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The Journey Behind the Knowledge Grid Our Founder Story
After more than 15 years building one of the leading MSSP and MDR companies in the industry, we ran into the same wall — repeatedly.
Every time we tried to apply machine learning and AI to threat detection, the data fought back. Raw security telemetry — logs, events, sensor streams — required massive transformation before it was usable for AI. We evaluated every tool and third-party solution we could find. The answer was always the same: too complex, too manual, too expensive, and ultimately too broken to rely on in production.
We weren't failing at AI. We were failing at transforming the data infrastructure underneath it.
After our successful exit from the MDR company, we did something deliberate: we reassembled our original data science team and went back to the problem directly. No shortcuts, no wrappers on existing platforms. Built on 15+ years of R&D, we developed a fundamentally new data architecture — the Temporal Data Grid, a patented engine that transforms high-velocity security telemetry into an AI-ready state at the moment of ingest. Its output is contextually enriched through our Cognitive Workbench and optimized specifically for AI reasoning, anomaly detection, and SOC automation.
The result is the Cognitive Data Layer — a new category of AI infrastructure that solves the problem legacy data stacks were never designed to address.
Most organizations today are moving fast to embrace AI in their security operations. But the vast majority are still running on data infrastructure built for storage, search, and human review — not for LLM reasoning, agentic AI workflows, or AI-led threat detection at scale. Their telemetry has been organized — normalized, indexed, made searchable — but never transformed into a form a machine can reason over. Feeding that data straight into an AI model doesn't work: AI was never built to natively make sense of it, and the results show.
That is why we founded Knowledge Grid: to deliver the Cognitive Data Layer — the AI-native data foundation that makes cybersecurity AI actually work.
Our mission: To help security organizations transform raw telemetry into a modern data foundation — optimized at ingest for AI reasoning, anomaly detection, and SOC automation — with superior context, performance, and cost.
World-Class Research Team
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.
- 7 Ph.D. & 5 Masters Degrees across data science & mathematics
- 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 cybersecurity 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 knowledge-driven 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.
We Judge, we don't just Alert
Every anomaly is scored and explained in plain English, so your team sees a named incident, not raw statistics.
Ground Truth that's Derived, not Declared
An autonomous agent models your environment from your own telemetry and keeps it fresh.
Sharper with Every Decision
Your analysts' verdicts write back into the platform's memory, so the same anomaly isn't re-investigated from scratch.
Find the unknown, No rules Required
Unsupervised detection surfaces novel behavior with no signatures or training data.
Built on Patented Data Mathematics
Our core using Rough Set mathematics Theory queries hundreds of terabytes without scanning the raw data.
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