FactSet AI vs Hex AI

Enterprise subscription through FactSet. No public pricing. Integrated into existing FactSet workstation subscriptions.

Free plan (3 projects). Starter $24/month. Team $49/month. Enterprise custom.

FactSet processes financial research data and queries under enterprise data handling agreements. Customer data not used for model training per FactSet's enterprise terms.

Data processed under Hex enterprise data handling agreements. Code and query content submitted to AI for generation processed on Hex's infrastructure.

• ✓AI features grounded in FactSet's curated financial data produces more reliable results than general-purpose AI for financial queries
• ✓Mercury natural language access reduces time to find specific financial metrics and estimates
• ✓Document search semantic capability is well-calibrated for financial terminology
• ✓Integrated into existing FactSet workflows for professionals already on the platform

• ✓Real-time collaboration solves the scattered Jupyter notebook problem for data teams
• ✓Magic AI accelerates SQL and Python query writing for the most common data analysis tasks
• ✓Free plan allows meaningful individual use with 3 projects without time limitation
• ✓Seamless SQL + Python in one notebook eliminates context switching between tools

• ✕Enterprise-only through existing FactSet subscriptions which carry significant subscription costs
• ✕AI features are value-adds within the broader FactSet subscription rather than standalone AI differentiation
• ✕Less AI-focused than dedicated financial AI platforms like AlphaSense for document research

• ✕Free plan 3-project limit may constrain active individual users
• ✕Hex is strong for exploration and presentation but not a replacement for production data pipeline tools
• ✕Less adoption than Jupyter and Databricks notebooks for ML engineering workflows