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CB Insights Alternatives & Competitors

Explore top alternatives to CB Insights that offer extensive market intelligence and investment insights that go far beyond private technology companies and take your research capabilities to the next level.

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CB Insights

Best for: Institutional and enterprise-grade users who need to monitor existing and emerging market trends and key players, particularly in the tech sector

CB Insights is a market intelligence and data analytics platform that tracks millions of public and private companies, investors, and emerging technologies around the world. Primarily used by venture capitalists, private equity firms, and corporate strategy teams, this tool helps analyze industry trends, discover investment opportunities, benchmark competitors, and assess market dynamics.

The CB Insights platform primarily focuses on technology market intelligence, and it mostly gathers data from public sources such as patents, funding rounds, partnerships, news mentions, and web traffic. CB Insights’ machine learning engine ingests and structures this unstructured data, and then analysts validate it and add proprietary data.

Although CB insights provides deep, comprehensive access to information in the tech space and competitive intelligence, it lacks premium and proprietary content sets that can give you a more holistic outlook, such as broker research, global and SEC filings, and expert calls. Additionally, though it utilizes machine learning to track trends and topics, it has limited smart search or generative AI capabilities, which limits the scope and speed of research.

Related Reading: CB Insights Alternatives

CB Insights vs Crayon

AlphaSense vs CB Insights

Key features of the CB Insights platform include:

Company Profiles

CB Insights provides in-depth profiles of companies, including startups and established firms, particularly in the tech space. These profiles include information on funding history, key investors, business models, product offerings, and more.

Venture Capital and M&A Tracking

Users can monitor venture capital investments, private equity deals, and mergers and acquisitions (M&A) activity, particularly in the tech space. This feature helps in understanding where investors are placing their bets and identifying potential investment opportunities.

AI-Driven Insights

The platform applies predictive analytics and machine learning to forecast industry shifts, company trajectories, and investment trends. A key AI feature of CB Insights is their Mosaic Score, which helps predict the success or failure of a private company by analyzing their health and growth potential.

Research Reports

The platform provides a library of in-depth research reports on various industries, technologies, and market trends. These reports offer qualitative and quantitative insights, including market forecasts, growth drivers, and key challenges.

Data Visualizations

CB Insights features interactive data visualizations, such as market maps and trend graphs, to make complex market data more accessible and actionable for users.

Customizable Dashboards and Real-Time Alerts

The platform allows users to create tailored dashboards to monitor key metrics, trends, and market movements relevant to their research needs. Users can also set up real-time alerts for specific companies, industries, or market events, ensuring they stay informed about the latest developments.

API Access and Data Integration

For enterprise organizations, CB Insights offers API access, allowing integration with internal analytics systems and custom dashboards.

CB Insights Pros:

  • Excellent platform for tech space opportunities
  • Deep and broad private company and market coverage
  • Powerful visualization and market mapping tools
  • Uses predictive modeling and AI to identify trends, risks, and investment opportunities
  • Access to in-depth industry reports and research analytics
  • Mosaic Score feature helps assess potential success of private companies
  • Allows users to set up dashboards and alerts for industry trends, competitors, and funding news
  • Supports APIs and integrations

CB Insights Cons:

  • Focuses primarily on private tech companies, with very limited public company coverage
  • Cannot help with document-level or compliance due diligence
  • No access to global/SEC filings, ESG reports, newspapers, trade journals, expert calls, or broker research
  • Platform’s dashboards and reporting features are less customizable than some competitors’
  • AI capabilities less advanced than on AI-native platforms
  • Leans toward technology market use cases; lack of breadth and depth in other markets

AlphaSense

Best for: Holistic and comprehensive AI-driven market intelligence, combining premium external content sources with internal enterprise knowledge

alphasense vs hebbia alphasense platform

AlphaSense is a leading enterprise-grade AI platform built for robust financial and market research. AlphaSense uses AI to turn a vast universe of financial and market data into structured, digestible, actionable insights. Features such as integrated workflow support and comprehensive monitoring and analysis tools enable users to take more confident, strategic action.

