Decision Intelligence for Complex Decisions Under Uncertainty
DISARVI is a research and technology venture developing Human-in-the-Loop, uncertainty-aware Decision Intelligence systems.
By integrating data, evidence reliability, risk assessment, domain knowledge, and human judgement, we aim to support decisions that are explainable, adaptive, and actionable across complex environments.
Beyond Intelligence: From Cognition to Wisdom
Intelligence identifies patterns. Cognition builds understanding. Wisdom guides action.
At DISARVI, we develop modular Decision Intelligence architectures that connect evidence, human knowledge, and computational reasoning to support adaptive decisions under uncertainty.
Our approach goes beyond understanding the present. It explores possible futures, evaluates the consequences of alternative actions, and supports decisions that evolve as new evidence emerges.
Beginning with industrial investment decisions and interconnected supply chains, our research and technology roadmap extends toward other decision-intensive domains, guided by domain expertise, rigorous validation, and responsible implementation.
From Data to Information. From Knowledge to Wisdom.
Beyond Prediction. Toward Better Decisions.
Predictions alone do not determine what action should be taken.
Our approach combines computational reasoning with human expertise to assess evidence quality, represent uncertainty, evaluate risks, and support informed decisions.
By integrating feedback and new information, these architectures are designed to support transparent, adaptable decision processes rather than static recommendations.
Featured Projects
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Uncertainty-Aware Decision Intelligence Platform
An interactive decision intelligence prototype that places uncertainty at the core of investment prioritization.
U-DIP integrates evidence quality, risk, sustainability, and expert judgement to support more informed, explainable, and resilient investment decisions.
U-DIP
02
Cognitive Risk Intelligence Ecosystem
A research-driven framework for risk-aware decision intelligence across interconnected supply chains.
COGNIRISK combines trusted transaction data, digital threads, graph-based intelligence, and expert knowledge to support explainable decisions in complex networks and organizational environments.
04
Cognitive Scheduling & Decision Intelligence for Cloud Manufacturing
An emerging research initiative focused on intelligent, multi-objective scheduling and resource allocation in cloud-based smart factory environments.
SCHUGNIA explores the integration of expert knowledge, computational optimization, and predictive intelligence to support feasible production schedules, efficient coordination of physical and cloud resources, and adaptive decision-making under dynamic operational conditions.
Status: Research in Progress
COGNIRISK
SCHUGNIA
03
Human-Centered Decision Intelligence Platform
An emerging decision intelligence architecture designed to keep human expertise, judgement, and oversight at the center of AI-assisted decision processes.
H-CIDI explores the integration of domain knowledge, adaptive reasoning, and human guidance to support responsible decision intelligence across diverse applications.
H-CIDI
From Innovative Ideas to Intelligent Systems.
DISARVI combines applied research, AI engineering, and specialized innovation support through three complementary service areas.
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AI Product Innovation & Development
Decision Intelligence Integration
Innovation & Technology Application Support
Designing and developing new intelligent products, from concept and system architecture to prototyping and technical validation.
We Don't Replace Your Systems. We Make Them Decision-Intelligent.
Enhancing existing software and digital platforms with uncertainty-aware reasoning, risk intelligence, and explainable decision-support capabilities.
We provide technical documentation and application-preparation support for inventors, researchers, and technology entrepreneurs.
The Architect
Narges Moghaddasi
Founder & CEO | Principal Decision Intelligence Systems Architect
Narges Moghaddasi leads DISARVI's research direction and Decision Intelligence architecture.
Her work focuses on uncertainty modelling, evidence reliability, risk-aware reasoning, and Human-in-the-Loop AI systems that transform complex information and expert knowledge into explainable and actionable decisions.
The Architect
Mohammad Zeinalialiabadi
Co-Founder & CTO | Platform Engineering Lead
Mohammad Zeinalialiabadi leads platform engineering and technical integration at DISARVI, drawing on his background in electronics engineering, applied R&D, and technology development.
His work focuses on transforming research-stage Decision Intelligence architectures into scalable, integrated, and deployable software platforms.
Research Framework
Foundations for responsible, adaptive, and explainable Decision Intelligence across complex domains.
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Human-in-the-Loop Intelligence
Uncertainty-Aware Reasoning
Knowledge-Driven Decision Intelligence
Integrating human expertise and computational intelligence to support informed, explainable, and accountable decisions.
Explicitly assessing uncertainty, evidence reliability, and risk to support decisions under incomplete and changing information.
Integrating structured domain knowledge, adaptive learning, and intelligent reasoning to support decisions across diverse applications.
Exploring Complex Decisions Together
DISARVI welcomes opportunities for interdisciplinary research, technology collaboration, and pilot validation.
We are interested in working with researchers, industrial partners, and organizations facing complex decisions where uncertainty, risk, and human judgement matter.