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Knowledge Grid Company background - Why we built the Cognitive Data Platform

Our story

Why We Built the Missing Data Layer

After more than 15 years building a leading MSSP/MDR company, we struggled with a significant and persistent problem: our log data required major transformation for us to perform threat detection using Machine Learning and AI.

 

We evaluated countless tools and third-party data management platforms, but the reality was always the same—too much complexity, too much manual effort, and too much cost, with no practical solutions that actually worked.

 

Following our successful exit from our MDR company, we reassembled the original data science team to take on this challenge directly. Built on top of 15+ years of R&D, we discovered a new data paradigm to create a new parallel data structure, contextually enriched via a Data Science workbench.

 

Organizations today are moving quickly to embrace AI, however the vast majority are  still relying on legacy data stacks designed for storage, search, and human review—not for AI-led threat analysis, SOC Automation, and LLM reasoning at scale.

 

That is why we founded Knowledge Grid: to provide the missing data layer for AI, The Cognitive Data Layer.

Our mission is to help organizations transform their raw data into a modern data foundation that is optimized at ingest for use in cyber security products, anomaly detection and AI reasoning with superior data context, performance and cost.

World-Class Research Team

AQ Technologies - Research & Development based in Warsaw Poland

Based in Warsaw, Poland, AQ Technology—our dedicated research and development subsidiary—is powered by a world-class team of data scientists, mathematicians, and advanced researchers.

 

Their expertise spans rough set theory, data grids, data mining, approximate query systems, distance-based indexing, and machine learning/AI. This deep scientific foundation enables us to push beyond conventional approaches and build differentiated technologies designed to solve some of the most complex data challenges in the era of AI.

World Class Data Scientists & Cyber Security Researchers
  • 7 Ph.D. & 5 Masters Degrees – Data Science & Mathematicians
  • Over 250 Papers Published/Presented
  • 7 Patents Issued & 2 Under Development
  • Multiple Government Research Grants Awarded​

The Architects of Knowledge Grid

Meet the architects behind Knowledge Grid—the leaders, builders, and researchers turning advanced data science into real-world innovation.

Peter Bybee

Founder & Chief Executive Officer

Peter Bybee is a technology entrepreneur and business leader with deep experience in cybersecurity, managed services, data-driven platforms, and company growth strategy. Over the course of his career, he has helped build and lead advanced security and technology businesses, with a focus on solving complex operational and data challenges in real-world environments.

 

Peter’s background spans executive leadership, commercialization, platform strategy, and the development of innovative solutions for modern cybersecurity and data-intensive use cases.

Joel Holland

Chief Technology Officer

Joel Holland is the Chief Technology Officer of Knowledge Grid, where he leads the company’s technology strategy, platform architecture, and product innovation. He is a seasoned technology executive with deep experience in cybersecurity, product development, operations, and security platform engineering.

 

Over the course of his career, Joel has helped lead and scale complex security and technology organizations, with leadership roles spanning CTO, VP of Operations, and CISO functions. His background includes building and enhancing security solutions, guiding product development, and aligning technical execution with real-world operational demands.

Arek Wojna

Director of Data Science

Arkadiusz “Arek” Wojna is a senior research leader and data scientist with deep expertise in machine learning, rough set theory, data mining, and intelligent systems. Based in Warsaw, Poland, he has spent his career advancing methods for solving complex data problems through a blend of mathematical rigor, applied research, and practical system development.

 

His work has been focused on the development of intelligent systems for complex problem-solving.  His past publications include contributions in areas such as classifier construction, rough set methods, and machine learning libraries.

 

Company Mission & Vision

Knowledge Grid provides a purpose-built “AI infrastructure stack" that prepares data for use in cyber security platforms and products that use log or telemetry data, making it far easier to continuously analyze data to detect threats, surface unknown attackers, and become instantly usable for AI agents and LLMs.

Strategic Mission 2026+

Our mission is to help organizations transform their raw data into a modern data foundation that is optimized at ingest for use in cyber security products, anomaly detection and AI reasoning with superior data context, performance and cost.

Global Vision 2026+

Our vision is to build the cognitive data foundation for the age of Agentic AI, to enable clients to transform raw telemetry into high-signal knowledge structures that power intelligent analytics and autonomous AI operations.

Why Knowledge Grid? - Why We are Different

Knowledge Grid is the AI-ready data layer that fixes the telemetry problem for SOCs and AI agents. We transform messy data into high-signal knowledge for a secure, autonomous future.

Purpose-Built Knowledge Layer

Specifically engineered for security, our knowledge layer organizes raw telemetry into contextual structures that AI can actually understand and act upon.

Unsupervised Anomaly Detection

Leverage unsupervised learning on structured knowledge to identify novel threats and outliers without the limitations of manual rules or labeled datasets.

Faster Triage & Fewer False Positives

Drastically reduce alert fatigue for the SOC by enriching alerts with immediate context, enabling sub-second triage and more accurate detection.

Agentic AI Readiness

Future-proof your security stack for 2026 with a data foundation optimized for LLM reasoning and autonomous agent orchestration.

Multi-Source Telemetry Mastery

Unify messy, high-volume telemetry from disparate sources into a consistent grid of knowledge without losing critical detail.

Ready to Find out More?

Connect with our architects to discuss your challenge or project.

Company Headquarters:  Salt Lake City , Utah, USA

Company R&D Center:  Warsaw, Poland

Salt Lake City Utah
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