For Investors

“Organizational Intelligence” – changing the way companies are managed.

For Investors

“Organizational Intelligence” – changing the way companies are managed.

SMART FED has developed a new data category:

Self-initiated, object-oriented employee feedback in a multidimensional context.

On this basis, entirely new AI-supported systems for organizational learning can be developed, which fundamentally transform the recognition of organizational strengths, potential, and risks.

We are currently seeking a strategically oriented investment partner from the Enterprise AI sector for this venture.

How companies collected data about their organization yesterday and today

Through annual employee surveys (that was yesterday)
Through pulse and micro surveys (which employees dislike even more than annual surveys, even if claims often state otherwise)
Through AI-based measurements of employee performance (People Analytics & Monitoring)
Through AI-based analyses from instant feedback tools, internal chats, emails, and other communicationchannels (which employees do not like at all)

SMART FED pursues a new, hybrid approach that eliminates the disadvantages and weaknesses of existing approaches but intelligently combines their advantages.

A new category is emerging

SMART FED has not(!) developed just another HR software.

We have developed the methodical and technological foundation for a new form of Organizational Intelligence.

A platform that continuously generates organizational knowledge – structured, scalable, and AI-ready.

Not key performance indicators (KPIs), but topical, concrete, and relevant data for smart corporate management.

Why this is relevant

The next generation of artificial intelligence requires more than just large language models.

It requires high-quality, structured, and authentic data about the reality of organizations.

Today, AI systems can write, analyze, and automate.

However, they hardly understand what is actually happening within organizations.

SMART FED closes precisely this gap.

Our approach creates the prerequisites for profound and context-related organizational data and information, opening up entirely new possibilities for: