Access the complete Crunchbase dataset spanning millions of companies, funding rounds, and investor profiles globally. Our comprehensive database includes 10+ years of startup ecosystem evolution, M&A activity, and venture capital trends.
Leverage historical funding patterns, investor behavior analytics, and company trajectory data for predictive modeling. Includes enriched datasets with success/failure indicators, founder backgrounds, and market timing correlations.
Pre-processed data with standardized industry classifications, normalized funding amounts, and relationship mappings. Ideal for investment analysis, market research, and building predictive models for startup success.
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Crunchbase Dataset Use Cases
Predictive Investment Modeling
Build ML models to predict startup success using historical patterns of similar companies. Analyze factors like founding team composition, funding velocity, and market timing to optimize investment decisions.
Market Sizing & TAM Analysis
Calculate total addressable market sizes using company counts, funding data, and growth rates by industry. Identify underserved markets and emerging sectors before they become saturated.
Venture Capital Performance Analysis
Evaluate VC fund performance by analyzing portfolio outcomes across multiple vintage years. Benchmark investor returns and identify top-performing funds by stage and sector focus.
Corporate Innovation Strategy
Map startup ecosystems around your industry to identify partnership and acquisition opportunities. Track emerging technologies and business models that could disrupt your market.
Crunchbase Dataset New Entries
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Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Crunchbase. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Crunchbase user credentials. By using this dataset, you agree to comply with Crunchbase's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
This dataset provides comprehensive Crunchbase company data including funding rounds, investor details, acquisition records, and company profiles for millions of startups and businesses worldwide. Filter by industry, funding stage, location, and investment size.
The dataset includes funding round details with amounts, investors, dates, and valuation data. Analyze VC investment patterns by sector, track fund deployment trends, and study how investment flows shift across industries and geographies over time.
Company records include founding details, employee counts, industry classifications, technology stacks, leadership teams, and contact information. Build comprehensive company profiles for competitive intelligence, sales prospecting, and market research.
The dataset tracks funding rounds from seed to IPO with round sizes, pre/post-money valuations, and investor participation. Study how valuations evolve across funding stages, compare valuations by sector, and identify patterns in successful fundraising.
Yes — company profiles include industry, size, funding status, and technology information that enables targeted prospecting. Identify companies matching your ideal customer profile, track funding events as buying signals, and enrich your CRM with company data.
The dataset includes investor profiles with portfolio companies, investment patterns, and fund details. Analyze investor strategies, identify the most active VCs by sector, and study co-investment patterns and syndicate relationships.
Acquisition records include buyer and target details, deal terms, and timing. Monitor M&A trends by industry, track acquirer strategies, and analyze how acquisition patterns signal market consolidation and competitive dynamics.
Filter companies by headquarters location to analyze startup ecosystems across cities, states, and countries. Compare funding levels, company density, and industry focus across geographies to understand regional tech landscapes.
Company records include technology stack information, product categories, and competitive positioning. Study technology adoption trends, analyze competitive landscapes within specific product categories, and track emerging technology sectors.
Track company formation rates, funding activity, and investment patterns by industry category. Identify sectors with increasing investor interest, study how new categories emerge, and spot market trends before they become mainstream.
The dataset includes leadership team information with roles and backgrounds. Analyze executive hiring patterns, track founder backgrounds, and study how leadership composition correlates with funding success and company growth.
The dataset is refreshed regularly to capture new funding rounds, company updates, and leadership changes. Historical data enables trend analysis across funding cycles, industry evolution, and startup ecosystem development.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply industry, location, funding stage, and size filters before export to get precisely the business intelligence data you need.
Analysts use the dataset to map competitive landscapes, track competitor funding and growth, monitor industry entrants, and study how companies position themselves within markets. Build competitive dashboards and market maps using comprehensive company data.
Company records include employee count estimates and growth indicators. Track company growth trajectories, compare workforce scaling patterns across industries, and use employee growth as a signal for company health and market momentum.