For over a decade we are at the forefront of designing and engineering collaborative agents for data fusion, simulation and insight generation that team up with us to deliver measurable added value for security and defense.
Synthetic at-risk populations
Border security
Migration dynamics
Theater of operations
Our story
Scensei is a software-defined defense boutique. For over 14 years, we’ve been serving analysts and decision makers in defense and security. With a track record of 45 clients, 165 projects, and 65 multi-agent simulations, we bring deep expertise to critical challenges. Scensei is incorporated in Lugano, Switzerland.
Cutting-edge technology for agents and agent environments​
Designing adversarial environments where agentic AI systems adapt and evolve​
At Scensei, experience, agility and innovation enable cutting-edge technology.​ ​ We design and build synthetic environments where agents train, test, and optimize their behaviors, that is agent environments that challenge or shape the behavior of agentic systems.​ ​ Our in-house tech stack is devised for a performant, high quality simulation-as-a-service experience that delivers insights in time, seamlessly integrating AI-driven multi-agent simulation, a user-friendly web interface, and industry-standard cloud infrastructure. ​ We don’t just keep pace – we pioneer. Our internal technology roadmap is driven by a culture of continuous co-evolution, ensuring that together with our clients we outthink, outmaneuver, and outsmart our adversaries in an evolving defense landscape.​ ​ Our future-proof no-legacy solutions follow open data and software architecture design principles for interoperability. ​
MAS
Our multi-agent simulation design principles set the benchmark for the industry, combining the art of modeling with rigorous software development and state-of-the-art verification and validation. An agentic force multiplier, our simulations are built for real-world defense challenges, ensuring trustworthy, high-fidelity results that integrate into existing analytics and simulation ecosystems.​
AI
We leverage reliable and explainable AI to judiciously enhance our simulation process – from scenario setup and agent behavior modeling to running the simulation, to cloud load optimization and output analysis. Our approach integrates adversarial learning, neuroevolution, multi-agent reinforcement learning, and large language model techniques, ensuring robust decision-support in complex adversarial environments.​
CLOUD
Our cloud-based simulation-as-a-service environment is high-performance, scalable, and industry-grade secure, tailored for multi-agent defense applications. It enables rapid execution of complex, large-scale scenarios, from joint all domain operation force-on-force engagements to tactical system-of-system vignettes and swarms. With elastic compute resources, it supports millions of parallel simulations, enabling concept development and experimentation, red-teaming and stress testing, and optimal decision-making. We ensure confidentiality and data integrity, while maintaining cost effectiveness.
agent environment​
«Technology makes possible the revolution, but the revolution itself​ takes place only when new concepts of operation develop and, in​ many cases, new military organizations are created.»
Andrew W. Marshall​, U.S. Department of Defense​, Office of Net Assessment
Analytics of operational level scenarios​
Warfare is a complex web of human and machine decision-makers, interconnected across systems and command levels to collaboratively operate against (near-)peer adversaries. These Joint All-Domain Operations (JADO) environments exhibit emergent dynamics that request force and systems-of-systems designers to rethink learned organizations. OPTIMA is devised to farm, mine, and analyze data of operational level JADO scenarios. It runs millions of faster-than-real-time simulations with force packages made up of autonomous and networked state-of-the-art and future RED and BLUE systems. Engagement outcomes emerge from dynamic BLUE vs. RED interactions on the ground, in the air, at sea, and in the cyber domain. Planners and designers profit from shorter planning processes and robust decisions.
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Autonomous system and swarm training​
OPTIMA is also a synthetic environment where agents train, test, and refine their decision-making. It serves as an adaptive proving ground for autonomous systems and swarms, enabling iterative optimization of strategies and tactics. Within OPTIMA, dynamic agent environments continuously challenge and shape the behavior of agentic systems, driving adaptation, resilience, and emergent intelligence. By exposing agents to complex, adversarial scenarios, OPTIMA ensures they evolve to operate effectively in the ever-changing landscape of multi-domain operations.​
System of systems design​
The effectiveness of a system can differ significantly when operating independently versus within a larger operational framework like Joint All-Domain Operations (JADO). Some systems serve as force multipliers, enhancing overall capability, while others contribute less value when integrated. Designing systems in isolation is fundamentally different from designing them for seamless interaction within a complex ecosystem. We empower solution providers to demonstrate the operational advantages of their systems, fostering innovation and optimizing design through a deeper understanding of real-world integration and performance.​
Why choose our agent environments?​
Si vis pacem, para bellum.
AI-driven multi-agent synthetic simulation environment designed for operational level adversarial multi-domain scenario analytics and autonomous system and systems of systems training.
Warp-speed synthetic data farming engine for rapid exploration of plausible futures to accelerate concept development and experimentation. Model future technologies and scenarios where rules of engagement and doctrine have yet to be defined.
Known unknowns and unknown unknowns.
We go to war with the armed forces we have, not with the armed forces we want.
Optimize force structure robustness by integrating current, emerging, and future technologies and stress-testing capabilities across threat scenarios.
No plan survives first contact.
Red-team battle networks and CONOPS for multi-domain operations against adaptive adversaries to gain the edge. Predict, counter, and outmaneuver your adversary.
In warfare, silver bullets are rare.
System-of-systems analysis and design to coordinate new and existing capabilities for maximum operational value.
We won’t get the war we want.
Simulate multi-domain scenarios “left of boom” to build adaptability, resilience, and decision superiority in an unpredictable world.
Our USP
01
Automated analytics simulation the way it should be done: save resources and focus on what matters.
02
Simulation-as-a-service that creates value for money and ensures customer-centricity and critical insights.
03
Industry-grade secure cloud environment.
04
Independent decision support.
05
Uncompromising AI-driven multi-agent simulation environment purpose-built for data farming operational-level analytics, synthetic data generation, and training of autonomous agents.
06
No legacy, future proof, and open-architecture software.