While CB Insights is primarily focused on startup discovery, private company tracking, and emerging technology landscapes, AlphaSense is designed for holistic research workflows, enabling users to analyze companies, industries, and trends across both public and private markets. This makes it particularly valuable for strategy, corporate development, and research teams that require comprehensive context and evidence-backed insights, rather than just company or funding data.

For teams evaluating CB Insights alternatives, AlphaSense is best positioned as a complementary or replacement platform for research, diligence, and decision-making workflows, rather than for pure startup sourcing. It is especially strong in qualitative analysis, cross-source synthesis, and AI-driven workflows, but less focused on building exhaustive startup databases or sector taxonomies.

Key AlphaSense features include:

Curated, Premium Datasets

AlphaSense is the only tool that combines public and private financial data with expert call transcripts, broker research, and news in one place. By bringing together qualitative and quantitative insights, AlphaSense gives you the necessary context to make smarter and better informed decisions.

Premium External Market Insights

Our library of qualitative content includes:

  • Wall Street Insights, a collection of equity research that features more than 1,700 broker sources, including Goldman Sachs, Morgan Stanley, Bank of America, and Citi
  • Expert calls, which includes over 260,000 interviews with pre-qualified experts and the ability to conduct your own 1:1 calls with 70% cost savings compared with traditional expert networks. This also includes Channel Checks, which are AI-led interviews with validated industry experts, which result in faster, more consistent, and more scalable insight extraction.
  • Company documents and filings, including earnings transcripts, company presentations, SEC and global filings, ESG reports, and press releases
  • Live transcripts that allow users to view past, current, and upcoming event transcripts in a calendar, as well as view transcripts of ongoing events in real time
  • News, trade journals, and regulatory coverage

Company Perspectives

AlphaSense streamlines access to SEC filings, earnings and events transcripts, financial documents, and more. Users can easily search across multiple companies and SEC filings, as well as explore past filings, create models, and benchmark company performance, without needing to pull up individual filings to manually track a company’s metrics.

Internal Content Integration

Users can integrate and query their own internal content in AlphaSense alongside the premium external sources listed above. This includes:

  • Internal research, notes, and presentations
  • CIMs and investment memos
  • VDRs
  • Reports from industry and market intelligence providers
  • Emails, newsletters, web pages, and RSS feeds

Internal content is easily and securely integrated through our Ingestion API or enterprise-grade connectors, which support Egnyte, Microsoft 365/Sharepoint, Box, Google Drive, S3, and more. Our integration capabilities allow for more streamlined collaboration with members across your organization and improved productivity. Our proprietary AI technology allows you to search across all internal and external company content to find crucial insights, catching what other platforms miss in a secure and automated way.

Financial Data

AlphaSense provides access to the following crucial quantitative insights:

  • Historical Financials & Estimates: Standardized statements and consensus data across 19,000+ public companies
  • Sector-Specific KPIs: Detailed operating metrics sourced from institutional-grade Canalyst models
  • Transaction Intelligence: Details on nearly 1 million M&A deals and 750,000 private funding rounds, enriched with AI-generated deal rationale and strategic context
  • Dynamic Peer Sets: 125+ pre-built industry comparables with sector-specific metrics

Channel Checks

AlphaSense Channel Checks is a living channel intelligence system. Thousands of consistent conversations every month surface clean, comparable signals on demand and pricing from ground-level channel sources weeks before the market catches on. Our AI-led interviews surface demand trends, pricing movements, and competitive dynamics as they happen instead of in static postmortem reports.

AI-powered synthesis turns expert perspectives into actionable intelligence instantly, not over the course of weeks. You can simultaneously interrogate dozens of Channel Check interviews across peer sets to extract demand, inventory, and pricing insights in seconds. And with full transcript access, you can build conviction through source-level verification and defend investment recommendations with primary source evidence, eliminating the trust gap inherent in third-party research summaries.

