Case Study: Boosted.ai improves AI investment assistant accuracy and cuts costs by 90% with Invisible Technologies

Launching a better, faster, AI investment assistant for Boosted.AI

Boosted.ai, an AI-powered financial analysis platform, faced significant challenges in scaling its AI investment assistant. Customers demanded more precise insights, broader coverage, and a 99.99% reduction in processing time, which required processing ten times more data. After initial attempts to use a Small Language Model (SLM) fell short due to insufficient training data, they were connected to Invisible Technologies for a solution.

Invisible Technologies developed highly complex, expert-level training data that taught the SLM to accurately apply financial concepts and execute multi-step reasoning. This collaboration enabled Boosted.ai’s AI investment assistant to achieve a 90% reduction in costs while dramatically improving its prediction accuracy and processing capabilities, allowing Boosted.ai's team to focus on innovation and customer value.

Boosted.ai

Jonathan Dorando

Co-Founder & CTO