AI Development
We engineer production-grade AI systems that solve real operational bottlenecks. Rather than building fragile prompt wrappers, we implement resilient retrieval-augmented generation (RAG), vector similarity search, deterministic business guards, and automated evaluation frameworks.
- Hybrid retrieval-augmented generation (RAG) combining dense embeddings with BM25 lexical search
- High-speed semantic caching with Redis HNSW cutting LLM inference costs and latency by up to 80%
- Deterministic guardrails, structured JSON output validation, and automated safety regression testing
- Seamless model routing across OpenAI GPT, Anthropic Claude, and Google Gemini API engines