We are an independent AI research group headquartered in Almaty, Kazakhstan.
We are building a different path: expanding Liquid Neural Networks to better reproduce how living neural systems evolve in time, adapt, and reason. Smaller footprints and lower energy use matter—but they are outcomes, not the mission.
We are a founder-led collective of engineers and researchers focused on one core question: how far can LNN dynamics go when the target is biological realism, not parameter vanity.
Bagzhan Karl
Founder, CEO & Lead Research
Pragmatist backend engineer turned neural architect. Applying rigorous software engineering principles to LNN cores.
Alizhan Karl
Co-founder, Growth & Community
Navigating the narrative of open-source research. Ensuring our technology is accessible and actionable for the global developer ecosystem.
Our primary focus is the development of sanday—a high-performance speech synthesis and recognition ecosystem built on the foundation of Liquid Neural Networks (LNN).
Instead of optimizing for model bulk, we optimize for temporal intelligence: continuous-time state evolution, adaptive response, and richer neural behavior under real-world constraints.
We do it to move AI closer to living cognition—not only bigger benchmarks.
Economic Empowerment
As LNN architectures become more expressive, practical deployment naturally becomes cheaper. We will pass that advantage to independent developers and startups, while keeping the primary R&D target on neural quality and adaptivity.
Technological Sovereignty
We want to enable "AI everywhere"—not just in the cloud, but in local, offline environments where real-time adaptation, privacy, and autonomy are paramount.
Biological Fidelity
Inspired by living neural systems, we prioritize continuous dynamics, state adaptation, and structural signals that better mirror cognition in motion.
Empirical Rigor
We reject the hype cycle. Progress is measured by hard metrics, behavioral quality, and reproducible experiments—not by parameter count theater.
Open-Source Covenant
The building blocks of speech technology should be a public good. The research core of our work remains open, inviting scrutiny and collaboration from the world.