Foundation AI published a blog post detailing the real work involved in evaluating and calibrating enterprise AI models to ensure they deliver correct answers without error or flag raising.
Public source
Publisher name
Public post
Three years ago we thought the hard part of enterprise AI was getting the model to work. It's not. The hard part is knowing when it's confidently wrong. No error thrown.…
Company
Foundation AI
The document operations platform for scaling law firms.
- Industry
- Software Development
- Location
- Irvine, US
- Company size
- 201–500 employees
About Foundation AI
Foundation AI sits between every document that enters the firm and every person, system, and workflow that depends on it—capturing each document and attachment, understanding it, and executing standardized naming, organizing, routing, tasking, and other document-driven workflows. Foundation AI runs the document operations for over 250 leading law firms, including many of the largest, fastest growing, and highest funded personal injury and claims litigation firms in the country. Most firms rely on people, poorly followed SOPs, and fragile manual processes to handle document operations. The best-run firms rely on Foundation AI.
See moreDiscover more
Similar signals
Similar public activity from other companies.
Research & Knowledge
Botco.ai
Botco.ai published a blog post breaking down what separates a generic AI chatbot from enterprise AI built for regulated industries.
Research & Knowledge
distil labs
distil labs published a blog post titled the three ways a small model actually enters a production system, and how to tell which one you are looking at.
Research & Knowledge
Cohere
Cohere published a blog post making the case for model-vendor FDEs and how they can bring product and problem-solving together.
Research & Knowledge
Epona
Epona published a 23-page executive paper exploring the foundations required to scale AI safely and effectively across legal teams.
Research & Knowledge
Exterro