Generative AI development services

We immerse ourselves in the dynamics of your enterprise, aligning with its vision and intricacies. Once we’re synced, we validate assumptions through a proof of concept and create a roadmap. Our eyes are always on potential ROI, ensuring that our AI strategies translate into tangible benefits for you.

Our ML engineers have an excellent grasp of diffusion models, generative adversarial networks (GANs), and transformers. With this expertise, ITRex’s generative AI developers can assist you in fine-tuning open-source and commercial models for broad or narrowly defined tasks. Should you decide to go fully custom, we’re up for the challenge, too!

Besides generative AI development, ITRex lends a helping hand in integrating proprietary and off-the-shelf solutions into your company’s IT systems and workflows—either as is or with additional customizations. When doing so, we’ll make sure to onboard your staff on Gen AI and validate that your mission-critical processes remain undisrupted.

ITRex is a full-stack generative AI development company with hands-on experience building technology solutions—from scalable back-end infrastructures to sleek user interfaces—for healthcare, pharma, retail, and other industries. Whether you need a Gen AI-based expert system, a prescriptive analytics solution, or a customer support chatbot, we’re here to help.

To ensure that Gen AI systems not only meet but also exceed your expectations, our generative AI development company provides continuous model optimization services. ITRex will help you boost the models’ efficiency and throughput, minimize resource usage, detect areas for improvement through rigorous testing, implement ethical guidelines, and more!

ITRex’s generative AI development services include post-launch maintenance—a set of activities aimed at cementing your competitive edge in the long run. Whether you seek to retrain Gen AI models on fresh data, tweak hyperparameters for peak performance, revamp the model’s architecture, or keep it compliant, we’re always on the lookout.

• ○ Gen AI-based chatbots for symptom checking
• ○ Gen AI diagnostic support systems for real-time patient data interpretation
• ○ Generative AI models for creating personalized treatment plans
• ○ Gen AI solutions for medical image enhancement
• ○ Patient engagement and education solutions

• ○ Generative AI solutions for drug molecule design
• ○ Clinical data synthesis tools
• ○ Gen AI models for pharmaceutical market forecasting
• ○ Systems for regulatory document generation
• ○ Gen AI solutions for personalized treatment pathways

• ○ Gen AI tools for synthetic genome design
• ○ Protein design and simulation tools for drug discovery
• ○ Models for metabolic pathway design
• ○ Generative AI solutions for drug combination synthesis
• ○ Gen AI-enhanced biobanks for data-driven genetic research

• ○ Gen AI-powered solutions for demand forecasting
• ○ Digital twin technology for real-time warehouse monitoring and optimization
• ○ Gen AI-based predictive maintenance for fleet vehicles and equipment
• ○ Gen AI-driven tools for real-time tracking and cargo monitoring
• ○ Smart route optimization and fleet management solutions

• ○ Gen AI for designing novel biological parts and system
• ○ Models for performing ecological simulations
• ○ Gen AI solutions for genetic and genomic data analysis
• ○ Clinical trial scenario modeling tools
• ○ Platforms for scientific data analysis

• ○ Instruments for trend and consumer behavior prediction
• ○ Gen AI solutions for marketing content creation
• ○ Tools for customer interaction simulations
• ○ Gen AI-infused inventory management systems
• ○ Intelligent store layout and display design solutions

• ○ Generative AI engines for content creation
• ○ Music composition tools
• ○ Dynamic content personalization engines
• ○ Gen AI solutions for CGI environment design
• ○ Virtual reality content generators

• ○ Generative AI models for predicting energy consumption patterns
• ○ Automation solutions for demand-response systems and distributed energy resources
• ○ Gen AI-powered anomaly detection tools
• ○ Virtual models of energy assets for real-time monitoring and simulation
• ○ Gen AI tools for automated report generation

• ○ PyTorch, PyTorch Lightning
• ○ TensorFlow, TensorFlow Lite
• ○ MXNet
• ○ ONNX
• ○ CoreML
• ○ JAX
• ○ PaddlePaddle
• ○ Keras

• ○ Scikit-learn
• ○ SciPy
• ○ Torchvision
• ○ TensorBoard
• ○ Plotly
• ○ OpenCV
• ○ tf-slim
• ○ Tensor2tensor
• ○ Hugging Face Transformers

• ○ Supervised learning
• ○ Unsupervised learnin
• ○ Semi-supervised learning
• ○ Few-shot learning
• ○ Reinforcement learning from human feedback (RLHF)
• ○ Incremental learning
• ○ Metric learning

• ○ GANs: DCGAN, CycleGAN, StyleGAN
• ○ VAEs: Beta-VAE, Conditional VAE, NVAE
• ○ Autoregressive models: PixelRNN, WaveNet
• ○ Vision transformer (ViT)

• ○ TensorRT
• ○ CoreML

• ○ Azure OpenAI
• ○ GCP Vertex, GCP NLP, GCP Vision, GCP autoML
• ○ AWS Textract, AWS Rekognition

• ○ Generative adversarial networks (GANs)
• ○ Diffusion models: Stable Diffusion, DDPM, Improved Diffusion
• ○ Transformer models: GPT, LLaMa, FLAN-T5, LaMDA, Wu-Dao, BERT, Mistral

• ○ VGG
• ○ ResNet
• ○ Inception
• ○ EfficientNet
• ○ MobileNet