Reflexivity
Research & Analysis — Paid
An institutional-grade AI research platform using knowledge graphs for analytics, simulations, and portfolio insights.
Knowledge-graph engine
Overview
Reflexivity is an AI investment-analysis platform, formerly known as Toggle AI, built for professional and institutional investors who need more than a basic screener. It falls under research and analysis, using knowledge graphs to link trusted market data into analytics, scenario simulations, and portfolio insights. This Reflexivity review is written for serious investors and small funds, not retail traders looking for a casual research app. If you're new to investing, this platform was not built with you in mind.
The knowledge-graph approach is the real differentiator. It connects data points so the platform can explain what's actually driving a move instead of just reporting that one happened. Scenario simulations let users model how a specific event might ripple across a portfolio's holdings, a level of analysis most retail-facing tools don't attempt. Institutional-grade data supports the whole system, giving it credibility for users who need more than headline numbers.
The honest limitations are about access, not capability. This is geared to professionals, so casual investors will find both the interface and the depth of analysis more than they need. Pricing is not transparent, listed only as contact for pricing, so there's no way to compare costs without reaching out directly. There's no free trial either, so evaluating the platform requires a real conversation with the company first.
Reflexivity covers US and global stocks, built for long-term investing with a manual research workflow, meaning it informs decisions rather than executing them. API access is available for teams that want to build the data into their own systems, though there's no mobile app for checking insights away from a desk. Skip it if you're a beginner, a retail trader on a budget, or someone who wants transparent, published pricing before committing. It's built for advanced, professional users who need explainable AI analysis deeper than a standard screener provides.
Pros
- Knowledge-graph analytics
- Scenario simulations
- Institutional-grade data
Cons
- Geared to professionals
- Pricing not transparent