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| title: README | |
| emoji: 💻 | |
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| license: apache-2.0 | |
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| # Gain Energy 💡 | |
| **Revolutionizing the Oil & Gas Industry with Advanced AI & Quantum Computing Solutions** | |
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| ## 🌟 About Us | |
| Gain Energy is at the forefront of integrating cutting-edge **AI and quantum computing** technologies into the **oil and gas industry**. Our mission is to optimize energy operations, enhance technical decision-making, and drive sustainable innovation through **state-of-the-art AI-powered solutions**. | |
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| ## 🚀 Our AI & Quantum Solutions | |
| ### **UPSTRIMA AI Suite** | |
| Gain Energy’s **UPSTRIMA AI Suite** provides comprehensive AI-driven tools for **engineers, drilling specialists, and energy enterprises**. | |
| - **Personal AI Assistant** – Supports engineers with **proprietary data, workflows, manuals, and calculations**. | |
| - **Enterprise AI** – Facilitates **collaboration, knowledge sharing, and AI-powered workflows** for organizations. | |
| ### **Pragmatic AI Agents for Oil & Gas Engineering** | |
| Our **pragmatic AI agents** are specialized to assist in **engineering automation, real-time decision-making, and field operations support**. | |
| ### **OGAI Large Language Model (LLM) Family** | |
| Our proprietary **OGAI LLMs** are purpose-built for **oil and gas industry applications**, fine-tuned on **technical datasets, engineering principles, and domain-specific knowledge**. | |
| | **Model** | **Use Case** | | |
| |-----------------|-------------| | |
| | **OGAI 3.1 Engineer** | **Customized LLM framework tailored for oil and gas engineering complexities** | | |
| | **OGAI-Quantum** | **Hybrid Quantum-Classical AI for Reservoir, Seismic, and Production Optimization** | | |
| | **OGAI-R1 (Reasoning)** | **Advanced AI reasoning for oil & gas problem-solving, decision-making, and complex engineering logic** | | |
| | **OGMOE** | **Mixture of Experts (MoE) for Drilling Optimization** | | |
| | **OGAI-8x22B** | **High-Performance LLM for Engineering Reasoning & Knowledge Retrieval** | | |
| | **OGAI-8x7B** | **RAG-Optimized AI for Oil & Gas Workflows** | | |
| | **OGAI-STEM-7B** | **Precision AI for Scientific & Engineering Computations in Oil & Gas** | | |
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| ## 🔬 **Quantum Computing & AI Integration** | |
| **OGAI-Quantum** is Gain Energy’s next-generation **hybrid quantum-classical AI** designed to solve **complex reservoir modeling, seismic data processing, and real-time production optimization**. | |
| - **Quantum Algorithms** – Utilizes **Qiskit, PennyLane, and hybrid variational quantum circuits (VQC)**. | |
| - **Quantum Reservoir Simulation** – Superposition-based **multi-scenario subsurface modeling**. | |
| - **Seismic Data Enhancement** – Quantum-assisted **high-resolution seismic imaging**. | |
| - **Well Placement Optimization** – Quantum annealing for optimal drilling locations. | |
| Gain Energy’s **quantum LLMs** leverage **Upstrima’s WebAssembly-powered Quantum Extension**, enabling engineers to **simulate, analyze, and optimize oil and gas workflows** using quantum-enhanced machine learning. | |
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| ## 🔒 Security & Compliance | |
| We follow best-in-class security and compliance practices to **protect user data and proprietary AI models**. | |
| - **Compliance**: GDPR, HIPAA, ISO 27001, SOC 2 | |
| - **Data Protection**: AES-256 encryption for **data at rest**, TLS for **data in transit** | |
| - **Access Control**: Role-Based Access Control (RBAC), Single Sign-On (SSO), Multi-Factor Authentication (MFA) | |
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| ## 🌐 Connect With Us | |
| - **Website**: [https://gain.energy](https://gain.energy) | |
| - **LinkedIn**: [Gain Energy LinkedIn](https://www.linkedin.com/company/gain-energy) | |
| - **Contact**: [[email protected]](mailto:[email protected]) | |
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| ## 📈 Our Vision | |
| At Gain Energy, we believe in **harnessing AI and quantum computing** to create **sustainable, efficient energy solutions**. Our vision is to lead the **digital transformation of the oil and gas industry**, ensuring **operational excellence, cost efficiency, and environmental sustainability**. | |
| We are committed to **pioneering hybrid AI-quantum models** that **enhance engineering workflows, optimize energy operations, and accelerate innovation**. | |
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| ## © 2025 Gain.Energy |