We deliver a progressive LVC (Live, Virtual, Constructive) ecosystem that merges physical equipment with immersive XR, enabling your personnel to train better, safer, and with unparalleled realism.
Deploying live chemical or radiological agents for training is prohibitively
expensive and inherently dangerous.
Almost Real provides the tactical advantage of
safely replicating high-risk, non-permissive scenarios without the logistical
overhead. Maximize your operational budget while achieving a higher standard of mission
readiness and total personnel safety.
Not just a simple simulation: feel the mission. Almost Real wants to close the gap between controlled training and real field conditions in CBRN, delivering higher training frequency, zero exposure risk, and scenarios developed to push operators to their physiological limits. Through the integration of real certified equipment and advanced virtual environments, Almost Real delivers training that is physiologically demanding, operationally accurate, and infinitely repeatable.
Threats evolve rapidly; your training must adapt instantly.
Almost Real offers total
control over scenario variables. Instructors can dynamically manipulate
environmental factors, introduce unexpected hazards, and scale the complexity of the
mission in real-time. Train for the unpredictable.
Almost Real is a spin-off of Fondazione SAFE, born from years of European-funded research,
operational collaboration, and continuous technological development in the field of CBRN
training and preparedness.
What started as advanced research in immersive simulation has
evolved into a market-ready training ecosystem, designed to support first responders, civil
protection agencies, defence operators, and critical infrastructure stakeholders.
Almost
Real represents the transition from innovation to application: a dedicated entity focused on
scaling, deploying, and continuously evolving cutting-edge training technologies.
A modular ecosystem designed to deliver immersive CBRN training across multiple operational contexts.
Explore our solutions