As large enterprises grapple with how to incorporate AI into their platforms and processes, they have encountered a problem: Generative AI needs to have memory and its training data must be constantly updated for it to have any practical use. This area is now called ‘Live AI’ and a number of startups are working in the space, including Cohere and Writer. Another, Pathway, has just raised a $10 million Seed round to build live AI systems that, claims the company, think and learn in real-time as humans do.
The round was led by TQ Ventures, with participation from Kadmos, Innovo, Market One Capital, Id4 and angel investors. Another investor in Pathway includes Lukasz Kaiser, the co-author of Transformers and a key researcher behind GPT o1 from OpenAI.
Pathway’s offering includes what it calls ‘infrastructure components’ that power live AI systems, feeding on structured and unstructured data, meaning that enterprise AI platforms can make decisions on up-to-date knowledge. Customers so far include NATO and La Poste, the French post office.
Zuzanna Stamirowska, Co-Founder and CEO of Pathway, told TechCrunch over a call: “The way deep learning and LLM assistants are working, is that you take the training data and then you train models. But the question is, how to deal with knowledge, how to deal with memory? Right now an LLM acts like a bit 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 stactic.”
To remedy this, she said Pathway “enables developers to build a pipeline where they can feed-in live data into the AI systems. Right now we do it during th …