
Industrial
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Battery Energy Storage
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Designs and rapidly manufactures custom, aerospace-grade battery packs for aerospace, defense, and maritime applications using software-defined, ML-optimized production lines.
Kyten publicly markets rapid custom battery pack design-to-production in days rather than months, targeting drones, satellites, submarines, and manned aircraft. Their YC W26 profile emphasizes software-defined manufacturing, in-house qualification and testing, and adaptive form factors as standard. They are actively seeking pilot partnerships with aerospace and defense OEMs. The founders spent a combined eight years at Starlink and Shield AI, deploying over 6,000 battery packs to low earth orbit. Cooper also has experience at Tesla. They are based in Seattle, WA.
GitHub and LinkedIn signals suggest a two-person founding team still in deep technical build mode with no public hiring, pointing to a pre-revenue or early-revenue phase focused on proving out their automated manufacturing line. The absence of SBIR, DOE, or ARPA-E awards suggests they are pursuing commercial contracts first, but defense and government funding applications are likely imminent given their target verticals. Their emphasis on "every line of code written to make American factories faster and cheaper" and continuous operator data collection for ML training hints at a proprietary manufacturing execution system (MES) that could become a defensible software moat beyond the physical factory. Conference and trade show absence suggests stealth-mode operations with selective, direct customer engagement.
ML-powered manufacturing process optimization that continuously learns from operator and sensor data to reduce cycle times, minimize waste, and lower per-unit cost across custom battery pack production runs.
Their factory watches itself work and gets smarter every shift, automatically finding faster and cheaper ways to build each custom battery pack.
It's like having a pit crew chief who remembers every tire change from every race and instantly knows the fastest strategy for a car they've never seen before.
Machine learning models for real-time state-of-health and state-of-charge estimation, predictive degradation modeling, and lifecycle optimization embedded into custom battery pack firmware and qualification testing.
Their software can predict exactly when a battery pack will wear out — before it ever leaves the factory — so a satellite or submarine never gets a surprise.
It's like a doctor who can predict your exact health 10 years from now after a single blood test, so you never have to over-insure just in case.
Real-time ML-driven anomaly detection and automated quality control across the battery pack manufacturing line, using computer vision and sensor fusion to catch defects before they propagate.
Cameras and sensors on the factory floor act like a team of eagle-eyed inspectors who never blink, catching microscopic defects in every battery pack before it ships.
It's like having a bouncer at the door who has memorized every fake ID ever made and can spot a new one they've never seen before in a millisecond.
Both founders spent a combined eight years at SpaceX Starlink and Shield AI, personally designing and shipping over 6,000 flight-qualified battery packs into orbit. Cooper went from a Tesla intern to building and leading 30+ person engineering teams at SpaceX and Shield AI. This gives them rare end-to-end expertise in high-reliability battery manufacturing at scale, a combination almost no other startup team possesses.