aVenture vs Dividend Data

Institutional-Grade Venture Intelligence

aVenture provides a comprehensive and reliable foundation with data on over 107,000 active private companies, $12.7 trillion in total funding, and 29,779 investors. This vast dataset, sourced from over 1,200 channels and encompassing 12.4 million+ data points, offers the depth and breadth required for professional analysis, enabling users to track funding rounds, identify emerging opportunities, and conduct market research with precision and confidence.

Integrated AI Analyst

This feature marks the platform's core evolution from a database to an intelligence partner. The AI analyst continuously reads and interprets the latest news, coverage, and market events. It goes beyond reporting to provide contextual analysis—summarizing key traction signals, flagging potential risks, and explaining how new developments materially affect a company's strategic position and future trajectory.

Deep Company Insights

Users can drill down into detailed profiles for any of the 100,000+ venture-backed companies. This feature surfaces critical insights institutional investors rely on, including detailed ownership structures, comprehensive funding histories, competitive positioning, and key personnel data. It transforms raw data into a clear narrative of a company's growth journey and market standing.

Expert Trend Analysis & Reporting

The platform curates and generates expert analysis on venture capital trends, investment strategies, and significant market movements. Featuring timely reports on fundraising rounds, valuation changes, and sector deep-dives, this content helps users stay ahead of market shifts and understand the broader narratives shaping the private investment landscape.

Comprehensive Spreadsheet Integration

Dividend Data seamlessly integrates directly into your existing workflow within Google Sheets and Microsoft Excel via dedicated add-ins. This feature requires no API keys, coding knowledge, or complex setup. You gain access to a suite of over 16 custom functions that pull live data directly into your cell formulas. This transforms static spreadsheets into dynamic, auto-updating financial models and dashboards, saving countless hours of manual data entry and ensuring your analysis is always based on the most current information available.

Extensive Historical & Fundamental Data Library

Access a deep well of financial information spanning more than three decades for a global universe of 80,000+ stocks and ETFs. The library is meticulously built for fundamental analysis, covering dividend-specific metrics (ex-dates, payment dates, growth rates), full financial statements (income, balance sheet, cash flow), valuation and profitability ratios (P/E, P/B, ROE), and detailed price history. This depth allows investors to perform rigorous back-testing, analyze long-term trends, and make informed decisions based on comprehensive historical context.

Built-for-Purpose Dividend Investor Tools

The product is specifically engineered with dividend-focused metrics at its core. Functions are designed to instantly retrieve forward dividends, yields, payout ratios, and dividend growth histories. This specialized focus means investors can quickly screen for income stability, assess dividend safety, and model future income streams without having to manually calculate these figures from raw data, streamlining the entire research process for income-generating portfolios.

Free Tier with Perpetual Access

Dividend Data fosters long-term user growth by offering a genuinely free starting point. The free plan provides 2,500 credits per month without any trial expiration date, allowing new investors to explore the platform's capabilities, build small models, and integrate data into their process at zero cost. This low-barrier entry encourages skill development and demonstrates tangible value, creating a natural pathway for users to evolve into power users who may later choose to upgrade for higher-volume needs.

Investment Due Diligence

Investment analysts and venture capitalists use aVenture to conduct thorough due diligence on potential targets. The platform's deep company insights, integrated AI analysis of recent news, and comprehensive funding histories provide a 360-degree view to assess company health, validate traction, identify risks, and make informed, data-backed investment decisions with greater speed.

Founder Fundraising Strategy

Founders preparing for a fundraise leverage aVenture to strategically position their company. They can analyze comparable companies, understand investor portfolios and recent activity, benchmark valuations, and anticipate market questions. This intelligence empowers them to craft a compelling narrative and target the right investors at the optimal time.

Competitive & Market Intelligence

Business development teams and corporate strategists utilize aVenture to monitor their competitive landscape and scout for potential partners or acquisition targets. By tracking competitors' funding events, news sentiment, and strategic moves, they can identify market gaps, emerging threats, and partnership opportunities to inform their own growth strategy.

Sector Research & Opportunity Identification

Investors and analysts tasked with mapping emerging trends use aVenture to identify high-growth companies and innovative business models within specific sectors like Healthtech, Fintech, or AI. The platform's extensive filtering and tagging capabilities allow for efficient screening of thousands of companies to uncover promising investment opportunities early.

Automated Dividend Portfolio Tracking

Investors can build a master portfolio tracker that automatically updates key metrics. By using formulas to pull current prices, dividend yields, and annual income per holding, you can create a live dashboard that shows total portfolio value, projected annual dividend income, and average portfolio yield without ever manually looking up a stock price or dividend announcement again.

Fundamental Stock Screening & Analysis

Quickly screen and analyze potential investments by building custom filters in a spreadsheet. Use functions to pull P/E ratios, debt-to-equity, ROIC, and dividend growth rates for a list of tickers. This allows for rapid comparison of financial health and valuation across dozens of companies to identify those that meet specific, rigorous investment criteria for further due diligence.

Historical Performance Back-testing

Test investment strategies or analyze a company's historical financial resilience. With 30+ years of data, you can pull annual revenue, EPS, and dividend payments into a sheet to chart long-term trends, calculate compounded dividend growth rates, or see how key ratios have changed through different market cycles, providing evidence-based context for future expectations.

