OpenAI
GPT models and APIs we integrate for chat, generation, embeddings, and agentic features.
Discuss your projectOpenAI's API gives us production-ready access to GPT models for chat interfaces, content generation, embeddings-based search, and function-calling/agentic workflows, without the cost and complexity of training our own model.
We typically pair it with retrieval-augmented generation (RAG) over a client's own data, so responses stay grounded in their actual content rather than the model's general knowledge alone.
How we use OpenAI
AI chat & assistants
In-product chat assistants that answer questions using a client's own knowledge base.
Content generation
AI-assisted drafting tools built into a client's content workflow.
Semantic search
Embeddings-based search that understands meaning, not just keyword matches.
More ai & ml technologies
TensorFlow
Google's open-source framework for building and deploying machine learning models at scale.
PyTorch
Meta's flexible deep learning framework, favored for research and rapid model experimentation.
Claude
Anthropic's family of models, which we use for reasoning-heavy tasks, long-context document work, and coding assistants.
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