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UniQual.
Engineered · Not assembled

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What does an AI development company do?

An AI development company like UniQual designs, builds, and deploys production-grade AI systems — machine learning models, large language model (LLM) integrations, retrieval-augmented generation (RAG) pipelines, and autonomous AI agents — owning the full lifecycle from data strategy through MLOps.

Full lifecycle, not just prototypes

UniQual covers the entire arc of an AI product: data strategy, model selection and fine-tuning, evaluation harnesses, deployment on managed infrastructure (AWS, Vercel), and continuous MLOps monitoring for drift, cost, and latency. Most agencies stop at the prototype; we run a system in production until handover.

What we typically build

Custom LLM applications, fine-tuned domain models, multi-agent orchestration, RAG pipelines using pgvector or Pinecone, AI chatbots and voice assistants, document-intelligence and OCR pipelines, and AI automation for business workflows.

Models we work with

OpenAI GPT (4o, 5.x), Anthropic Claude (Sonnet, Opus, Haiku), Google Gemini (3 Flash, 3 Pro), open-source models (Llama, Mistral) via vLLM or Ollama, and on-device models via Core ML.

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