LYCEUM ANALYTICS LIMITED

Lyceum Analytics Limited operates ValuationBot.ai, an AI-powered equity research platform that automates financial analysis and valuation modeling for public companies.

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AI that analyzes stocks and writes investment reports like a human analyst.

Lyceum Analytics Limited operates ValuationBot.ai, an AI-powered equity research platform that automates financial analysis and valuation modeling for public companies. Founded in the early 2020s, the company targets retail and professional investors seeking institutional-grade research without manual effort. ValuationBot processes SEC filings, earnings reports, and market data to generate discounted cash flow models, comparable valuations, and investment theses with bull/base/bear scenarios.

The platform claims to have analyzed 3,666 stocks and delivered an average alpha of +19.8% on its recommendations since launch, though these figures lack independent verification. As of 2026, Lyceum reports over 700 users but has not disclosed revenue or funding details. The tool's differentiation lies in its one-click analysis workflow, exporting Excel models and PDF reports—capabilities typically requiring expensive Bloomberg or FactSet terminals. Recent performance metrics suggest the AI models may have an edge in identifying mispriced small-cap stocks, though backtested results should be interpreted cautiously given survivorship bias risks.

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Who buys this

  • Retail investors seeking institutional-quality research
  • Independent financial advisors without in-house research teams
  • Hedge fund analysts looking for secondary validation
  • Wealth management firms automating client reporting
  • Finance students learning valuation techniques

Strengths and what to watch

Strengths

  • Process automation reduces equity research time from weeks to minutes
  • Transparent valuation methodology with exportable DCF models
  • Performance claims of +4.9pts vs S&P 500 since launch (unverified)

Watch for

  • Unproven long-term alpha generation beyond backtested results
  • Concentration risk in US equities with unclear international coverage
  • Dependence on SEC filings without proprietary data sources

Key Information

Founded
2020

Frequently Asked Questions

What does ValuationBot.ai do?

ValuationBot.ai automates stock analysis by processing SEC filings and market data to generate valuation models, investment theses, and reports. The AI platform provides institutional-grade research for retail investors, offering DCF models and scenario analyses typically requiring expensive professional tools. It covers 3,666 stocks with one-click exports.

How accurate is AI stock analysis compared to human analysts?

Lyceum Analytics claims +19.8% average alpha on recommendations, though unverified. The platform automates tedious parts of equity research like data processing but may lack nuanced qualitative judgment. Performance metrics show +4.9pts over S&P 500 since launch, but backtests may not predict future results accurately.

Who should use an automated equity research platform?

Retail investors seeking institutional analysis, financial advisors without research teams, and hedge funds needing secondary validation benefit most. The platform suits those valuing time savings over bespoke analysis. Finance students also use it for learning valuation techniques through transparent modeling methodologies.

What types of investment reports does the AI generate?

The platform produces discounted cash flow models, comparable company valuations, and bull/base/bear scenario analyses. Reports include exportable Excel models and PDF summaries resembling human-written research. Sample outputs analyze valuation drivers, financial health, and potential upside/downside for each stock covered.

What are the limitations of AI-powered stock analysis?

Reliance on SEC filings may miss proprietary insights. Performance claims lack independent verification. Concentrated in US equities with unclear international coverage. While automating data processing, the AI may struggle with qualitative factors like management quality or industry disruption risks that human analysts assess better.

How does ValuationBot save time on investment research?

The platform reduces weeks of manual data collection and modeling to minutes. Automated processing of financial statements, ratio calculations, and DCF modeling eliminates repetitive tasks. Users get institutional-style reports with one-click exports instead of building complex spreadsheets from scratch, though critical thinking remains essential.

Sources

  1. valuationbot.ai — Core product features and performance claims
  2. valuationbot.ai — Sample output and analysis methodology