Generative AI Model Development

We develop domain-specific Generative AI models tailored to your industry, driving impactful outcomes and aligning with your business goals.

Tailored AI Model Benefits for Your Business Needs

Develop customized Generative AI models that solve specific challenges, unlock new possibilities, and enhance decision-making.

Improved Operational Efficiency

Business Relevance

Faster Issue Resolution

Hyper-personalization Features

Technical Capabilities

Scoping & Industry Understanding
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We carry out comprehensive scoping to understand your industry landscape and how Generative AI can add value to it. We conduct detailed analysis, comprehending your operational processes, challenges, and goals, laying the groundwork for Generative AI model development.
Business Problems Analysis
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Central to our Generative AI development process is a focused examination of your business problems and objectives. We conduct a rigorous analysis, aiming to discern the specific challenges and goals that define your operational landscape, serving as a critical foundation for the future.

GenAI Model Fine-tuning
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Veraqor's expertise with the latest Generative AI models, such as GPT, LLaMa, BERT, PaLM, and others, makes us stand out. We tailor these models to seamlessly align with your business needs, ensuring optimal performance and output, allowing us to work with your proprietary data further to enhance its impact, providing a customized solution.
Thorough Testing for Precision
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All our Generative AI solutions and models undergo careful evaluation to validate their precision, reliability, and overall performance. Through scenario simulations, stress testing, and validation against diverse datasets, we ensure the robustness of the model in real-world scenarios.
Implementation and Integration
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The final stage encompasses the implementation and integration of the fine-tuned GenAI model into your operational framework. We ensure a smooth transition from development to practical application, allowing you to harness the full potential of the Generative AI solution in enhancing your business processes and outcomes.
Solution Diagram

Industry Trends

of AI researchers are concerned about bias in training data, driving a trend towards synthetic data generation for mitigating bias and ethical issues.
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report reveals that 72% of surveyed developers collaborate on generative AI model development.
2024
increase is noticed in open-source libraries and user-friendly tools for generative AI model development compared to previous years.
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Partners in Progress

Growth Recognition

See How Organizations Are Innovating

Situation

Since 1884, Mitsubishi Heavy Industries (MHI) has provided engineering and manufacturing services across various sectors, including energy, defense, and space. MHI’s leadership aimed for carbon neutrality by 2040, focusing on energy transition, hydrogen ecosystems, and smart infrastructure and needed an intelligent digital solution for it.

Solution

Mitsubishi Heavy Industries built a customized AI model for its business use case. MHI's ΣSynX brand and TOMONI® integrated advanced AI and digital tools into their systems, promoting autonomous, intelligent solutions. TOMONI® enhances power plant operations through remote monitoring, improved functionality, and smart maintenance. Moreover, TOMONI TALK with ChatGPT leverages generative AI for efficient internal operations and digital transformation.

Impact​

MHI's initiatives have improved operational efficiency and facilitated smart infrastructure development. Their AI solutions, particularly TOMONI®, enhance customer engagement and operational effectiveness. The deployment of TOMONI TALK with ChatGPT has increased productivity and fostered a culture of digital innovation within the company and enabled the company to achieve its goal of carbon neutrality.

Situation

Unity, known for its 3D game development platform, struggled with the extensive volume of documentation and complex functionalities, making it challenging for developers to find solutions quickly and efficiently.

Solution

Unity utilized Microsoft Azure OpenAI Service to create Muse Chat, a customized AI assistant embedded within the Unity Engine, leveraging a custom model. Muse Chat leverages GPT-4 and GPT-3.5 Turbo models to offer real-time, project-specific coding solutions and guidance. This AI-driven tool is designed to enhance the developer experience by providing instant, accurate answers and troubleshooting support tailored to individual project needs.

Impact​

Muse Chat significantly improved developer productivity by reducing the time spent on searching through documentation and community forums. It allowed developers to focus more on creative aspects and game design by providing reliable, detailed, and context-specific assistance. This integration not only streamlined the development process but also set Unity apart as a leader in incorporating AI into its development ecosystem, fostering greater innovation and efficiency in game creation.

Situation

Qatar's Ministry of Communications and Information Technology (MCIT) faced the challenge of transforming the nation into the Gulf region's digital hub. This required digitizing government operations, enhancing data security, and improving operational efficiency, all while preparing for the 2022 FIFA World Cup and aligning with Qatar's Vision 2030.

Solution

To accomplish this mammoth task, MCIT partnered with Microsoft Azure to establish local data centers, ensuring compliance with data residency laws and scalability. Over 70 public entities migrated to Azure, supported by the Voyager Program for data sovereignty. Security measures included Azure landing zones and Microsoft Sentinel. During the World Cup, cloud technologies facilitated crowd control, transportation management, and AI-driven visitor inquiries.

Impact​

MCIT's cloud adoption led to USD7.3 million in cost savings, with projected annual savings of USD26.4 million over five years. The transformation improved operational efficiency, reduced paper usage, and supported sustainability. This shift fostered a positive mindset towards cloud adoption, enabling Qatar to achieve its Vision 2030. The partnership with Microsoft evolved, enhancing public services and creating a resilient digital ecosystem.

Generating Business Value Across Functions

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Supply Chain Optimization
Apply Generative AI to optimize supply chain operations by forecasting demand, identifying potential bottlenecks, and recommending optimal inventory levels. By integrating with IoT sensors and ERP systems, AI-driven insights enable proactive decision-making, reducing costs and enhancing supply chain resilience.
Legal Document Automation and Analysis
Legal Document Automation and Analysis
Utilize Generative AI to automate the drafting and analysis of legal documents. By understanding legal language and context, AI systems can generate contracts, perform due diligence reviews, and extract key insights from legal texts, improving efficiency and accuracy in legal processes.
Predictive Maintenance in Healthcare
Predictive Maintenance in Healthcare Equipment
Implement Generative AI to monitor medical equipment performance in real-time. By analyzing historical data and current sensor readings, predictive maintenance schedules can be generated, minimizing equipment downtime and ensuring continuous patient care.
Dynamic Personalized Marketing
Dynamic Personalized Marketing
Leverage Generative AI’s hyper-personalization capabilities to analyze customer behavior and preferences in real-time. Develop targeted marketing campaigns that adapt content and offers dynamically, resulting in higher engagement rates and improved ROI for marketing efforts.
Customer Service Automation
Enhanced Customer Service Automation
Implement Generative AI-powered chatbots equipped with natural language understanding to handle customer queries promptly and accurately. By integrating with existing CRM systems, these bots provide personalized responses, improving customer satisfaction and retention rates while reducing service resolution times.
Optimized Manufacturing Operations
Optimized Manufacturing Operations
Utilize Generative AI to analyze production data and optimize manufacturing processes in real-time. By predicting equipment failures and optimizing resource allocation, operational efficiency is significantly improved, leading to reduced costs and enhanced productivity.