Rhizome Networks

Preparing Organizations for the AI-First Web People are increasingly finding answers through AI assistants instead of websites. This fundamental shift is redefining how knowledge is discovered, distributed, and monetized. Rhizome Networks helps organizations transform their content, expertise, and information assets into AI-ready knowledge systems through modern architectures, RAG platforms, and contextual knowledge services.

What We Do

Build AI-Native Systems for the Web of Context

Rhizome Networks helps organizations design and build AI-driven platforms, RAG systems, agentic services, and cloud-native architectures that make knowledge accessible to humans and AI alike.

30 years of engineering experience. Production-ready solutions. CTO-level leadership.

AI Architecture & System Design

We design end-to-end AI systems, including RAG pipelines, ingestion flows, vector search, and cloud-native infrastructure tailored to your business needs.

Cloud-Native Engineering

We build scalable microservices on AWS using containers, and distributed coordination systems, enabling resilient and maintainable AI platforms.

RAG & LLM Integration

We help companies integrate LLMs with real-time, domain-specific data using modern retrieval techniques, ensuring accuracy, relevance, and reliability.

Fractional CTO Services

We provide CTO-level technical leadership for startups and growing companies, offering architecture guidance, roadmaps, and hands-on problem solving without the cost of a full-time executive.

Why We Believe the Web Is Changing

For more than two decades, websites have been the primary gateway to knowledge. Today, people increasingly obtain answers through AI assistants rather than by visiting websites directly. As AI becomes the interface between people and information, organizations must rethink how their knowledge is exposed, discovered, and consumed.

At Rhizome Networks, we help organizations prepare for this transition.

For more than two decades, we have thought about the web in terms of websites and web pages. If you own a website designed to share knowledge, expertise, or information, you have probably noticed that things are no longer the same as they were just a few years ago.

The change began with the rise of social platforms and Web 2.0 ecosystems, which gradually shifted attention away from independent websites. Later, search engines started providing increasingly rich answers directly within search results, reducing the need for users to visit the original source.

Today, a much bigger transformation is underway.

Large Language Models (LLMs), AI assistants, and autonomous agents are becoming the primary interface between people and information. More and more interactions that once took place between humans and websites now take place between humans and AI.

This changes everything.

A website is no longer the destination. Increasingly, it is only one of many possible sources from which AI systems gather knowledge.

As the founder of Rhizome Networks, and after more than 30 years of building software systems and digital platforms, I believe that the web of the near future will look fundamentally different from the web we know today.

Many websites will continue to exist, but they will no longer be the primary gateway to knowledge. Instead, the digital landscape will increasingly be shaped by AI assistants, autonomous agents, RAG systems, knowledge services, and machine-to-machine interactions that deliver information directly when and where it is needed.

Organizations that continue to think only in terms of websites may find themselves becoming less visible over time. Organizations that learn how to expose knowledge, provide context, and integrate with the emerging AI ecosystem will be better positioned for the future.

At Rhizome Networks, we help organizations prepare for this transition by designing AI-native architectures, knowledge distribution systems, RAG solutions, and agent-enabled services that make information accessible to both people and AI.

The web is evolving from a network of pages into a network of knowledge.

The future web is the web of context.

What We Build

AI-Powered Knowledge Distribution

As AI assistants become the primary way people discover information, experts and organizations can no longer rely solely on websites to reach their audience.

We are developing a new generation of knowledge distribution systems that enable professional expertise to be discovered, accessed, and monetized through AI platforms, RAG environments, and intelligent assistants while preserving ownership and control of the underlying content.

Preparing expertise for the web of context.

האם זה רלוונטי לגביכם? השתתפו בסקר

AI-ContentGlass

AI-ContentGlass is our vision for the next generation of knowledge sharing.

Instead of organizing information as websites and pages, knowledge is organized into contextual spaces that can be discovered and understood by AI systems, agents, and RAG platforms while remaining under the control of their owners.

A new foundation for the web of context.

Our Services

AI Readiness Assessment

Evaluate your organization’s ability to adopt AI:

  • Data readiness and quality
  • Infrastructure and architecture
  • Opportunities and use cases
  • Risks and constraints
  • Practical roadmap for implementation

Custom Development

Hands-on engineering in:

  • PHP and Python backend services
  • AWS based infrastructure
  • Vector and text search
  • Custom distributed coordination systems

Setup a RAG

A complete working RAG system:

  • Data ingestion and preprocessing
  • Vector database setup
  • LLM integration and orchestration
  • API and service interfaces
  • Deployment on AWS/EKS and MongoDB-Atlas

AI System Architecture

Design of scalable AI systems:

  • RAG and LLM-based solutions
  • Cloud-native microservices
  • Distributed coordination and orchestration
  • Observability and reliability

Consulting

Monthly hourly package of CTO-level guidance:

  • Architecture and technical strategy
  • Roadmaps and decision-making
  • Team mentoring and best practices
  • Hands-on problem solving

Contact

If your organization is exploring AI adoption or needs help designing and building AI-driven systems, we’d be happy to talk.

Email: giladt@rhizomenet.com

LinkedIn: Gilad (CTO & Solution Architect)

Location: Based in Petah Tikva, Israel • Serving global clients

Rhizome Networks Ltd. specializes in designing and building modern AI-driven platforms, with a focus on Retrieval-Augmented Generation (RAG), LLM integration, cloud-native architecture, and distributed systems. With 30 years of engineering experience and hands-on CTO leadership, we deliver robust, scalable, and production-ready solutions for organizations seeking to adopt or expand AI capabilities.

The future web is the web of context.