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Top Due Diligence Software for 2026 (Buyer's Guide)

By Nicole Sheynin - Content Marketing SpecialistNovember 6, 2025
due diligence tools

Due diligence is a linchpin of all informed, confident, and risk-aware business decisions for enterprise organizations. Because of the high-stakes nature of this process, it’s imperative that you have full confidence in the accuracy, scope, and comprehensiveness of the data you are using.

For this reason, professionals conducting due diligence across various domains — investment banking, corporate strategy, venture capital, private equity, consulting, and legal — turn to due diligence software that allows them to streamline and automate the process without compromising on precision.

The due diligence tools of today are designed to address the challenges most organizations are facing — information overload, regulatory risk, and the time-intensive nature of manual processes. These tools centralize intelligence, automate analysis, and ensure compliance — all while saving you precious time and resources.

At the same time, due diligence software is not all made equal. Some platforms have built-in content sets, AI search capabilities, and automated diligence workflows to take all the manual effort out of the equation. Others act more as a virtual data room where you can upload your own documents and then use the tool to streamline operational due diligence tasks.

Below, we cover the top due diligence tools available on the market today that help forward-thinking organizations make smarter, safer business decisions. We also explore the strengths and weaknesses of each, and how you can choose the tool that is right for your business needs.

AlphaSense

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

AlphaSense is a leading enterprise-grade AI-driven intelligence platform built for robust market and investment research. Consistently ranked as an industry leader by TrustRadius and G2, AlphaSense was also recently named one of Fortune’s Top 50 AI Innovators. AlphaSense clients include 90% of the top asset management firms, 80% of the top investment banks, 80% of the top private equity firms, and 88% of the S&P 100.

AlphaSense incorporates the following key features that support deep due diligence:

Qualitative and Quantitative Insights in One Place

AlphaSense is the only tool that combines public and private financial data with expert call transcripts, broker research, news, and AI search in one place. This means you get all the numbers, as well as the qualitative narrative that provides context to those figures, so you can make smarter and better informed decisions. Our library of qualitative content includes:

  • Wall Street Insights® collection of equity research that features more than 1,000 broker sources, including Goldman Sachs
  • Expert calls, which includes over 200K interviews with pre-qualified experts and the ability to conduct your own 1:1 calls with 70% cost savings compared to traditional expert networks
  • Company documents, such as earnings transcripts, company presentations, SEC and global filings, ESG reports, and press releases
  • News, trade journals, and regulatory coverage

In July 2024, AlphaSense acquired expert network company Tegus, bringing unparalleled access to even more insights, and covering more industries and companies than ever before. Learn more about the combined offering at AlphaSense and Tegus.

Financial Data

On the quantitative side, AlphaSense provides access to the following crucial insights:

  • Historical Financials & Estimates: Standardized statements and consensus data across 17,000+ public companies
  • Sector-Specific KPIs: Detailed operating metrics sourced from institutional-grade Canalyst models
  • Transaction Intelligence: Nearly 1M M&A deals and 680K private funding rounds, enriched with AI-generated deal rationale and strategic context
  • Dynamic Peer Sets: 125+ pre-built industry comparables with sector-specific metrics

Additionally, AlphaSense guarantees source-level auditability of every datapoint — reducing risk and increasing confidence in high-stakes decision making.

Enterprise Intelligence

AlphaSense’s Enterprise Intelligence solution allows you to integrate and query your own internal content alongside the premium external sources listed above. This includes:

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

In this way, AlphaSense centralizes all your internal and external knowledge in one place, and allows you to leverage our industry-leading search, summarization, and monitoring tools to enhance and accelerate your research.

Our genAI capabilities deliver instant, accurate, and secure summarizations with the ability to ask follow-up questions across both your proprietary internal content and hundreds of millions of premium external documents — easily citable and verifiable.

