Our Rich History
Our Past Performance
idōs did not begin as an AI company. Its foundations were built over more than twenty-five years of work in risk governance, critical infrastructure protection, and emergency management. Before developing the idōs Operating System, our team designed and deployed systems that helped safeguard energy grids, transportation networks, border operations, public safety agencies, and private-sector enterprises across North America.
Our earlier work included geocentric threat modeling, enterprise resilience planning, and decision-support systems for organizations responsible for public safety and continuity. These efforts required a disciplined approach to documentation, accountability, and real-time oversight—principles that would later become the core of idōs OS.
This history matters because the challenges facing artificial intelligence today closely resemble the challenges faced in critical infrastructure: complex environments, time-sensitive decisions, and the need for clear accountability when systems affect human lives. The methods we refined in those earlier domains—structured risk analysis, transparent decision pathways, and operational traceability—translate directly into the architecture of lawful intelligence that idōs now delivers.
The idōs Operating System is the continuation of that work. It applies the same expectations of evidence, clarity, and responsibility that guided our earlier deployments, now adapted for environments where intelligent systems shape decisions at digital scale. Our past performance is not a separate chapter; it is the operational foundation that informs how idōs brings structure, oversight, and human-centered governance to artificial intelligence.
1998 — ASVACO Founded
ASVACO (All Source Vulnerability Assessment Company) begins as a risk-analysis and critical-infrastructure assessment firm. Its work supports governments, energy utilities, law enforcement, and defense partners, providing software-driven methods for vulnerability assessment and mission readiness.
Why it matters:
This is where our discipline of evidence-based decision support and operational accountability originated.
Early 2000s — National Recognition and Policy Influence
ASVACO’s methods appear across NIST mitigation frameworks, DHS Office for Domestic Preparedness 2003 guidelines, and DoD Critical Infrastructure Protection doctrine. Projects such as Raytheon CARVER, SBInet border security, and aerospace interdiction inform national preparedness and operational standards.
Why it matters:
These engagements taught us how to build systems that operate lawfully, verifiably, and under real-world constraints.
2007–2014 — Training the Next Generation of AI and Robotics Leaders
Through UC Irvine and UC San Diego’s RESCUE Project, ASVACO trains students, faculty, and first responders in resilience modeling, geospatial analysis, and mission-critical operations.
Why it matters:
This period seeded the human-centric design philosophy that now shapes idōs OS, emphasizing clarity, safety, and explainability.
2013–2016 — gTHIRA and Patented Geocentric Risk Modeling
ASVACO develops gTHIRA, a patented extension of earlier threat-hazard methodologies. It delivers facility-to-enterprise risk modeling at scale, later influencing AERA and the structured reasoning now embedded in idōs Capsules.
Why it matters:
gTHIRA becomes the technical bridge between physical-world risk modeling and modern AI governance.
2016–2023 — Global Expansion Across All Critical Infrastructure Sectors
ASVACO’s methods are deployed across all 16 DHS Critical Infrastructure sectors and all 15 FEMA Emergency Support Functions through partnerships in energy, transportation, aerospace, public safety, and defense.
Why it matters:
This breadth ensures idōs OS launches with sector-specific intelligence built in—not theoretical models, but operationally proven logic.
2020–2023 — Transition to Sovereign AI Governance
Advances in risk modeling, digital-twin simulation, contextual intelligence (PRIS.cc), and Cache-Augmented Generation align ASVACO’s discipline with emerging needs for lawful, transparent AI systems.
Why it matters:
This period marks the shift from risk assessment to constitutional AI governance, setting the stage for idōs OS.
2016–2024 — Global Expansion Across All Critical Infrastructure Sectors
ASVACO’s methods are deployed across all 16 DHS Critical Infrastructure sectors and all 15 FEMA Emergency Support Functions through partnerships in energy, transportation, aerospace, public safety, and defense.
Why it matters:
This breadth ensures idōs OS launches with sector-specific intelligence built in—not theoretical models, but operationally proven logic.
3rd Qtr. 2026 — idōs OS Launched
idōs becomes the sovereign operating system for accountable artificial intelligence. Capsules, Digital Twins, PRIS.cc, and AERA integrate into a unified platform designed to make AI lawful, explainable, and transparent at every scale—individual, enterprise, and national.
Why it matters:
idōs is not a new company—it is the continuation of decades of operational reality, transformed into a constitutional AI platform for the regulated era.
Mr. Bruce Redinger
CEO and Founder
Mr. Redinger brings more than three decades of leadership spanning aviation, hospitality, complex operations, and security technologies—experience that directly shapes the human-centered and safety-focused mission of idōs. Throughout his career, he has worked in environments where precision, reliability, and public trust were non-negotiable. These principles now influence how idōs designs and governs intelligent systems for the emerging realities of Society 5.0 and Industry 5.0.
His background in integrating large, multi-sector operations gives him a practical understanding of how technology must support—not replace—human judgment. This perspective aligns with the core expectations of modern AI governance, including the growing national focus on accountability, safety, and transparency reflected in initiatives such as the AI LEAD Act. Under his leadership, idōs prioritizes systems that operate within clear boundaries, adapt to human context, and remain fully explainable at the moment of decision.
Over the course of his career, Mr. Redinger has built partnerships with Fortune 500 companies, global organizations, and high-trust industries. These experiences reinforce his conviction that advanced technology must operate with structural integrity, predictable responsibility, and long-term resilience. His ability to design cohesive operational frameworks has shaped idōs into a unified ecosystem—one where Capsules, Digital Twins, and intelligent agents work together to ensure accountability across individuals, enterprises, and nations.
As CEO, he provides the strategic clarity and organizational discipline needed to guide idōs through this transformative era. His leadership strengthens idōs’s commitment to building sovereign, human-centered AI infrastructure that is lawful, transparent, and ready for the demands of future intelligent societies. Email: Bruce@idos.app
Mr. Chate Asvanonda
Chairman and Founder
Mr. Asvanonda brings three decades of experience in data science, risk modeling, and threat analysis—expertise that forms part of the operational foundation of the idōs ecosystem. His work on patented geocentric risk-assessment methods, used across critical infrastructure and emergency-management environments, established a disciplined approach to transparency, structured reasoning, and accountable decision pathways.
These principles directly influence the architecture of the idōs Operating System. The same logic that once guided large-scale risk assessments now supports how idōs governs intelligent systems, interprets complex signals, and enforces clear boundaries at runtime. His background in resilience, systems thinking, and multi-variable analysis strengthens idōs’s ability to deliver lawful, explainable, and human-centered intelligence across personal, enterprise, and national environments.
His contributions help ensure that idōs OS remains grounded in proven methodologies and continues to advance as a sovereign, accountable operating system for modern intelligent ecosystems.