Legal Incentives

Design and Development of an Intelligent Engine for Monitoring, Anomaly Detection, and Predictive Analysis of Large-Scale Textual Data in the Petrochemical Market, Based on Fine-Tuned Native Language Models and RAG Architecture.

Design of an intelligent engine for monitoring, anomaly detection, and predictive analysis of petrochemical market textual data using fine-tuned native language models and a RAG architecture, with the aim of transforming unstructured information into analyzable data and enabling faster decision-making.

Ahdaf Investment Company2026
Overview
  1. 1

    The challenge

    Diversity of textual formats, the complexity of specialized petrochemical terminology, high data volumes and the need for real-time processing, limited access to data sources and crawler blocking, as well as multilingual requirements (Persian/English).

  2. 2

    Our approach

    Fine-tuning a language model on industry-specific data, utilizing a RAG architecture for semantic search, automated data crawling and aggregation, knowledge graph construction, and development of an analytical dashboard with real-time alerts.

  3. 3

    The result

    The project deliverables include a web-based dashboard, a proprietary native language model, a structured database (PetroDB), and technical documentation for obtaining knowledge-based company certification and R&D tax credits.

Back to projects
PreviousDesign and Fabrication of an Industrial-Scale Waste Heat Recovery Boiler for Steam Generation Using Exhaust Heat from the Bitumen Plant’s Excess-Gas Burner.NextDesign of Knowledge-Based Polyethylene and Polypropylene Compound and Masterbatch Formulations for the Production of Higher Value-Added Products Along the Value Chain

Related case studies

Legal Incentives2026

Design of the Formulation and Development of a Pilot-Scale Production Process for Magnetoactive Nanoceramic Coatings to Control the Nucleation and Growth of Coke Deposits in Process Equipment of Bitumen-Producing Refineries

Jey Oil Refining Company

Design and development of magnetoactive nanoceramic coatings to inhibit the nucleation and growth of coke deposits in process equipment used in bitumen-producing refineries. Through surface engineering, these coatings prevent the initial adhesion of coke, thereby enhancing equipment efficiency and extending its service life.

Outcome
View case study
Legal Incentives2026

Design and manufacture of a turbo-compressor for supplying air to the combustion chamber and providing compressed air for the plant.

Jey Oil Refining Company

Design and manufacture of an industrial turbo-compressor to supply combustion chamber air and plant compressed air by utilizing the heat generated from the combustion of excess gas. The key innovation is the elimination of the power turbine rotor and the splitting of the hot gas flow upstream of the gas-generator turbine inlet, which reduces costs while increasing aerodynamic loading.

Outcome
View case study
Legal Incentives2026

Design Upgrade of the Excess-Air Burner Air Preheater Heat Exchanger to Withstand a Pressure of 3 bar

Jey Oil Refining Company

Design and fabrication of a compact heat exchanger for preheating the compressed air supplied to the oxidation reactor from 90°C to 200°C, using direct flame heat and combustion products from excess gas. The heat exchanger is installed in the excess-gas burner wall and fabricated from A516 steel plate with minimized welding requirements.

Outcome
View case study
Design and Development of an Intelligent Engine for Monitoring, Anomaly Detection, and Predictive Analysis of Large-Scale Textual Data in the Petrochemical Market, Based on Fine-Tuned Native Language Models and RAG Architecture. | Novaco