Pathway, a startup focused on developing "Live AI" systems, has raised $10 million in a Seed funding round led by TQ Ventures, with participation from several other investors. This investment will enable the company to build AI systems that can think and learn in real-time, a capability that has been lacking in current AI technology.

The concept of "Live AI" addresses a significant limitation of current AI systems, which are typically trained on static data and lack the ability to learn and adapt in real-time. This limitation makes it difficult for AI systems to be effective in dynamic environments where data is constantly changing. Pathway's technology aims to overcome this limitation by enabling AI systems to learn from structured and unstructured data, making them more effective in real-world applications.

Pathway's offering includes what the company calls "infrastructure components" that power live AI systems. These components allow enterprise AI platforms to make decisions based on up-to-date knowledge, rather than relying on static data. The company has already secured several high-profile customers, including NATO and La Poste, the French post office.

Zuzanna Stamirowska, Co-Founder and CEO of Pathway, explained the limitations of current AI technology, stating that deep learning and LLM assistants are limited by their inability to deal with knowledge and memory. She described current AI systems as being like "a very smart intern on the first day of his job, being offered a book to read. But they can't really memorize it. Plus, it's not live, it's static." Pathway's technology aims to overcome this limitation by enabling developers to build pipelines that can feed live data into AI systems.

Stamirowska has assembled a highly technical team to achieve the startup's goals, including co-founders Adrian Kosowski and Jan Chorowski, who previously worked with Geoff Hinton, a recent Nobel Prize winner and the "Godfather of AI". Stamirowska herself is a renowned expert in the field, having published a state-of-the-art forecasting model for complex networks.

Pathway's technology has the potential to have a significant impact on various industries, including enterprise AI, knowledge management, and more. The company's approach is distinct from other startups in the space, such as Cohere and Writer, which focus on GenAI engineering and knowledge management. Pathway's focus on live AI systems sets it apart from these competitors.

In a statement, Schuster Tanger, Co-Managing Partner and Co-founder at TQ Ventures, praised Pathway's team, stating that they possess "bleeding-edge insights and expertise in one of the most exciting fields in modern business." The response from the developer community has been strong, indicating a high level of interest in Pathway's technology.

With this funding, Pathway is well-positioned to continue developing its live AI systems and expanding its customer base. As the AI landscape continues to evolve, startups like Pathway are pushing the boundaries of what is possible with AI technology.