Generic models are for everyone. Your data is your competitive moat. We fine-tune LLMs specifically on your catalog, customer support history, and brand voice.
ChatGPT, Gemini, GPT, and Grok are great, but it doesn't know your inventory, your margin requirements, or your tone. SeaOpen builds bespoke models that live inside your infrastructure.
We deploy foundation models that stay synchronized with your data — learning from every SKU, order, and customer interaction.
We fine-tune with your catalog structure, internal terminology, support tickets, and brand voice — so the assistant behaves like a senior team member, not a generic chatbot.
Models shouldn't be frozen in time. We implement Retrieval-Augmented Generation (RAG) pipelines that allow your AI to access your live inventory database, current pricing, and shipping status in real-time.
Instead of guessing, your assistant retrieves the latest facts from your systems — then answers with your rules, your margins, your availability, and your policies.
From raw data to deployed intelligence in 4 weeks.
We clean your historical data, removing noise and PII to ensure a pristine training set.
Converting your catalog and text into billions of vector embeddings for semantic search.
Running GPU-intensive training cycles to adapt the model weights to your business logic.
Quantization and distillation to make the model run fast and cheap on edge servers.
Unlike using standard APIs where you feed your data to big tech, SeaOpen builds models that belong to you. The weights, the biases, and the training data remain your intellectual property.