FinChat
vs
Finster
FinChat
FinChat is a comprehensive investment research platform designed to provide investors with institutional-level data and advanced AI-powered tools. It offers verified financial data, including financials, estimates, segments, and KPIs, sourced from S&P Market Intelligence and FinChat's team of equity analysts.
The platform features an AI assistant that allows users to interact with the data conversationally, enabling in-depth investigation and analysis of companies. Users can customize their experience with a flexible, intuitive interface and automatically save their research.
Finster
Finster is an AI-driven tool that supports investment analysts in making well-informed, meticulously researched decisions, at an unprecedented pace. Developed by a team with experience across finance, AI and tech from Google DeepMind, Meta, and J.P. Morgan, Finster is transforming how financial insights are discovered.
Built with intuitive technology, Finster translates user instructions into comprehensive briefs. It draws from high-standard global sources, such as earnings calls, reports, filings, and numerical data. Finster accelerates the research process by producing streamlined reports in a desired format, helping highlight opportunities, flag risks, and support confident investment.
FinChat
Pricing
Finster
Pricing
FinChat
Features
- Financials and estimates by S&P Market Intelligence: Access to comprehensive financial data and analyst estimates.
- Segments and KPIs by FinChat Verified Data: Verified data on company revenue, profit segments, and key performance indicators.
- AI Assistant: Interactive tool to investigate companies with rigorous, detailed data.
- Customizable Terminal: Track and auto-save research with a flexible platform.
- Stock Screener: Find stocks matching your criteria
- DCF Modelling: Value companies accurately
- Data Visualizations: Easy-to-understand charts and graphs
Finster
Features
- Customisable workflows: Analyst-directed, and can be adjusted to reflect each firm’s unique investment research processes.
- End-to-end audit trails: Reports are exhaustively referenced, making it easy for analysts to fact-check and interrogate the findings with line-level and row-level attribution linked back to the source documents.
- Rigorous corroboration: Compares findings across documents and competitors, tracks inconsistencies, and will alert the analyst if sources fail to pass the in-built credibility standards.
- Extensive global data coverage: Combines premium data sources such as global earnings call transcripts, company fundamentals and estimates datasets from FactSet, with carefully curated and tagged SEC filings, annual reports, investor presentations, and sustainability reports.
FinChat
Use cases
- Conducting fundamental research on global public companies.
- Analyzing company financials, segments, and KPIs.
- Generating summaries and models using AI.
- Tracking portfolios and watchlists.
- Comparing companies and competitors.
- Accessing analyst estimates, price targets, and ratings.
- Building Discounted cash flow (DCF) models.
Finster
Use cases
- Earnings Analysis: Extract custom insights from quarterly earnings and investor calls.
- Completing custom sustainability reporting: Populate custom ESG reports with the latest information from various sources.
- Uncover red flags earlier: Automatically scan filings, transcripts, financial statements, and news to uncover hidden red flags.
- Identify thesis fit and catch thesis drift: Assess how and to what extent an investment idea fits a specified thesis.
FinChat
Uptime Monitor
Average Uptime
100%
Average Response Time
218.63 ms
Last 30 Days
Finster
Uptime Monitor
Average Uptime
99.95%
Average Response Time
172.47 ms
Last 30 Days
FinChat
Finster
