
— Disrupting the market of blank ammunition
Cph InnoTech ApS is developing next-generation gas-based blank ammunition that significantly reduces environmental impact without compromising performance or compatibility.
Technical Solution
Recoil
Fully Mechanical
Changing two components - magazine and bolt carrier
Auditiv simulation
Less implications related to dangerous goods



About Cph InnoTech ApS
Copenhagen, Denmark
Based in Copenhagen, Cph InnoTech is pioneering cleantech company focused on developing sustainable solutions for the defense sector. We believe that military readiness and environmental responsibility can coexist through innovation.
Our mission
To transform military training by providing environmentally responsible solutions that meet the highest performance standards.
Sustainability First
Our gas-based technology eliminates harmful emissions and reduces the environmental footprint of training exercises.
Innovation Stage
Currently in advanced R&D, we're preparing to bring disruptive technology to the defense industry.
Our Technology
Gas-Based Blank Ammunition
Traditional blank ammunition relies on gunpowder propellants that release harmful pollutants and contribute to environmental degradation. Our innovative gas-based solution provides the same realistic training experience while dramatically reducing environmental impact and to a fraction of the price giving the customer endless ammunition for a fixed price.
By replacing combustible propellants with a proprietary compressed gas system, weøve created ammunition that meets military specifications for sound, recoil simulation, and reliability - all without the toxic byproducts of conentional rounds and the tons of empty shalls they leave in nature.
Value for all



Reduced CO2 Footprint
Significantly lower carbon emissions compared to traditional gunpowderbased blank ammunition.
Full Platform Compatibility
Designed to work seamlessly with existing military weapon systems without modifications.
Consistent Performance
Reliable operation in all weather conditions with performance matching conventional alternatives.
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