Generative AI consulting services

As part of our generative AI consulting services, ITRex will help your company create a preliminary version of a Gen AI application. This proof of concept aims to test multiple hypotheses, assess their technical feasibility, select the best approach, and demonstrate the practical value of generative AI to your company’s stakeholders.

Our generative AI consulting services are built around developing Gen AI strategies and project roadmaps. We help clients identify promising Gen AI use cases and opportunities, prioritize use cases, devise phased roadmaps for adopting and scaling generative AI company wide, and educate your personnel on the novel technology systems.

Our generative AI consulting company will assist you with a comprehensive evaluation of Gen AI development, deployment, and maintenance expenses against the anticipated benefits like efficiency gains, increased revenue, or enhanced customer satisfaction.

After a thorough examination of your business objectives and current IT infrastructure, ITRex’s generative AI consultants will recommend the best open-source or proprietary models, frameworks, and infrastructure for your project. When doing so, we consider factors like scalability, performance, security, and possible technology constraints.

A dedicated generative AI consultant will help your company identify and address biases in Gen AI models and training data. This way, we can ensure that generative AI applications are created and used responsibly, with fairness, transparency, and adherence to ethical standards and regulations.

We provide generative AI consulting services to companies that have already integrated this cutting-edge technology into their IT infrastructure. ITRex can help you optimize cloud computing costs, choose servers for an on-premises deployment, or improve the output quality of Gen AI models.

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  Use virtual patient models for risk-free clinical trials and research
• ○ Tailor treatment plans to individual patients’ needs
• ○ Improve the quality of medical images and generate synthetic images for model training
• ○ Utilize patient data to forecast health trends and outbreaks
• ○ Provide medical advice and boost patient engagement using Gen AI chatbots

• ○ Reduce the time and costs of drug discovery
• ○ Personalize treatment plans based on patients’ genomic data and health records
• ○ Speed up the design and execution of clinical trials
• ○ Accelerate laboratory research while minimizing human errors
• ○ Ensure compliance with regulatory standards, including GMP, GCP, FDA, and EMA

• ○ Facilitate the discovery of new drugs and therapeutic molecules
• ○ Improve understanding of disease mechanisms by predicting protein structures
• ○ Reimagine the design of biological parts, devices, and systems
• ○ Revamp CRISPR gene editing and tissue engineering practices
• ○ Enhance plant genetics for higher yield and pest resistance

• ○ Assess drug efficacy and side effects early in the development process
• ○ Expedite research and data analysis
• ○ Improve treatment outcomes through precision medicine
• ○ Produce synthetic data for algorithm training and simulation
• ○ Automate laboratory and clinical workflows

• ○ Make personalized promotions for specific customer segments
• ○ Modify product designs based on customer feedback
• ○ Forecast demand by analyzing historical and real-time data and market trends
• ○ Refine inventory management practices
• ○ Boost sales by optimizing store layouts

• ○ Automate energy distribution and enhance grid efficiency
• ○ Improve load balancing and reduce energy waste
• ○ Simulate potential faults and prescribe proactive solutions
• ○ Improve energy storage and grid resilience
• ○ Enhance green energy adoption and carbon footprint reduction

• ○ Design new products considering your objectives and constraints
• ○ Anticipate equipment failures before they occur
• ○ Anticipate disruptions and optimize inventory levels by simulating complex supply chains
• ○ Identify and resolve issues during the manufacturing process
• ○ Monitor and optimize energy consumption throughout manufacturing operations

• ○ Improve decision-making capacity and reduce order response time
• ○ Optimize delivery routes based on schedules, traffic patterns, and weather condition
• ○ Reduce fleet downtime with predictive and prescriptive maintenance
• ○ Maximize warehouse space utilization
• ○ Maintain optimum inventory levels depending on sales data and external factors

• ○ Identify transaction anomalies
• ○ Predict and execute trades using intelligent algorithms
• ○ Personalize financial products and services
• ○ Assess clients’ creditworthiness with greater precision
• ○ Enhance or fully automate customer support and administrative tasks