We understand the problem, model it,، and test it before execution.
We turn complex problems into testable models — from legal intelligence and smart maintenance to media analysis and policy simulation. Our output is not a report; it is an operational system.
We do not stop at raw data; we build a model of the world and reason through it.
The Nihan engine has three layers: strategic problem framing, computational modeling, and operational systems that make decisions observable and testable before execution.
Problem framing and strategic design
V1.0Systems analysis, policy research, legal reasoning, economics, and stakeholder mapping keep real-world problems from being flattened into narrow technical tasks.
Modeling and computational analysis
V1.0Agent-based models, system dynamics, graphs, NLP, RAG, narrative analysis, and weak-signal detection turn ambiguity into computable structure.
Products, dashboards, and infrastructure
V1.0Data pipelines, decision dashboards, scalable software architecture, and APIs move the model from report to operational use.
Validation and uncertainty control
V1.0Calibration, back-testing, scenario design, and uncertainty quantification make analysis defensible, not merely persuasive.
Four families of decision systems
The outputs differ, but they share one engine: data, models, scenarios, and operational products.
Text, legal, and institutional knowledge intelligence
RAG assistants, semantic search, grounded answers, specialized document analysis, and regulatory monitoring for environments where accuracy and citation matter.
Media, narrative, and public-sentiment intelligence
Sentiment analysis, narrative warfare, bias detection, fact-checking, and information-spread modeling for organisations, media outlets, and research teams.
Digital twins and policy simulation
Virtual governance labs for population, economy, energy, and social behavior using ABM, system dynamics, scenarios, and reinforcement learning.
Industrial, energy, and ecosystem intelligence
Smart maintenance systems, ecosystem analysis, microgrids, supply chains, logistics blockchain, and industrial decision dashboards.
Think of the company as a portfolio of intelligence systems, not a single service.
The public layer builds trust and market access; deeper layers open for institutions, decision-makers, investors, and strategic partners.
Experience operational capability directly.
Three systems from Nihan's portfolio are ready to explore with real or sample data. From technology foresight to narrative analysis and policy simulation — see the product before any conversation.
Daftaryarche
LiveA legal and notarial RAG assistant for grounded answers to specialized questions.
Technology Radar
ProposedA foresight demo analyzing papers, patents, growth signals, and ecosystem actors.
Narrative Watch
ProposedA media demo for coverage comparison, bias, sentiment, and narrative evolution.
Policy Simulator
ProposedA digital lab for testing policies before implementation — ABM, Stock-Flow, scenario comparison, and digital twin.
Insights
Three ways to start
Custom project
Problem definition, architecture design, system development, and operational delivery for organizations with a defined challenge.
Rapid pilot
A 6-12 week proof of concept to test capability, data quality, technical risk, and decision value.
Strategic advisory
Problem analysis, roadmap design, ecosystem mapping, and knowledge transfer for teams building internal capability.