digital edition - journal analysis and scientific references on us
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Advancing Artificial Intelligence and Quantum Technologies Across Critical Sectors
MIRYAS AI Technologies engineers next-generation AI and quantum-enabled systems that power decision-making, resilience, economic and strategic advantage for governments and enterprises.
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Mission Statement
MIRYAS AI was not created as a product company.
And not as an AI startup.
It was created to operate where decisions cannot fail, data cannot leave jurisdiction, and systems must remain controllable over time. We design artificial intelligence infrastructure, quantum-enabled computation, and regulated financial computing platforms for governments and strategic enterprises operating under legal, regulatory, and national constraints.
Not tools. Not experiments.
Systems that sit at the point where policy, data, and execution converge.
MIRYAS AI exists to support states and enterprises in achieving digital sovereignty, systemic resilience, and strategic independence - not as an alternative, but as infrastructure suited to today's reality.
Co-Founder & CEO,
MIRYAS AI Technologies Inc.
MIRYAS AI: The Sovereign Intelligence Engine
Our core strategy, ORCO (Ontology-native Real-time Control & Orchestration), is engineered to liberate nations from the "digital traps" of legacy systems like SAP and Oracle. Unlike rigid databases, ORCO understands the state as a living organism, processing complex institutional relationships in real-time.
ORCO
Enough thinking
Our trust engine, WORM (Write Once, Read Many), is crafted to protect nations from the "hidden edits" of corrupt systems. Unlike common logs, WORM secures the truth as a permanent record, capturing every critical action in real-time. This provides total accountability that traditional databases simply cannot match. We secure every single fact.
WORM
MIRYAS AI: The Recursive Intelligence Engine
Our analytical core, RNS (Recursive Neural Scoring), is engineered to expose the "hidden patterns" that traditional, linear monitoring systems fail to detect. Unlike static risk assessments, RNS operates as a dynamic feedback loop, continuously refining its understanding of institutional and financial ecosystems to identify complex anomalies in real-time.
RNS
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Science & Intelligence
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Foundational Data Science & Analytics
Grounded in statistical learning, causal inference, and graph analytics research, this layer transforms raw data into operational insight. We build AI analytics systems that support forecasting, scenario modeling, anomaly detection, and strategic planning across governmental, public and industrial domains and trusted at institutional scale..
Use cases: Public sector & government, Regulatory intelligence & compliance analytics, industrial operators.
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Quantum Intelligence & Hybrid Computing
Based on ongoing research in quantum information science and hybrid classical–quantum algorithms, we explore quantum-enhanced optimization, simulation, and risk modeling for national-scale problems. These efforts are informed by advances in complexity theory, probabilistic inference, and decision science with higher fidelity and insight.
Focus areas: Optimization, logistics, finance, strategic planning. Applied, hybrid, future-ready—not speculative.
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Synthetic Biologic Intelligence (SBI)
Inspired by emerging research in bio computation and synthetic intelligence, MIRYAS AI explores SBI as a long-term frontier—connecting biologic principles, AI, and quantum intelligence into future decision systems. This research aligns with MIRYAS QAI and is positioned forMENA, focusing on next-generation intelligence paradigms.
Focus areas: Bio inspired computation & learning, neuromorphic systems, sustainability models.
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Digital & Crypto Banking
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Onchain Investment Funds
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Ordinals Launchpad & Analytics Dashboard
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AI -First Financial Technology Platform
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Finance & Blockchain
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Distributed Ledger Institutional System
We design permissioned and hybrid distributed ledger systems for government and enterprise environments, grounded in applied research on distributed consensus, fault tolerance, cryptographic security, and system scalability. These systems are engineered to operate under institutional constraints, where governance, identity, and legal enforceability are first-class system components.
Use cases: National and sectoral registries, digital identity and credential systems, supply chain traceability.
