Model ML Automates Financial Workflows with GPT-5.6 Sol
Model ML accelerates research and analysis processes for finance professionals using OpenAI technology.
Model ML founders Arnie and Chaz Englander have developed software that automates finance professionals' workflows from initial request to final report. Based on OpenAI's GPT-5.6 Sol model, this software makes many stages—from data collection to document generation in Excel and PowerPoint formats—more efficient.
The Final Stage in Financial Analysis
For financial analyses to be presented to clients or senior executives, evidence must be reconciled, files built, numbers checked, and every claim linked to its source. Model ML aims to simplify this challenging process.
AI-Powered Process Management
The core agent at the center of the system plans the work, selects tools, reconciles evidence, and performs calculations using GPT-5.6 Sol. These agents help significantly shorten delivery times.
Time Savings and Performance
A global asset manager reduced the time it takes to create a fact sheet from one hour to about five minutes. Additionally, the system can process virtual data rooms with over 100,000 rows in a single pass.
Test and Evaluation Results
In composite evaluation tests conducted by Model ML, GPT-5.6 Sol successfully completed PowerPoint workflows in all test cases, while the Opus 5 model achieved this rate at 76 percent. Furthermore, it used 36 percent fewer tokens than Opus 5 in Excel workflows.