Cobalt (FactSet) vs Standard Metrics
A side-by-side comparison of Cobalt (FactSet) and Standard Metrics — two options for portfolio monitoring & metrics. Pricing, features, and honest pros and cons.
Category
Portfolio Monitoring & Metrics
Portfolio Monitoring & Metrics
Rating
4.1 / 5
4.6 / 5
Pricing
Enterprise / Custom
Enterprise / Custom
Best for
GPs who want performance benchmarking and pacing alongside monitoring
Venture and growth funds that want AI-first KPI collection at scale
Key features
- Portfolio company KPI tracking and fund roll-ups
- TVPI, DPI, IRR, and PME analytics out of the box
- Pacing, forecasting, and scenario models
- Benchmarking against private markets fund data
- Track-record analytics for fundraising
- Automated KPI collection from portfolio companies
- AI parsing of PDFs, decks, and financial documents
- Benchmarking against a large anonymized startup dataset
- LP reporting, valuations, and audit-ready data structuring
- Portfolio-wide AI Analyst
Pros
- Benchmarking and pacing analytics stronger than most GP-side tools
- FactSet ownership brings data depth and enterprise stability
- Serves both GP monitoring and LP portfolio management use cases
- Strong roster of marquee VC customers
- Best-in-class AI document ingestion cuts founder-chasing dramatically
- Free for portfolio companies, which drives high response rates
Cons
- Less venture-native than founder-connected collection platforms
- Enterprise sales process and opaque pricing
- No public pricing; quotes skew toward larger funds
- Deep benchmarking value builds over time — day-one payoff is collection, not comps
- Sparse third-party review footprint