AI Search and Summarization Technology

Our industry-leading generative AI tools are purpose-built to deliver business-grade insights, leaning on 10+ years of AI tech development. Our suite of tools currently includes:

Generative Search

Generative Search is a conversational search experience that allows users to ask natural-language questions and source intelligence at scale from across premium external content, internal knowledge, and quantitative data sources. Each answer provides citations to the exact snippet of text from where the information was sourced, so that it can always be referenced back.

With Deep Research mode, users can automate the creation of in-depth analysis about companies, trends, or industry topics. The model conducts dozens of searches, parses through thousands of potentially relevant results, and reasons over all of it to produce comprehensive, detailed analysis about any topic — in a fraction of the time it would take a human.

You can also take Generative Search on the go with our mobile app, giving you access to instant answers, wherever you work.

Generative Grid

Generative Grid applies multiple genAI prompts to many documents at the same time to quickly provide organized answers to research questions at scale, in an easy-to-read table format. This enables clients to summarize documents using pre-built criteria to save time when executing repeatable workflows.

Smart Summaries

Every earnings transcript in AlphaSense features an AI-generated Smart Summary, which creates a tearsheet of key takeaways, analyst Q&A, and the most critical topics discussed in each call. AlphaSense users leverage Smart Summaries during earnings season to extract the most crucial insights from each call in just minutes, ensuring a comprehensive and timely view of key insights.

Sentiment Analysis

Sentiment Analysis, a natural language processing (NLP)-based feature, parses content and identifies nuances in language such as tone and subjective meaning. It then uses color coding to help users identify instances of positive, negative, and neutral sentiment throughout the document.

Integrated Workflows

The AlphaSense platform includes the following features that help research professionals conduct key workflows with greater speed and confidence:

  • AlphaSense Excel Add-In: Excel tool with custom formulas and simple syntax, analysis templates, and pre-built Industry Comps to quickly get you up and running.
  • Canalyst Model Access: 4,500+ ready-to-use models with detailed financials, operating metrics, and segment breakdowns.
  • Purpose-built automations: One-click agents that run full earnings workflows, from in-depth call analysis to tracking a company’s self-reported guidance to extracting key themes from analyst Q&As.
  • Domain-Specific AI: Unlike generic AI tools, our AI is trained and benchmarked to understand sector dynamics, valuation methodologies, and market context just like an analyst would.

Monitoring, Analysis, and Collaboration Tools

AlphaSense is designed to help users uncover insights faster with the following tools:

  • Customizable dashboards create a centralized information hub for monitoring key companies and themes, while tailored alerts provide real-time updates.
  • Powerful collaboration tools like Notebook and commenting features help teams manage and share insights more effectively.
  • Table Tools allow you to move faster with spreadsheet-style visualizations directly from company filings, so you can chain together, edit, and optimize tables for analysis.
  • Image Search allows you to discover insights buried in charts to quickly return data without reading through pages of documents.
  • Snippet Explorer allows you to effortlessly assess any topic or theme and all its historical mentions in a single view.
  • A mobile app that lets you track real-time alerts and run AI searches on the go, ensuring you never miss a critical insight.
  • Automated Monitoring allows you to set up real-time alerts that send instant updates on any relevant market movements, news, emerging trends, and competitor activities. We also generate snapshots of companies and topics regularly that keep you ahead of the curve with actionable insights.

