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Research, Simulation, and Autonomous Continuity Experiments
CHAOS Labs
CHAOS Labs is the experimental research environment of Stratic Systems.
Work conducted here reflects R&D using patent-pending concepts.
Government & National Security Relevance
CHAOS Labs exists to break systems on purpose so they can endure
CHAOS Labs conducts applied research aligned with missions requiring:
- autonomy under degraded or denied conditions
- resilient operations without reliable cloud connectivity
- continuity of sensing and control across multiple domains
- decision-making with incomplete or intermittent telemetry
- low-SWaP edge processing in austere environments
- environmental and infrastructure resilience for mission continuity
Research supports future applicability to mission spaces such as emergency response, critical infrastructure, and defense environments.
No field deployment or system delivery is implied.
Current Areas of Focus
Presented outcomes are experimental and subject to change.
Research areas include:
- harsh-environment hardware evaluation
- rural & austere connectivity studies
- grid irregularity and edge power continuity
- terrestrial–satellite insight gaps
- continuity maps for community impact
- anomaly-aware sensing and detection studies
Findings help inform Stratic Systems' evolving continuity architecture and autonomy design principles.
Research Partnerships
Intellectual Property Notice
Intellectual Property Notice
CHAOS Labs collaborates with:
- universities & research institutes
- infrastructure and civil-engineering programs
- emergency management research groups
- energy and environmental science laboratories
- national resilience and public-sector research initiatives
Collaboration supports research validation and helps shape responsible deployment requirements.
Intellectual Property Notice
Intellectual Property Notice
Intellectual Property Notice
All concepts described here are covered under U.S. patent applications filed by Stratic Systems.
Descriptions are high-level and omit proprietary mechanisms, internal processes, and implementation details.