Generative AI Model Development

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

$128B

is the projected value of the generative AI market by the end of 2024.

30%

of generative AI users can clearly identify its practical applications.

70%

of Copilot users report significant productivity improvements.

What You Can Do

Overcoming lack of industry-specific insights to drive informed decision-making.

Tailored Generative AI models focusing on industry-specific challenges and trends can provide actionable insights that empower decision-makers. This ensures strategies are data-driven and relevant, enhancing the effectiveness of business initiatives.

Addressing inefficient operational processes that hinder productivity and growth.

Generative AI solutions can identify bottlenecks and streamline workflows, enabling organizations to operate more efficiently. This optimization saves time and allows teams to focus on high-value tasks, ultimately driving growth and enhancing overall performance.

Resolving slow issue resolution to enhance customer satisfaction.

Advanced AI capabilities enable teams to quickly identify and address customer issues, significantly reducing resolution times. This responsiveness fosters a positive customer experience, increases loyalty, and builds a strong reputation.

Improving generic customer interactions to boost engagement.

Employing AI-driven personalization techniques can transform standard interactions into tailored experiences that resonate with customers. This enhancement leads to higher engagement rates, improved retention, and a more loyal customer base.

Aligning business goals with technology to foster strategic coherence.

Comprehensive analyses can ensure that technological investments align with strategic objectives. This alignment enhances operational efficiency and helps prioritize initiatives that drive long-term success, ultimately positioning businesses for sustainable growth.

Mitigating concerns about AI model reliability to ensure consistent performance.

Rigorous testing and validation of AI models can ensure reliability and accuracy in outputs. This commitment to quality reduces apprehensions regarding AI performance, allowing organizations to leverage AI solutions confidently in critical business functions.

Technical Capabilities

Our Partnerships

PRimo-RPA-white

Growth Recognition

CL-KSA
USA

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

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.
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.
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.
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.
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.
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.