Analog systems promise transformative efficiency gains. They remain confined to labs because you cannot scale what you cannot trust. Zeden builds the software that makes them reliable.
Get in touchGPU scaling is slowing. Data centers consume enormous energy. Demands from AI, simulation, and real-time processing grow exponentially.
Analog systems like neuromorphic, biological, memristor, and photonic computing offer 100 to 1000x efficiency gains. After billions invested globally, they remain confined to research environments.
The reason is simple: analog computing is inherently variable. The same inputs produce different outputs. Errors compound across networks. Without verification, there is no trust. Without trust, there is no deployment.
Software platform that optimizes numerical workloads across scientific simulation, ML inference, and signal processing on GPU hardware.
Control and integration software for biological processing units where living neural tissue performs learning and inference alongside silicon.
Bio-inspired analog vision processing for real-time motion and proximity detection at ultra-low power.
Real-time methods ensuring continuous substrate signals produce intended computational results. Applicable across biological, photonic, and memristor systems.
Active intervention and correction for substrate drift, noise, and failure modes. Maintains computational integrity across extended operation periods.
Standardized protocols that abstract away substrate-specific complexities. Applications treat different analog substrates as interchangeable compute resources.
Multiple provisional patents filed covering discrete state control, compute architectures, wave simulation methods, and analog sensor systems. Portfolio spans biological computing, numerical optimization, and analog hardware.
Actively pursuing federal research and development contracts in biological computing and advanced compute architectures. Partnered with domain experts in tissue engineering, neuroscience, and defense technology.