AI INTEGRATION & MVP DEVELOPMENT
LLM Application Development
Production-grade integrations with Claude, GPT, and open-source language models built for scale.
We build production-grade applications that integrate large language models — not prototypes, but systems that are observable, cost-controlled, and reliable under real-world usage conditions.
This covers retrieval-augmented generation (RAG) pipelines, document analysis tools, structured extraction systems, intelligent automation agents, and customer-facing AI features. We work with Claude, GPT-4o, Mistral, and open-source models depending on your requirements, and we design prompt architecture, context management, and evaluation frameworks that make AI behavior consistent and auditable.
Deploying LLM-integrated systems at scale introduces challenges that don't appear in demos: latency, cost management, failure modes, and output reliability. We build for those realities from the start.
This covers retrieval-augmented generation (RAG) pipelines, document analysis tools, structured extraction systems, intelligent automation agents, and customer-facing AI features. We work with Claude, GPT-4o, Mistral, and open-source models depending on your requirements, and we design prompt architecture, context management, and evaluation frameworks that make AI behavior consistent and auditable.
Deploying LLM-integrated systems at scale introduces challenges that don't appear in demos: latency, cost management, failure modes, and output reliability. We build for those realities from the start.
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Computer vision, NLP, audio/video annotation, and structured training datasets for model development.
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Human-in-the-loop validation, database cleaning, consistency checks, and bias auditing.