AlphaSense Pros:

  • Extensive content database that spans key market perspectives, including broker research, expert calls, company documents, news, and regulatory sites
  • Extensive quantitative insights and financial data workflow and analysis tools
  • 14+ years of investment in AI
  • GenAI features like Generative Search, Deep Research, Smart Summaries, and Generative Grid for enhanced and streamlined workflows
  • AI and genAI tools that users can apply to integrated internal content alongside platform content
  • 4,500+ pre-built financial models that update automatically
  • Live transcripts that allow users to view past, present, and future event transcripts in a calendar and view event transcripts in real time
  • Automated and customizable real-time alerts
  • All-in-one research platform
  • User-friendly interface
  • Internal note-taking, sharing, and collaboration features
  • Support for APIs and integrations
  • Supports enterprise-level organizations and teams
  • A mobile app designed for on-the-go workflows, providing access to our full content library, generative search, and alerts
  • Enterprise-grade data production complying with global security standards: SOC2, ISO270001, FIPS 140-2, SAML 2.0
  • Excellent customer support team, including 24/7 chat with product specialists, a Live Help button on the website, and regular live AlphaSense Education webinars

AlphaSense Cons:

  • Visualization tools are limited at this time
  • Collaboration tools are limited to users with AlphaSense licenses

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PitchBook

Best for: Private market financial data for deal sourcing, fundraising, and due diligence

PitchBook is a leading financial data and private market intelligence platform, and one of the closest alternatives to CB Insights for teams involved in deal sourcing, fundraising, and due diligence. It is widely used by venture capital firms, private equity investors, investment banks, and M&A advisors to research companies, track transactions, and analyze capital markets activity.

Like CB Insights, PitchBook provides extensive coverage of private companies, funding rounds, and investors. However, the two platforms differ significantly in their approach. While CB Insights emphasizes market intelligence, emerging technology trends, and narrative-driven insights, PitchBook is more focused on financial data, deal-level intelligence, and valuation analysis. This makes it particularly well-suited for teams that require granular financials and transaction data, rather than high-level market mapping or innovation insights.

PitchBook is strongest in tracking companies that have raised institutional capital and in analyzing the behavior of investors, funds, and deals. However, it has more limited coverage of very early-stage startups and is less optimized for broad startup discovery or emerging sector identification compared to CB Insights. Additionally, while PitchBook has introduced AI features, its capabilities remain primarily focused on navigating structured datasets rather than synthesizing qualitative, cross-source intelligence.

Users who need deep coverage of early-stage startups or small businesses, or who require more advanced AI search capabilities, may need to supplement with an additional platform.

Related Reading: PitchBook vs CB Insights

PitchBook vs AlphaSense

PitchBook Alternatives

PitchBook incorporates the following key features in its platform:

Extensive Company and Deal Coverage

PitchBook has profiles on millions of companies across the globe. For all of these, it tracks M&A, venture capital, private equity, and debt financing deals. The platform also provides valuations, pre-/post-money metrics, financial histories, and exit data.

PitchBook primarily focuses on companies that have raised institutional capital, not early-stage startups. Additionally, the platform is optimized for deal intelligence, not holistic market intelligence.

Investor, Fund, and LP Data

PitchBook provides detailed records on 450K+ investors and 110K+ funds. This includes fund strategies, portfolio performance, LP commitments, and fundraising activity. This data can help teams understand competitive investment dynamics, co-investor behavior, and how strategic peers are deploying capital across markets.

Financials and Non-Financial Metrics

For the companies indexed in the platform, PitchBook provides access to company financial statements, debt structures, and valuation multiples. It also includes non-financial metrics like patent data, employee counts, web traffic, hiring signals, mobile app reviews, and social media following.

While these alternative data points can help surface early signals, they are typically directional rather than definitive and may require validation through deeper qualitative research — particularly for strategic decision-making.

Advanced Search Filters

Using Pitchbook’s advanced search tools, users can find deep insights on companies, deals, investors, debts, and lenders. Users can search industries by name, location, age, investors, lenders, and funding stage.

