Foundation Models

Also known as: Large AI Models, Base Models, Frontier Models, Pre-trained Models

Large AI models pre-trained on massive data that serve as the base for building specialized applications through fine-tuning or prompting.

Foundation Models are large-scale AI systems pre-trained on enormous data corpora (text, images, code, audio) that can be adapted to a wide variety of specific tasks through fine-tuning, prompting, or RAG systems, without needing to train from scratch.

Examples of foundation models relevant to research in 2026: GPT-4o (OpenAI), Claude 3.7 Sonnet (Anthropic), Gemini 2.0 Pro (Google), Llama 3.1 (Meta), Mistral Large. Each has distinct strengths in reasoning, text generation, data analysis, and multimodal capabilities.

The importance of foundation models for market research is that they have democratized access to advanced AI: organizations of any size can build AI-powered research solutions using APIs of these models, without needing to develop their own systems from scratch.

Atlantia builds its AI capabilities on leading foundation models, combining them with proprietary data and research expertise to deliver results superior to those of a generic LLM.