Deliver deterministic AI trusted in real-time, high-stakes environments.
We build the cognitive engine at the center of mission-critical systems—where failure is not recoverable and predictability is non-negotiable.
0
Years in Production
Continuous operational deployment since 2013 in allied defense systems.
100
Security Compromises
Zero breaches across a decade of classified and air-gapped deployments.
0
NATO-Aligned Programs
Deployed in Northrop SAdIE, Poland IBCS,and European Sky Shield
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Uptime
Mission-critical reliability across real-time command and control environments.
Our Story
Cognitive Code was founded by Leslie Spring, the inventor and founding architect of the SILVIA platform. Spring’s background in building large-scale, rule-based software systems shaped the company’s core focus: ensuring intelligent systems act safely and predictably in complex environments.
Before founding Cognitive Code, Spring led software development teams at Electronic Arts and Sony, where he worked on graphics systems, 3D engines, and custom developer tools. That experience revealed a consistent challenge systems become harder to control as they become more capable, and intelligent actors will inevitably exploit rules unless execution itself is governed.
SILVIA was designed to address this challenge. It operates as a deterministic control layer that observes system state, enforces explicit constraints, and governs which actions are allowed to execute. Unlike probabilistic AI, SILVIA delivers consistent, explainable outcomes and inbuilt failsafes when conditions are not met.
This architecture has been deployed in mission-critical environments, including programs within Northrop Grumman, where execution control required reliability beyond what probabilistic systems could provide.
Over time, SILVIA has evolved from a focused execution control layer into a broader governance platform for intelligent systems. Today, it functions as a deterministic cognitive operating system, sitting above models, agents, APIs, and automation to govern how decisions are executed—delivering governance that scales with capability while remaining practical to deploy, refine, and verify.
Before founding Cognitive Code, Spring led software development teams at Electronic Arts and Sony, where he worked on graphics systems, 3D engines, and custom developer tools. That experience revealed a consistent challenge systems become harder to control as they become more capable, and intelligent actors will inevitably exploit rules unless execution itself is governed.
SILVIA was designed to address this challenge. It operates as a deterministic control layer that observes system state, enforces explicit constraints, and governs which actions are allowed to execute. Unlike probabilistic AI, SILVIA delivers consistent, explainable outcomes and inbuilt failsafes when conditions are not met.
This architecture has been deployed in mission-critical environments, including programs within Northrop Grumman, where execution control required reliability beyond what probabilistic systems could provide.
Over time, SILVIA has evolved from a focused execution control layer into a broader governance platform for intelligent systems. Today, it functions as a deterministic cognitive operating system, sitting above models, agents, APIs, and automation to govern how decisions are executed—delivering governance that scales with capability while remaining practical to deploy, refine, and verify.