Supporting your growth in the GenAI space.

Researchers and engineers building the models that power GenAI innovation.

• Large Language Models (LLMs)
• Generative Adversarial Networks (GANs)
• Code Generation
• Diffusion Models
• Variational Autoencoders (VAEs)
• Few-Shot and Zero-Shot Generation

Specialists optimising the compute stack behind GenAI workflows.

• Neural Radiance Fields (NeRFs)
• High-Performance Computing
• Multimodal Generation (Text-to-Image, Text-to-Video)

Talent enabling smarter, faster, and more human-like signal generation.

• Speech and Audio Generation
• Adversarial AI for Signal Processing
• Music and Sound Synthesis
• AI-Generated Images and Videos
• Image-to-Image Translation

Engineers focused on scale, speed and quality across GenAI pipelines.

• Knowledge Distillation in Generative AI
• Model Optimisation and Fine-Tuning
• Evaluation Metrics and Benchmarks for GenAI

AI specialists applying generative methods to real-world robotics.

• Reinforcement Learning for Generation
• Generative AI for Autonomous Agents
• Adaptive Generative Models for Control Systems

Experts building models for molecular generation and healthcare breakthroughs.

• AI-Generated Drug Discovery Models
• Single-Cell Omics Data Generation
• Generative AI for Protein Folding

Building the voices, sounds, and responses that define human-machine interaction.

• Text-to-Speech and Voice Cloning
• AI-Generated Music and Sound Design
• Emotion-Aware Speech Generation