AI Search Technology and Summaries

In recent years, PitchBook has incorporated several AI features in its platform. PitchBook Suggestions uses machine learning and natural language processing to enhance search and discovery. AI-generated summaries help users quickly digest key elements of company profiles, with each summary point linking to relevant data within the profile for deeper exploration. PitchBook also has a VC Exit Predictor, which uses AI to forecast exit potential for VC-backed companies.

While these AI features improve discovery and efficiency within PitchBook’s structured data environment, they are primarily optimized for navigating PitchBook’s proprietary datasets rather than synthesizing broader qualitative market intelligence.

Emerging Spaces

Pitchbook uses the Emerging Spaces feature to introduce investors and financial experts to new and emerging spaces. That helps teams learn about trending markets and explore alternative investment opportunities.

High-Quality User Interface

Much like AlphaSense, Pitchbook has an intuitive user interface that allows professional and industry experts to integrate the tool into their workflows. It’s easy to navigate, search, and explore different companies and their detailed profiles from the Pitchbook Interface.

Moreover, users can also access Pitchbook from their PCs or smartphones, allowing them to carry and access insights on the go.

Integrations and APIs

Pitchbook supports integrations and APIs that allow you to import and export data to other applications. Also, they offer a Google Chrome extension that enables you to access their services directly from your browser. Most recently, PitchBook has announced partnerships with Anthropic, Rogo, Hebbia, and Perplexity, which allow PitchBook’s data to be used within broader AI workflows outside the platform.

PitchBook Pros:

  • Provides access to a wide array of information, including company patents, equity research, financial analysis, information on former and current company investors and more
  • Robust tool for private market discovery and deal benchmarking
  • Platform supports peer analysis of companies, funds, and deals
  • Advanced search filters help investors access deep insights into companies
  • Incorporates advanced AI search technology and AI summaries
  • Users can upload internal content
  • Emerging spaces for investors looking to capitalize on new and alternative markets
  • Users can create custom alerts and dashboards for tracking news and market updates
  • Supports integrations from third-party software
  • Incorporates visualization and reporting tools
  • Incorporates collaboration and customization tools

PitchBook Cons:

  • Not built for holistic, comprehensive qualitative market intelligence
  • Data depth and quality may vary, especially for private companies
  • Not a full document review or contract risk platform
  • Limited qualitative insights that are critical for due diligence
  • Lacks access to an expert call library
  • Limited access to global filings; focus is on U.S. companies
  • No smart synonyms or sentiment analysis features
  • No indexing or AI search for internal content

Bloomberg

Best for: Teams focused on public markets, financial analysis, and real-time market data, rather than startup discovery or innovation intelligence

Bloomberg Terminal is a legacy data terminal that offers market data, analytics, and trading tools and is widely regarded as the default system of global trading floors and buy-side institutions. While it overlaps with CB Insights in areas like company intelligence, market monitoring, and access to qualitative content, it serves a fundamentally different primary use case.

Unlike CB Insights, which is designed for startup discovery, private market intelligence, and emerging technology insights, Bloomberg focuses on public markets, financial analysis, and real-time decision-making. As a result, Bloomberg is far better suited for hedge funds, asset managers, and investment banks than for corporate strategy or innovation teams focused on early-stage markets.

Bloomberg does provide access to a wide range of qualitative and quantitative data — including financials, news, filings, and analyst reports — which can support aspects of market intelligence workflows. However, it lacks the structured startup datasets, sector mapping, and innovation-focused insights that define CB Insights. For teams evaluating alternatives, Bloomberg is best viewed as a complementary platform or partial substitute, rather than a direct replacement.

Being a legacy solution, Bloomberg has historically struggled to keep up with modern, AI-native competitors, due to its more conservative approach to new technology, dated interface, and relatively steep learning curve. Despite this, Bloomberg has made some investments in AI technology in recent years in order to stay competitive, such as introducing a conversational agentic AI interface called AskB. Compared with AI-native platforms, however, Bloomberg’s AI tech stack is much more fragmented and struggles with synthesis and end-to-end workflows.

