Integrating intelligent cognitive patterns into workflow interfaces. We develop production LLM pipelines, semantic agent states, vector search engines, and real-time generation features optimized for latency and token cost.
Evaluating LLMs vs. custom models, prompt token efficiency, and response structures.
Configuring embedding pipelines, vector indexing (pgvector/Pinecone), and hybrid searches.
Structuring multi-agent decisions, tooling calls, fallback circuits, and validation.
Implementing response streaming, caching token layers, and telemetry logs.
Speak directly with our technical coordinator to configure your project specs and timelines.