Dynamic Financial Model Creation

Create sophisticated discounted cash flow (DCF) or dividend discount models (DDM) that use live data inputs. Instead of hard-coding assumptions, link your model directly to Dividend Data functions for current EPS, growth estimates, and risk-free rates. This ensures your valuation models are always up-to-date and can be recalculated instantly with new data.

aVenture represents the definitive evolution in private market intelligence, progressing beyond static databases into a dynamic, insight-driven platform. It is engineered for professionals who demand precision and strategic foresight to navigate the complex venture capital and startup ecosystem. By aggregating and analyzing a foundational dataset of over 107,000 active companies, $12.7 trillion in funding, and nearly 30,000 investors, aVenture provides an institutional-grade core for research. Its transformative leap is the integrated AI analyst, which continuously processes the latest news and events to interpret developments, summarize traction, highlight risks, and explain their material impact on a company's trajectory. This shift from passive information gathering to active insight generation empowers users to de-risk and accelerate high-stakes decisions. Designed for the full spectrum of private market participants—from founders preparing for fundraising and investment analysts conducting diligence to BD teams scouting partnerships and operators monitoring competition—aVenture delivers the clarity, context, and actionable intelligence required to confidently advance in a fast-moving landscape.

Dividend Data is the definitive toolkit for the modern, self-directed investor, designed to bridge the gap between sophisticated financial analysis and practical, everyday use. It transforms your familiar spreadsheet environment—Google Sheets or Microsoft Excel—into a powerful, live-connected research terminal. The core mission is to eliminate the tedious, error-prone manual work of data gathering. Instead of copying, pasting, and constantly updating figures from disparate sources, you simply type intuitive custom formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") to instantly pull in accurate, institutional-grade data. Built by a dividend investor for dividend and fundamental investors, it provides direct access to over 30 years of historical data for more than 80,000 tickers. This includes dividends, yields, payout ratios, growth rates, complete financial statements, key ratios, price history, and over 100 other essential metrics. The product evolves with your investing journey, starting with a generous free tier of 2,500 monthly credits that never expires, allowing you to build a foundational analysis practice without cost or commitment, and scaling to meet the needs of advanced portfolio management and deep-dive research.

What kind of data does aVenture track?

aVenture tracks comprehensive data on the global private market ecosystem. This includes detailed profiles on over 107,000 active venture-backed companies, their funding rounds (totaling $12.7 trillion), ownership structures, and key personnel. It also covers nearly 30,000 investors, providing insights into their portfolios and investment activity, all sourced from over 1,200 data channels.

How does the Integrated AI Analyst work?

The AI Analyst is a core feature that automates market monitoring and analysis. It continuously scans and reads the latest news articles, press releases, and financial reports related to tracked companies. Instead of just listing events, it interprets them, providing concise summaries that highlight traction, potential risks, and—most importantly—an explanation of how the development impacts the company's material trajectory and valuation.

Who is the typical user of aVenture?

aVenture is designed for a wide range of private market professionals. Primary users include venture capital and private equity investment analysts conducting due diligence, founders and startup executives planning fundraising strategies, business development teams scouting for partnerships or acquisitions, and corporate strategists or operators performing competitive and market intelligence.

How current is the data on the platform?

aVenture is built for real-time intelligence. The platform's data is continuously updated. The Integrated AI Analyst feature specifically ensures that news and event-driven insights are processed as they happen, providing users with the most current interpretation of market movements and company developments, moving far beyond static, periodic database updates.

How does the free tier work and what are credits?

The free tier provides 2,500 credits every month, which renew automatically. Each data point retrieved by a formula (e.g., one cell with a price, a dividend yield, or an EPS figure) typically costs one credit. This allows for substantial usage for individual investors tracking a personal portfolio or conducting periodic research. There is no expiration on this free plan, so you can use it indefinitely.

Do I need to know how to code or set up an API?

Absolutely not. Dividend Data requires zero coding knowledge. You simply install the add-in for Google Sheets or Microsoft Excel from their respective marketplaces. Once installed, you can immediately start using the custom formulas like =DIVIDENDDATA_QUOTE("AAPL", "price") directly in your spreadsheet cells—no API keys or technical configuration is needed.

What kind of data can I access with the spreadsheet functions?

You can access a vast array of data points tailored for fundamental and dividend analysis. This includes real-time quotes, 30+ years of dividend history (dates, amounts), forward dividend metrics, complete financial statements (income, balance sheet, cash flow), key ratios (P/E, P/B, ROE), per-share metrics, and basic company information. Over 100 specific metrics are available through intuitive formula syntax.

Does it work in both Google Sheets and Microsoft Excel?

Yes, Dividend Data is fully functional in both major spreadsheet platforms. There is a dedicated Google Sheets add-on available in the Google Workspace Marketplace and a separate Microsoft Excel add-in available in the Microsoft AppSource store. The core set of functions and data access is consistent across both applications.

aVenture is an AI-powered private market intelligence platform, representing a significant evolution in business intelligence for the startup and venture capital ecosystem. It moves beyond static databases by using integrated AI to analyze news, map companies, and interpret developments, providing strategic foresight for high-stakes decisions. Users often explore alternatives to find a solution that aligns with their specific stage of growth, budget, or feature requirements. Needs can vary from basic company lookups and funding tracking to advanced predictive analytics and custom reporting, driving the search for different tools. When evaluating an alternative, consider the depth and freshness of the underlying data, the sophistication of analysis beyond simple aggregation, and how the platform scales with your evolving research needs. The goal is to find a system that not only informs but actively accelerates your decision-making process.

Dividend Data is a specialized financial data tool designed for fundamental and dividend investors. It provides direct spreadsheet integration, allowing users to pull decades of historical market data into Google Sheets and Excel with simple formulas. Users often explore alternatives for various reasons, such as budget constraints, the need for different feature sets like technical analysis or broader market coverage, or compatibility with other platforms like Python or dedicated trading software. The search for the right tool is a natural step in an investor's growth as their strategy and data demands evolve. When evaluating options, consider your core workflow. Key factors include the depth and reliability of historical data, ease of integration with your existing spreadsheets, transparent and scalable pricing, and whether the tool's focus aligns with your investment philosophy, be it dividends, value, or growth investing.