Write more Questions and Answers about our Positionning

[jravenel]

9 questions impacting market positioning might be addressed:

• What problem are we solving, how, and for whom?

  • Problem: Organizations struggle to integrate data and AI systems efficiently, limiting their scalability and operational insight.
  • How: Naas provides a universal data and AI platform, integrating ontologies, open-source templates, and ABI (AI Building Interface) to create a suite of AI Assistants that automate workflows and support decision-making.
  • For whom: Organizations as a whole, whether they are individuals, businesses, or institutions, seeking seamless data-driven insights, AI-powered operations, and long-term scalability. Organizations as a whole (individuals, businesses, or institutions) that seek seamless data-driven insights, AI-powered operations, and long-term scalability while prioritizing compliance and knowledge transfer.

• What makes us different?

  • Naas combines open ontology-based data modeling with Python-based data product packaging of workflows and AI models, offering unmatched flexibility, semantic precision, and scalability.
  • The platform bridges human knowledge with AI in a way that is modular, customizable, and ontology-driven.

• How do we want to be perceived?

  • As the go-to universal data and AI platform, combining technical sophistication with practical solutions to empower businesses.

• What is our messaging?

  • "Empowering organizations to automate operations and transfer knowledge into AI systems using the world's first ontology-first universal data platform."

• What do we say & write?

  • Content focused on the transformative power of ontology-driven AI, the value of ABI workflows, and practical guides for organizations to adopt AI systems that align with their operations.

• Where do we sell?

  • Primarily online through a SaaS model, targeting tech-savvy enterprise clients via a direct sales approach and inbound content marketing. Collaborative partnerships with consulting firms like Mazars also expand reach.

• How much does it cost?

  • Flexible pricing based on credit consumption, aligned to client use-cases, with free credits offered to explore the platform and tailored pricing for enterprise-level needs.

• What is our visual identity?

  • A modern, clean design rooted in a black-themed, Platonian aesthetic, blending technical sophistication with accessibility. It emphasizes clarity, structure, and innovation.

• With whom do we partner?

  • Consulting firms (e.g., Mazars), ontology research groups (e.g., University at Buffalo), and open-source contributors. Partnerships extend to industries leveraging AI systems for compliance, scaling, or innovation.

[jravenel]

@FlorentLvr @Dr0p42 any comment on the above?