See how it works
We prefer clarity over complexity. By mapping the network structure of your data, we make AI behavior visible. When you see the connections, you understand the output.
Map your website's hidden architecture. See what search engines and AI assistants really see. Every structure revealed. Every blind spot exposed. Every AI citation governed.
AI doesn't have to be a mystery. At Axiom Graph, we prefer interpretability over complexity and always look for the simplest solution that works. We build systems where every output can be traced, every decision can be audited, and humans stay in control.
We prefer clarity over complexity. By mapping the network structure of your data, we make AI behavior visible. When you see the connections, you understand the output.
The best decisions combine machine efficiency with human judgment. AI extends your team's capabilities without replacing them. Your experts make the calls.
We rely on Network Science and mathematically proven foundations rather than the latest generative hype. Structure is predictable; hallucination is not.
Partnership means more than delivering a solution. We transfer knowledge, train your team, and build systems your people can maintain. We start hands-on, then enable you to run without us.
We measure success by outcomes, not activities. Data-driven decisions. Validated methodologies. If we can't demonstrate the impact, we adjust the approach until we can.
No "AI-powered synergies." No magic. We use plain language to describe real capabilities. If a simpler solution works, we recommend it, even if it's less impressive on a slide deck.
AI implementations fail when they're built on hype instead of fundamentals. We invest in understanding your specific context because sustainable results come from systems your organization can actually maintain, evolve, and trust, not from vendor lock-in or unnecessarily complex dependencies.
Two services that address both sides of enterprise digital health. One reveals how your site is built. The other makes AI cite you correctly, and keeps it governed at scale.
See your company's digital nervous system
Large websites develop blind spots. Pages disconnect. Content drifts into silos. Our Digital MRI maps your entire site structure using network science, revealing hidden problems that hurt user experience and AI visibility.
For leaders driving digital strategy and operations
Make AI cite you correctly
AI assistants are becoming the new search engines. When someone asks ChatGPT, Perplexity, or Copilot about your industry — does your content get cited? Is it accurate? Can you control this at scale? We optimize your content for AI comprehension and deploy governed agents that keep it compliant.
For CMOs, Marketing VPs, and Content Operations leads
Digital MRI
Reveals which pages are structurally important: hubs, orphans, bridges, silos
GEO Implementation
Optimizes exactly those pages so AI search engines cite them correctly
Each service delivers standalone value. When combined, MRI's structural intelligence tells GEO precisely where to focus. Optimization backed by data, not guesswork.
Coming soon: AI Gatekeeper — automated pre-publication governance that flags structural drift before content goes live.
We don't just deliver and disappear. We start hands-on, then gradually enable your team. Every engagement includes knowledge transfer, because partnership means building your capability, not your dependency.
We scan your entire digital presence using network science: every page, every link, every connection mapped and analyzed.
You receive your Digital MRI report plus an interactive visualization. See your site structure as it really is, not as it was planned.
We walk through findings together and identify structural issues: orphaned pages, broken connections, content silos hurting your visibility.
Based on the diagnosis, we prescribe targeted solutions. You decide what to fix first, and we can help implement the changes.
In 2025 we conducted original research at the intersection of network science, data science, and machine learning. The core insight: enterprise websites encode business logic in their link topology, and structure predicts function better than content analysis alone. That research also shaped how we work: clear-box models over black boxes, feature efficiency over brute-force data, and MLOps-grade pipelines that make every output traceable and reproducible.
Structure matters. We know how to read it.
See the researchWe assess how AI search engines currently see your content: what gets cited, what gets missed, what gets misrepresented.
We build your governance vault: brand rules, content rules, personas, and compliance bricks. All versioned, modular, testable.
We compile Golden Pages and governed AI agents from your vault. Every output traces to specific input components. No black boxes.
We train your team to run manifests, update bricks, and maintain agents. The system outlives the engagement.
We apply MLOps principles to content and AI agents. Your compliance rules, brand voice, and quality standards become modular components, not tribal knowledge or one-off prompts.
Versioned
Every rule tracked in Git
Tested
Unit tests per component
Traceable
Every output has a source
Propagated
Update once, all comply
Update one compliance rule and all 50+ agents comply instantly. No manual editing. No drift. No compliance gaps.
Map your digital architecture with a Digital MRI. Optimize your AI visibility with GEO Implementation.
Start the Conversation
I've spent 10+ years in enterprise digital operations and 15+ years designing websites. I bridge technical teams and business stakeholders, translating between project managers, developers, and data scientists who rarely speak the same language.
I approach every problem with a network-centric view. In our world, everything connects to everything, and those connections hold massive untapped value that most analyses overlook. My thesis work confirmed this: structure isn't just organization, it's signal. That insight became Axiom Graph.
"I don't believe AI should be mysterious. If we can't explain how a system makes decisions, we shouldn't deploy it. Transparency isn't a nice-to-have; it's the foundation of trust."
I manage the business operations and growth strategy that keep Axiom Graph moving forward. With an economics degree and management background, I handle finances, legal coordination, and compliance — the operational foundation that lets us serve clients without distraction.
Beyond day-to-day operations, I identify strategic growth channels: EU tenders, local enterprise programs, and partnership opportunities that align with our mission. While Imre focuses on technical delivery, I make sure the company is not only running smoothly but growing in the right direction.
"A strong company needs more than great technology — it needs someone finding the right doors to open. I keep the foundation solid and the growth pipeline full, so we can scale with purpose."
Questions about transparent AI governance? Curious how your digital architecture measures up? Start a conversation.