Related Reading: Bloomberg Terminal Alternatives

AlphaSense vs Bloomberg

Bloomberg Terminal incorporates the following key features:

Comprehensive Company Financial Data

A core part of due diligence is having access to deep market and financial information, and Bloomberg Terminal provides access to full financial statements for a wide array of public and private companies. It provides historical and forward-looking data (such as revenue, margins, EPS, cash flow, etc.), as well as customizable time series for trend analysis and modeling. This data can also be easily exported to Excel for valuation or ratio analysis.

Real-Time Qualitative Insights

In addition to offering real-time financial market data for stocks, bonds, commodities, currencies, and derivatives, Bloomberg also offers real-time news coverage of companies, industries, and markets worldwide via Bloomberg News. It also provides access to equity research reports from leading analysts, as well as SEC filings, earnings call transcripts, press releases, and corporate events directly within the platform. Compared to CB Insights, it’s a better source of real-time information and public company analysis, but offers less depth in startup and innovation ecosystems.

Analytics and Modeling Tools

Bloomberg Terminal incorporates various analytics tools to enhance due diligence workflows:

  • Built-in financial ratio libraries
  • Valuation metrics such as P/E, EV/EBITDA, ROIC, P/B, and custom multiples
  • Peer comparison tool
  • Equity screening tool

Additionally, the platform offers advanced charting and financial modeling tools for data visualization and analysis.

Agentic AI Capabilities

Bloomberg recently debuted AskB, its conversational agentic AI interface that supports natural-language queries to run multi-step research workflows. AskB is currently still in beta for equity analysts, portfolio managers, and traders. However, this feature is essentially bolted onto a legacy, command-driven terminal. While it accelerates information retrieval, it does not fundamentally redesign workflows or automate end-to-end investment outputs — unlike what an AI-native platform can offer.

AI-Powered Document Insights

Bloomberg provides users with robust AI-powered search and summarization capabilities, allowing them to query and extract insights from financial documents using natural language — resulting in enhanced and more efficient workflows.

Bloomberg Pros:

  • Deep real-time pricing and liquidity data across major global public markets; standard source of intraday market data on trading floors
  • Integrated trading workflow tools to monitor markets and assess risk
  • Fast, integrated news and macro data that feed directly into trading and portfolio workflows
  • Strong analytics, screening, and charting for multi-asset strategies, plus portfolio and risk tools used by hedge funds and banks
  • Can be connected to some internal systems via feeds, APIs, and files, primarily for pricing, positions, and analytics
  • Agentic AI features to help users query data and generate code or analyses faster
  • AI-powered search and summarization capabilities for accelerating workflows

Bloomberg Cons:

  • Limited proprietary fundamental, expert, or alternative data; users must supplement with additional platform to perform deep industry or thematic research
  • AI and genAI capabilities are less robust and well-integrated than in AI-native competitor platforms
  • Not built as a central hub for unstructured internal content; integrating and searching firm-specific qualitative data is constrained and manual
  • Does not natively automate key research or financial workflows
  • Provides access to GLG expert transcripts, but no live expert calls or expert network functionality
  • Limited broker research access for corporate users
  • Legacy UI, command-driven navigation, and multiple steps for common tasks

Tracxn

Best for: Teams focused on broad startup coverage and sector landscapes, rather than deep strategic analysis or integrated market intelligence

Tracxn is a global private market intelligence platform and one of the closest alternatives to CB Insights for teams focused on startup discovery, sector landscaping, and ongoing market monitoring. The platform combines machine-assisted data collection with human curation to surface deal opportunities, market trends, and competitive landscapes for private market investing and corporate innovation efforts.

Like CB Insights, Tracxn provides extensive coverage of private companies, funding activity, and emerging technology ecosystems, enabling teams to identify and track opportunities across industries and geographies. However, while CB Insights emphasizes curated insights, market narratives, and analyst-driven perspectives, Tracxn is more data-centric and taxonomy-driven, offering highly structured company classification and discovery workflows.