AI Search & Summarization Technology

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

Generative Search

Our genAI chat experience transforms how users can extract insights from hundreds of millions of premium content sources. Generative Search is trained to think like an analyst, so it understands the market research intent behind your natural language queries. You can dig deeper into topics by asking follow-up questions or clicking on the citation to instantly go to the exact snippet from where the information was sourced. Generative Search is constantly evolving and incorporates a variety of reasoning models and agentic workflows.

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

This feature allows users to glean instant earnings insights (reducing time spent on research during earnings season), quickly capture company outlook and bull/bear cases from analyst research, and generate an expert-approved SWOT analysis straight from former competitors, partners, and employees. All summaries provide links to the exact location in the text from where the summaries pull — combining high accuracy with easy verification.

Smart Synonyms™

This unique feature is proprietary to AlphaSense and has the ability to understand both the keyword and search intent behind any of your queries, factoring in search results that include variations in business language. For example, a search for “TAM” will also bring back results on “market size.”

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

AlphaSense helps research professionals conduct key workflows with greater speed and confidence by incorporating the following features in the platform:

  • Generative Search Integration: Surface insights across structured data and qualitative content with full source citations, producing more complete research capabilities.
  • Natural Language Screener: Use simple prompts to discover equities, funding rounds, and M&A transactions.
  • 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 workflows: Built by industry insiders for specific research workflows like company and deal screening, comp tables, and due diligence.
  • Domain-Specific AI: Unlike generic AI tools, our financial AI understands sector dynamics, valuation methodologies, and market context.

Company Perspectives (BamSEC)

Make quantitative investment research easier by transforming how you work with public company data. By streamlining access to SEC filings, earnings and events transcripts, financial documents, and more, BamSEC enables analysts to focus on what matters, save time, and do better work.

BamSEC allows users to search across multiple companies and SEC filings. Customers can use these documents to perform due diligence on companies and explore performance metrics efficiently. Using the tables on BamSEC, users can explore past filings, create models, and benchmark company performance, all in one place, without needing to pull up individual filings to manually track a company’s metrics.

Financial Modeling (Canalyst)

Gain instant access to over 4,500 global fundamental models and over 60 industry dashboards, all hand-built and sourced by sector-focused analysts. Unlike building your own models and comp sheets, using our off-the-shelf models, dashboards, and data reduces your time spent on undifferentiated work, allowing you to compete on your ability to analyze the data, not aggregate it.

Integration Capabilities

Customers can easily and securely integrate content at enterprise scale through our Ingestion API or enterprise-grade connectors — like Microsoft 365/Sharepoint, Box, Google Drive, S3, and more. Our integration capabilities allow for more streamlined collaboration with members across your organization and improve overall team 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.

Monitoring, Analysis, and Collaboration Tools

AlphaSense is designed to help users find insights faster. In order to do that, we offer a number of tools that extend beyond search and summarization to help users accelerate research tasks.

  • 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.
  • 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
  • 10+ years of investment in AI
  • Incorporates AI search technology, machine learning, and sentiment analysis
  • GenAI features like Generative Search, Deep Research, Smart Summaries, and Generative Grid for enhanced and streamlined workflows
  • AI and genAI tools that can be applied to integrated internal 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
  • Mobile app that includes all platform content and AI search capabilities
  • User-friendly interface
  • Internal note-taking, sharing, and collaboration features
  • Support for APIs and integrations
  • Supports enterprise-level organizations and teams
  • 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

Pricing

Subscription prices vary based on the number of users (for small- and medium-sized companies) and are customized based on the organization (enterprise- or company-level subscription packages). Contact the AlphaSense team to learn more, or start a free two-week trial here.

Bloomberg Terminal

Best for: Real-time financial data and market analytics, with in-depth industry reports

Bloomberg Terminal is one of the oldest and most widely used market research and analysis tools in the financial services industry.

Being a legacy solution, however, Bloomberg has historically struggled to keep up with modern 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, though their lack of experience in the space is clear. Compared to AI native platforms, Bloomberg’s AI tech stack still struggles with clunky UI, limited functionality, and an over-reliance on third-party tech.

