Generative AI Development
Image generation, text generation and automated assistants, wired into a product rather than a demo.
What this covers
- Diffusion pipelines
- Speech and voice synthesis
- Synthetic data generation
- LLM orchestration
What we build on
Model choice is a dependency, not an identity. We keep the provider swappable and evaluate before switching.
- Claude
- GPT
- Gemini
- Llama
- Whisper
- Embeddings
- Vector search
- RAG
- Function calling
- Evals
Where this is heading
Generation is moving on-device and into real time. We keep the pipeline provider-agnostic so a cheaper or faster model can be dropped in without touching the product around it.