This makes it especially effective for teams that prioritize systematic sourcing and broad market coverage over synthesized strategic insights. However, the platform lacks key qualitative content sets such as broker reports, expert calls, public company documents — which means a supplementary tool may be necessary for holistic market intelligence.

Tracxn’s key features include:

Comprehensive Startup and Private Company Database

Tracxn tracks millions of global private companies and categorizes them across thousands of industry sectors and business models, providing profiles that include funding rounds, investor history, valuations, market segments, key executives, and more. This enables teams to identify potential targets aligned with strategic priorities.

Sector and Emerging Market Intelligence

Tracxn organizes companies into highly granular sectors and emerging themes, such as AI, health tech, and enterprise software, enabling teams to scan industry landscapes and uncover nascent opportunities before they attract broader attention. This is similar to CB Insights’ market maps, but with a more structured, data-first approach.

Deal Discovery and Workflow Tools

The platform supports deal flow discovery with customizable alerts, advanced filters, and CRM-like functionality. Users can track live deals, monitor funding activity, set alerts on key events, and organize prospects into pipelines.

Analyst Support

Tracxn provides MyAnalyst support, where users can submit specific research questions and receive curated insights from trained analysts, adding qualitative depth on top of automated data aggregation.

Portfolio Tracking and Competitive Benchmarking

Teams can monitor portfolio companies, track funding and M&A activity, evaluate peer performance, and benchmark performance across sectors. This supports both diligence and post-investment strategy.

API, Integrations, and Data Export

For teams building custom workflows or embedding insights into internal systems, Tracxn offers API access, data exports, and integration options to support internal analytics and reporting pipelines.

Tracxn Pros:

  • Deep global coverage of private companies and startup ecosystems
  • Strong sector taxonomy and emerging technology categorization
  • Customizable discovery tools and alerts for proactive sourcing
  • Analyst support for qualitative context beyond raw data
  • Portfolio tracking and benchmarking features for strategic monitoring
  • Integrates with workflows via APIs and data exports

Tracxn Cons:

  • No access to qualitative public company documents, such as filings and earnings transcripts
  • No expert calls
  • No broker research
  • Raw quantitative data that often requires supplemental qualitative analysis and synthesis
  • Less focus on real-time macroeconomic or sentiment signals than some competitors
  • May require additional tools for narrative development and internal storytelling

How to Choose an Alternative to CB Insights

With CB Insights, you can access market intelligence for most private tech companies. While it may meet some expectations and be the right tool for certain organizations and individuals, it certainly won’t work for everyone. When assessing potential alternatives, consider the following benchmarks:

  • Intended use case: CB Insights works well for venture capitalists, private equity firms, and corporate development teams, particularly those looking for new opportunities in the tech space. Some of the alternative platforms listed above are better geared for public markets analysis, deal sourcing, due diligence, or full-scale market intelligence. Consider what your business and research needs are, and select the platform that is designed to serve those needs.
  • Data coverage: CB Insights offers multiple data points on private tech companies, including venture capital, financing, valuations, and proprietary data. Consider whether this data is enough for your needs, or whether you need information on public companies, or non-tech companies and industries. When choosing an alternative, ensure that the platform provides reliable, differentiated insights that will give you the competitive edge.
  • Additional features: Can your alternative give you more value for your purchase than what CB Insights offers? Ensure your chosen alternative offers extra features that make a difference, like ESG reports, broker research, expert calls, AI search capabilities, and generative AI. All these features will help you get an edge over the competition.

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Try AlphaSense for Free

Elevate your research and enhance your strategic decision-making with AlphaSense. Get immediate access to real-time market intelligence, news, and interviews, coupled with market-leading AI-based search features and customizable alerts. With AlphaSense, you can make informed decisions, and stay ahead of the competition by never missing out on a crucial insight again.