DeepVest (formerly Benjamin AI) adds Financials, Regulatory Filings Monitoring, Data Visualizations, Risk Metrics (VaR/ES/Drawdown), and Correlation coverage that Reflexivity skips.
VOL. XCIV, NO. 247
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Monday, October 13, 2025
Head-to-head
DeepVest (formerly Benjamin AI) vs Reflexivity comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Reflexivity includes Performance Attribution, Alerts, Data APIs, Transcripts, AI, AI Chat, AI Report, and APIs & SDKs categories that DeepVest (formerly Benjamin AI) omits.
DeepVest (formerly Benjamin AI) highlights: Multi‑asset analysis across equities, ETFs, crypto, FX and commodities., Strategy backtesting plus event backtesting around specific announcements., and Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation)..
Reflexivity is known for: Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..
DeepVest (formerly Benjamin AI)
deepvest.ai
AI‑powered investment assistant with agent orchestration. Pro focuses on multi‑asset research, strategy/event backtesting, portfolio optimization & risk analysis, factor/ETF studies, macro relationships, SEC filing analysis, and real‑time news/data search. Premium adds compliance traceability and large historical download quotas; Enterprise offers custom data sources, function tool‑calling, and integrations.
Categories
Platforms
Pricing
Quick highlights
- Multi‑asset analysis across equities, ETFs, crypto, FX and commodities.
- Strategy backtesting plus event backtesting around specific announcements.
- Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation).
- Advanced stock screening and financial statement breakdowns.
- Macro analysis (cross‑asset/indicator relationships) and scenario analysis (e.g., rate shocks).
Community votes (overall)
Reflexivity
reflexivity.com
Reflexivity is a sales-led enterprise platform (annual subscription) designed for institutions. Deep Research features are still in beta and not enabled for all accounts. All listed data sources (S&P Global, Refinitiv, Nasdaq, Cboe, etc.) are included out of the box—no separate contracts required.
Categories
Platforms
Pricing
Quick highlights
- Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
- Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
- Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
- Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.
- Scenario Analysis allows backtesting and stress testing with 50+ years of historical market data. Users can model custom scenarios and view results in real time.
Community votes (overall)
Shared focus areas
6 overlapsMutual strengths include Screeners, News, and Quant plus 3 more areas.
Where they differ
DeepVest (formerly Benjamin AI)
Distinct strengths include:
- Multi‑asset analysis across equities, ETFs, crypto, FX and commodities.
- Strategy backtesting plus event backtesting around specific announcements.
- Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation).
- Advanced stock screening and financial statement breakdowns.
Reflexivity
Distinct strengths include:
- Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts.
- Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports.
- Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs.
- Portfolio Insights delivers real-time alerts, risk/exposure analytics, and performance attribution. Portfolios can be replicated via manual entry or file upload. The system produces over 1,500 daily insights spanning 40k+ assets, 250+ indicators, and 20 years of history.
Feature-by-feature breakdown
Attribute | DeepVest (formerly Benjamin AI) | Reflexivity |
---|---|---|
Categories Which research workflows each platform targets | Shared: Screeners, News, Quant, Scenario & Stress Tests, Backtesting, Portfolio Unique: Financials, Regulatory Filings Monitoring, Data Visualizations, Risk Metrics (VaR/ES/Drawdown), Correlation | Shared: Screeners, News, Quant, Scenario & Stress Tests, Backtesting, Portfolio Unique: Performance Attribution, Alerts, Data APIs, Transcripts, AI, AI Chat, AI Report, APIs & SDKs |
Asset types Supported asset classes and universes | Stocks, ETFs, Commodities, Currencies, Cryptos | Stocks, ETFs, Bonds, Commodities, Currencies |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Intermediate, Advanced |
Platforms Where you can access the product | Web | Web, API |
Pricing High-level pricing models | Subscription | Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do DeepVest (formerly Benjamin AI) and Reflexivity both support?
Both platforms cover Screeners, News, Quant, Scenario & Stress Tests, Backtesting, and Portfolio workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do DeepVest (formerly Benjamin AI) and Reflexivity require subscriptions?
Neither platform maintains a free tier. Budget for a subscription to unlock the research coverage highlighted in this comparison.
How can you access DeepVest (formerly Benjamin AI) and Reflexivity?
Both DeepVest (formerly Benjamin AI) and Reflexivity prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
DeepVest (formerly Benjamin AI) differentiates itself with Multi‑asset analysis across equities, ETFs, crypto, FX and commodities., Strategy backtesting plus event backtesting around specific announcements., and Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation)., whereas Reflexivity stands out for Institutional-grade AI research environment with verified data from S&P Global, Refinitiv Datastream, Nasdaq, and Cboe—all included without the need for separate data contracts., Deep Research agent that can write and execute Python, run backtests, generate Excel models, export code and data, and produce publication-ready reports., and Document Intelligence to search and extract from SEC filings, transcripts, presentations, and central bank documents; includes OCR for charts and tables and custom ingestion for proprietary docs..
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Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.