that lock you into proprietary workflows, Fleak adapts to your existing infrastructure and expertise. With flexible schema support, whether industry standards like OCSF for security or OPC-UA for manufacturing, or custom, domain-specific formats, Fleak enables rapid transformation without forcing teams to rewrite their pipelines.
Their AI-native, low-code, serverless platform combines ingestion, transformation, normalization, enrichment, deployment, observability, and governance into a unified data language communication layer. This keeps the context of operational data intact, as it moves between systems, helping enterprises improve AI, security, and analytics outcomes, without having to replace the tools they already use.
Self-Healing Architecture
In a dynamic enterprise environment, schema drift can break AI models, blindside security telemetry, and create daunting compliance gaps. Fleak’s intelligent self-healing architecture dynamically detects changes in source formats, adapts processing logic automatically, and maintains operational visibility and audit trails with minimal manual intervention.
For compliance-focused teams, this means regulatory monitoring never goes dark when APIs or device formats change. With Fleak, governance is a core design principle. Data is encrypted, anonymized where needed, and processed with full auditability to meet enterprise-grade standards.
These capabilities are critical for Extended Detection and Response (XDR) platforms, which rely on consistent, normalized data from diverse domains. Fleak enables security tools to ingest the full spectrum of enterprise data, including network packets, operational technology telemetry, cloud service logs, and business application data, in standardized, query-able formats that improve threat detection and reduce false outcomes in real-time.
Strengthening XDR Starts with Stronger Data
Capabilities like adaptive data interpretation, governance‑first workflows, and flexible schema support show how the data layer can significantly enhance security visibility in a multi‑domain, AI‑driven world. When machine data arrives in consistent, mutually-intelligible, enriched formats, without delays or gaps caused by incompatibility or schema drift, security platforms can focus their full power on analyzing threats and orchestrating timely responses.
This principle is central to Cisco’s strategy for expanding XDR, which aims to deliver broader threat detection, faster incident response, and deeper visibility across enterprise environments. Achieving these outcomes depends on access to high‑quality, normalized data from diverse domains, endpoints, networks, cloud workloads, operational technology, and more, that is immediately usable for correlation and analysis.
Looking Ahead
For Fleak, the opportunity ahead lies in deepening its role as the “universal translator” for enterprise machine data across AI, security, and industrial contexts. They plan to continue expanding out-of-the-box support for industry-specific standards, expand downstream data management features leveraging AI agents, and strengthen integration paths so customers can feed consistent, auditable data into their existing platforms with less friction.
As AI, cybersecurity, and data engineering continue to converge, Fleak’s vision is clear:
Every piece of operational data should be understandable, consistent, and ready for immediate use from the moment it’s created. By staying focused on that first‑mile data intelligence principle, Fleak is positioned to help enterprises shift from reactive data wrangling to proactive intelligence, unlocking faster insights, stronger security, and greater operational efficiency.