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Real-World Asset Infrastructure (RWA)
Building on research in digital asset architectures, cryptographic representation, and legal-tech integration, we develop infrastructure for the tokenization of real-world assets (RWA). This includes physical, financial, and sovereign assets whose lifecycle must remain anchored in law, regulation, and institutional accountability. Tokenization is treated as a computational abstraction of ownership, rights.
Target classes: Land and cadastral agency, commodities and logistics assets, energy and natural resources.
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Centralized Financial Architectures
We design centralized (CeFi) and decentralized (DeFi) financial computing systems informed by research in financial engineering, cryptoeconomics, and secure distributed systems, with a focus on regulated and supervisory-compliant deployment.
Positioning (CeFi) and (DeFi) systems as opposing models, we treat them as complementary architectural patterns within a broader financial system.
Focus areas: National and state-owned banks, financial regulators, supervisory authorities, treasury management.
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Featured Projects
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Sovereign Financial Intelligence Fabric
MAALIYATEK
This project develops a sovereign financial intelligence layer that integrates macroeconomic data, transaction flows, regulatory signals, and institutional balance sheets into a unified decision environment. Grounded in research on causal inference, financial networks, and large-scale graph analytics (arXiv: systemic risk modeling), the system enables real-time supervision, stress testing, and policy simulation.
Deployed on national MICC/DICC infrastructure, it supports CBDC design, RTGS modernization, and programmable monetary operations under full state control.
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National Estate Intelligence Platform
ESTATECH
This project develops an AI-first Estatech platform that integrates property data, cadastral records, transactions, zoning regulations, and financial signals into a unified intelligence system. Grounded in research on spatial analytics, econometrics, and graph-based valuation models (arXiv: urban AI, property analytics), the platform enables transparent valuation, market monitoring, and risk assessment. Designed for governments, municipalities, banks, and institutional investors, the system supports land registries, urban planning, taxation, mortgage risk analysis, and national housing policy -operating on sovereign infrastructure.
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High-Assurance Data Security & Privacy Fabric
HIMOYAT
This project develops a high-assurance data security architecture for governments and regulated industries, grounded in research on secure enclaves, cryptographic isolation, zero-trust systems, and confidential computing (arXiv: trusted execution, privacy-preserving ML). The platform enables sensitive data to be processed, shared, and analyzed without exposing raw information.
Designed for sovereign deployment, it supports classified workloads, cross-agency collaboration, and compliance with national data protection laws while maintaining operational efficiency and auditability.
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AI Systems for National Health and Resilience
SIHATAI
This project applies AI and data science to national healthcare and biosecurity challenges, integrating clinical data, population statistics, genomics metadata, and public health signals. Based on applied research in epidemiological modeling, health informatics, and causal analysis (arXiv: digital health, population AI), the system supports early warning, capacity planning, and outcome optimization. Deployed on sovereign infrastructure, it enables ministries of health and national institutions to operate resilient, privacy-preserving health intelligence systems without reliance on external platforms.
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Press
Memorandum to Accelerate National AI
Infrastructure in Uzbekistan
December 13, 2025
MIRYAS AI has officially entered a strategic memorandum of cooperation with Shanghai LinkWise to bring modular AI infrastructure services to Central Asia. Under this agreement, LinkWise will provide MIRYAS AI with access to its Modular Intelligence Computing Centers (MICC) and Data Intelligence Centers (DIC), supporting high-performance compute and intelligent data infrastructure for sovereign AI -first National search engine and web browser platform deployment.
MIRYAS AI and Ment Tech Labs Seal Exclusive Five-Year Partnership
December 7, 2025
MIRYAS AI has signed an exclusive five-year partnership agreement with Ment Tech Labs, securing regional deployment rights for their next-generation fintech and digital infrastructure products across Central Asia. Under this strategic alliance, MIRYAS AI will lead the rollout and localization of Ment Tech’s modular banking, digital identity, AI-native compliance, and Web3 infrastructure suites. The agreement grants MIRYAS AI exclusive commercial and governmental access to Ment Tech’s full product stack.
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