Artificial intelligence may be powering everything from enterprise workflows to content creation, but for AI to be truly transformative, it needs to evolve from reactive to real-time. That’s the premise behind the burgeoning field of Live AI—a new class of generative systems that don’t just respond, but remember, learn, and adapt continuously. And with a fresh $10 million seed round in its war chest, Pathway is joining the frontlines of this shift, promising enterprise-ready AI that thinks like humans do—on the fly.
Led by TQ Ventures, with additional support from Kadmos, Innovo, Market One Capital, Id4, and angel investors including Lukasz Kaiser—the renowned co-author of Transformers and key contributor to OpenAI’s GPT-1—Pathway is poised to become a major force in enterprise-grade AI transformation. This round not only accelerates their tech development but also positions the company alongside frontrunners like Cohere and Writer in the Live AI arms race.
Unlike traditional AI models, which are trained once and then serve static outputs, Pathway’s systems are built to ingest live structured and unstructured data—constantly updating themselves to reflect real-world change. For large organizations dealing with volatile data streams, this is a game-changer. It’s already being implemented by high-stakes clients like NATO and La Poste, France’s national postal service.
At the heart of this movement is Zuzanna Stamirowska, Pathway’s co-founder and CEO, whose background includes developing cutting-edge forecasting models in maritime trade. With technical powerhouses Adrian Kosowski and Jan Chorowski—who has previously worked with AI pioneer Geoff Hinton—by her side, Pathway is not just building software; it’s rewriting the operational logic behind modern artificial intelligence.
“The way current LLMs operate,” Stamirowska explains, “is like giving a very smart intern a book on their first day and expecting them to know everything by tomorrow. There’s no memory, and there’s no context from yesterday. That’s not how humans think—or how enterprise AI should.”
To overcome this, Pathway has developed what it calls “infrastructure components”—a flexible pipeline that plugs directly into AI workflows, feeding them live data during the prompt stage. This integration allows generative models to make decisions based on real-time context, rather than relying solely on pre-trained knowledge. In effect, the model is no longer operating in a vacuum.
As Stamirowska relocates to Menlo Park, California, Pathway is setting the stage for deeper integration with the global tech ecosystem. The company’s product-oriented mindset is already making waves; while Writer and Cohere dominate the knowledge management and LLM tooling conversation, Pathway frequently competes with behemoths like Palantir in AI transformation tenders—proving that agility and precision can trump size.
Backing this momentum is an overwhelmingly positive response from the developer community, according to Schuster Tanger, co-managing partner at TQ Ventures. “Zuzanna and her team possess bleeding-edge insight into one of the most exciting shifts in AI,” he states.
“They’re building not just tech, but a future-ready foundation for how businesses will interact with artificial intelligence”
As Live AI continues to take center stage in enterprise innovation, expect to hear much more from Pathway. In a world moving too fast for yesterday’s models, they’re giving AI something it’s never had before: the ability to catch up—and keep up.
