Stellara AI is the independent intelligence platform for the fusion energy industry. Disruption prediction. Plasma control optimization. Reactor design intelligence. Built for every fusion company on Earth.
$15B+ invested in fusion hardware. Zero independent AI platforms. Until now.
Nuclear fusion is the most important unsolved energy problem in human history. A working fusion reactor would provide virtually unlimited clean energy -- no carbon emissions, no long-lived radioactive waste, no fuel scarcity. Deuterium from seawater and lithium could power human civilization for millions of years.
Despite 70+ years of research and $50B+ in cumulative investment, no fusion reactor has achieved sustained, commercially viable energy production. The fundamental barrier is plasma instability: containing ionized gas at 150 million degrees Celsius while it writhes, tears, and disrupts in ways that can destroy reactor components in milliseconds.
A single uncontrolled disruption in ITER (the $25B international tokamak) could generate forces equivalent to a small bomb. In commercial reactors, each disruption could cost $1-10M in repairs. Current prediction achieves ~95% accuracy -- which means multiple catastrophic events per week of operation.
Stellara AI builds the independent AI platform that every fusion company needs. We deliver production-grade disruption prediction, plasma control optimization, and reactor design intelligence -- trained on multi-machine data, deployable on any tokamak configuration.
Real-time disruption prediction with millisecond latency. Classifies instability type (tearing, ballooning, kink, VDE). Recommends mitigation actions. Trained on multi-machine data with cross-device transfer learning.
Deep reinforcement learning for optimal magnetic coil control, heating profiles, and fueling strategies. Maximizes plasma performance while maintaining safety margins. The AI copilot for reactor operators.
Generative AI for tokamak and stellarator design optimization. Explores vast parameter spaces of magnetic configurations, materials, and geometries. Predicts performance, cost, and lifetime in hours instead of years.
Fusion Industry Association 2025 survey. Cumulative sector funding exceeds $15B.
First plasma targeted for 2027. The first commercial-path reactor that needs production-grade AI.
Regulating fusion as byproduct material, not fission reactor. Dramatically simpler licensing.
Fusion industry confidence at all-time high. The question is when, not if.
Three converging breakthroughs in 2024-2026 make Stellara AI possible for the first time. Deep RL plasma control has been proven on live tokamaks. National AI infrastructure is launching. And the first reactors that need our tools are being assembled right now.
Princeton/Columbia, Nature 2024
Deep reinforcement learning demonstrated real-time tearing instability avoidance on a live tokamak. Not simulation -- actual plasma control. Proving AI can prevent disruptions, not just predict them.
PPPL / DOE, 2026
National platform pairing AI with HPC to accelerate fusion simulations. Compresses months-long simulations to real-time. Creates the shared data infrastructure the industry needs.
CFS, 2025-2026
The first tokamak on the path to commercial fusion is being assembled now. First plasma in 2027. ARC commercial plant in the early 2030s. The customers who need our AI tools are being built today.
Founder and CEO
15+ years in AI/ML. Former Head of AI Innovation at Motorola Solutions. Computational biology research at Bar-Ilan University (BINA) -- experience modeling complex physical and biological systems. Founder of Ultra Deep Tech (AI safety lab). Deep reinforcement learning expertise from algorithmic trading at Geyser Light Capital. M.Sc. Industrial Engineering, B.Sc. Mathematics and Physics.
LinkedIn ProfileFusion hardware companies are run by plasma physicists, not ML engineers. They build reactors brilliantly but lack the AI expertise to build production-grade ML systems. Big tech labs (DeepMind) do landmark research but will not sell tools to the industry. Stellara AI bridges this gap: an AI-native company with deep domain knowledge, purpose-built to serve every fusion company as an independent intelligence platform.
Plasma physics, tokamak operations, fusion reactor engineering, magnetic confinement
ML engineers, plasma physicists, control systems engineers. Get in touch
Plasma analysis platform live. First 200 researchers and fusion engineers on the platform.
Raise $1.5M. Hire founding ML and plasma physics engineers.
3+ enterprise pilots with fusion companies. Real-time inference API. Cross-machine products.
Raise $4M. Confinement Control Optimizer development. 5+ enterprise contracts.
Real-time AI control demonstrated on a live tokamak. The standard platform for fusion AI.
Stellara AI is in development. Join the waitlist to get early access to FusionScope, our plasma instability analysis platform. Fusion researchers and engineers get priority.
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