AI Development
Predictive models, data pipelines and analytics engines, built into the systems you already run.
What this covers
- Predictive analytics
- Custom NLP engines
- RAG and vector workloads
- Model fine-tuning
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
Models are becoming a dependency like any other, and they change every few months. We build the evaluation and swap path first, so upgrading a model is a routine release rather than a rewrite.