Web3 infrastructure for trustworthy AI
About Ferrix Systems
Building verifiable AI infrastructure with sovereignty, provenance, and compliance at the core.
Modern AI infrastructure for sovereignty, provenance, and compliance.
Our Story
A journey of innovation and excellence
Ferrix Systems was founded in 2025 to meet a clear market need: companies require trustworthy, scalable, and secure AI systems to sustain real growth. From the beginning, our focus has been to unite high‑level engineering with business vision, building solutions that not only work but evolve with the organizations that use them.
We use modern, proven technologies to ensure performance, security, and scalability from day one. Our stack is built on Next.js, TypeScript, high‑reliability relational databases, and enterprise‑grade cloud infrastructure, augmented with policy enforcement, provenance controls, and cryptographic guarantees for AI pipelines.
Our work is driven by measurable outcomes. We build AI systems focused on operational efficiency, high performance, and continuous availability—while ensuring verifiable usage, traceable provenance, and compliance-ready governance. Every delivery includes clear metrics, automated tests, and complete technical documentation.
Ferrix Systems maintains a strong technical culture based on continuous learning, engineering best practices, and active participation in the tech community. We invest in privacy‑preserving verification, on‑chain attestations, and trust‑layer architecture so our clients benefit from modern, secure, and sustainable AI infrastructure over the long term.
Our Values
The principles that guide our work
Technical Excellence
Trust-layer engineering with rigorous architecture, verifiable provenance, and audit-ready delivery.
Long-Term Vision
We design governance primitives and licensing rails that scale with your AI roadmap.
Security & Reliability
Privacy-preserving verification, on-chain attestations, and robust compliance controls.
Results-Driven
Measurable governance: usage proofs, attribution graphs, and enforceable policies.
Our Journey
Milestones in our evolution
Foundation
We launched with a clear mission: make AI verifiable, compliant, and policy-aware by design.
Architecture & Stack
We defined cryptographic controls, privacy-preserving verification, and trust-layer primitives.
First Production Pilots
We shipped watermarking, attribution graphs, and audit trails into live AI workflows.
Expansion to AI Systems & Platforms
We extended to on-chain attestations, licensing enforcement, and compliance automation.
Consolidation & Scale
We scaled trust infrastructure with measurable governance and enterprise-grade reliability.
Technical Leadership
Engineering led directly by founders
Founders stay hands-on across the full lifecycle: policy definition, cryptographic guarantees, and production delivery.
Ready to build a trust layer for your AI?
Book a consultation to implement provenance, policy enforcement, and privacy-preserving verification.