What is a foundation model?
Short answer
A large, general-purpose AI model that other products are built on top of, such as the models behind major chat assistants.
Definition
A foundation model is a big, general AI model trained to handle many tasks, which other companies then build products on. The large language models behind major chat assistants are foundation models, and so are many image and speech models.
When an advisor-tech vendor says it "uses AI," it usually means it sends your data to a foundation model, sometimes with its own instructions, retrieval or fine-tuning layered on top.
Why it matters for advisors
Knowing which foundation model a product uses tells you who else touches your data. That company may be a sub-processor under your vendor's contract, with its own retention and training terms.
It also explains why several different products can behave alike: they may be built on the same underlying model. The difference is in the wrapper: the data connections, the prompts, the review screens and the compliance controls.
Example
Two meeting notetakers produce similar summaries. The firm picks the one whose contract names its model provider, confirms zero data retention with that provider, and keeps transcripts in the firm's own archive.
Watch out for
Vendors can switch foundation models without much notice. Ask to be told when the model or model provider changes, since that can change where your data goes.
Related terms
- Large language modelThe type of AI model behind chat assistants: trained on huge amounts of text to predict and generate language.
- Fine-tuningFurther training an existing AI model on a specific set of examples so it performs better at a narrow task.
- Sub-processorA third party your vendor uses to handle your data, such as the AI model provider behind a notetaker or CRM assistant.
- Zero data retentionAn arrangement where an AI provider doesn't store your prompts or outputs after returning a response, beyond what it needs to process them.
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