Cubbiq offers a seamless, affordable way to connect your proprietary business data to leading generative AI tools—no complex projects, no heavy consulting fees. 

• Wraps your existing tools and API endpoints in the Model Context Protocol (MCP), making your proprietary data instantly compatible with leading generative AI platforms like ChatGPT, Gemini, and Perplexity.

• Enables generative AI to interact directly with your business data, accelerating time-to-market and eliminating the need for large, expensive integration projects.

• Maintains robust data security and governance by transmitting only what’s needed, with strong access controls and encryption to ensure compliance and peace of mind.

• Delivers a plug-and-play solution that requires no infrastructure overhaul, avoids vendor lock-in, and keeps you in control of your data and AI strategy.

Elevate your brand’s visibility and control in the AI era by optimizing your website and public data for seamless, accurate consumption by generative AI tools—ensuring your business is front and center when AI agents guide customer decisions, not just human searchers.
 

• Make your business discoverable and accurately represented by AI platforms like ChatGPT, Gemini, and Perplexity, so your products and services are recommended when buyers ask AI for solutions.

• Organize your website content and public data using proven frameworks—structured data, semantic layers, and AI-friendly APIs—to ensure generative AI tools can easily parse and present your information to potential customers.

• Protect sensitive business information with tailored anti-scraping and security measures, allowing you to control what data AI agents access while maximizing the visibility of your key offerings.

• Align your sales and marketing strategy with the new reality of AI-driven customer journeys, leveraging analytics and AI visibility scoring to measure and improve your brand’s presence in generative AI outputs—driving measurable ROI and sustained competitive advantage. 

Lay the foundation for scalable, accurate, and adaptable generative AI by solving the challenge of disconnected knowledge with a robust semantic layer. 

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• Knowledge Graph Development - Define and map relationships between your organizational data assets, transforming fragmented information into a connected ecosystem.

• Content Enrichment -  Organize and tag your data with relevant metadata to improve searchability and enhance contextual understanding, bridging gaps in your knowledge infrastructure.

• Generative AI Alignment - Build a semantic layer that integrates seamlessly with AI models, ensuring consistency, precision, and relevance in responses by connecting previously siloed data and enabling retrieval-augmented generation (RAG) workflows for grounded, authoritative outputs.

• Scalable Architecture and Governance - Leverage modular, cloud-native architectures—including knowledge graphs, vector databases, and real-time metadata management—to support evolving business needs, maintain data control, and ensure compliance, positioning your organization for efficient, secure, and future-proof AI-driven insights.