Related Reading: Bloomberg Terminal Alternatives

AlphaSense vs Bloomberg

Koyfin 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. These qualitative insights are also crucial for in-depth due diligence.

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.

BloombergGPT

Bloomberg made its foray into genAI with its BloombergGPT large language model (LLM), which is purpose-built for finance and is trained on a vast range of financial data. The model facilitates natural language interaction and can assess market sentiment, as well as aid in the interpretation of complex financial texts. Bloomberg’s model is safeguarded against hallucination since all genAI responses must be grounded in Bloomberg content. However, it is not clear how the LLM interprets and handles queries.

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:

  • Real-time qualitative and quantitative insights, including proprietary, premium content sets
  • Global coverage and deep insights, especially for public markets
  • Strong analytics and integration into diligence workflows
  • Tools for internal collaboration and shared workspaces
  • Market execution and order management tools for seamless transition from research to trading
  • Custom charts, monitors, and alerts for market information
  • Purpose-built genAI functionality for finance
  • AI search and summarization capabilities

Bloomberg Cons:

  • AI and genAI capabilities are less robust than many AI-native competitor platforms
  • Steep learning curve for new users
  • Provides access to GLG expert transcripts, but no live expert calls or expert network functionality
  • Limited broker research access for corporate users
  • Lack of transparency around how the LLM interprets and handles queries

Pricing

Bloomberg does not publicly disclose its pricing, but according to industry sources, Bloomberg Terminal is one of the higher-priced options in the market, with annual subscription fees at $31,980 for a single terminal and $28,320 per terminal per year for multiple terminals. Bloomberg also bundles multiple services into its product, making it clunky and complex for the average user.

Hebbia

Best for: Extracting insights from complex unstructured documents — such as contracts, financial reports, and internal memos — using AI-powered search, reasoning, and workflow automation

Hebbia is an AI-powered research and reasoning platform that is designed for knowledge-intensive industries like finance, law, and consulting. Hebbia enables users to interact with vast amounts of unstructured data — documents, filings, transcripts, spreadsheets, and more — using natural language queries.

While Hebbia is mostly used to index users’ internal data, it also can source external content, such as company websites, news sources, and financial reporting data. However, Hebbia does not aggregate premium or proprietary external content sources, which are necessary for comprehensive due diligence and broader market intelligence.

Hebbia is primarily used to understand and synthesize information from multiple sources simultaneously using large language models. In this way, it saves users time and enables them to make decisions faster.

Related Reading: Hebbia Alternatives

AlphaSense vs Hebbia

Hebbia’s key features include:

Multi-Document Reasoning

Hebbia can analyze and synthesize insights from thousands of PDFs, PowerPoints, spreadsheets, and research reports in a single query, saving hours of time that would otherwise be spent on manual research. This allows users to scale and accelerate their due diligence processes. However, the documents that can be sourced from are limited to users’ internal data and public external sources, such as earnings calls, SEC filings, and news.

Chat and Workspace Interface

Hebbia’s chat-like interface allows users to easily ask natural language questions and get fast responses sourced from their uploaded internal data and public external sources. Results include citations, links, and suggestions for follow-up questions.

The workspace, known as Matrix, is a spreadsheet-like grid that serves as a collaborative multi-agent AI environment. In the grid, each cell represents an AI-generated answer or extracted insight from a specific source or set of sources. This allows knowledge workers to extract the insights they need from hundreds of documents at once.

Integrations

Hebbia integrates with both internal enterprise systems and external content systems, and these integrations then feed the retrieval and reasoning engine. This allows users to query across their entire body of knowledge without needing to toggle between different platforms or conduct manual searches. In addition to publicly available data sources, Hebbia integrates with tools like Slack, Microsoft Teams, DropBox, SharePoint, Google Drive, Snowflake, and Databricks to fit seamlessly into users’ existing workflows.

Hebbia Pros

  • High-volume document ingestion and multi-format support
  • Intuitive chat and matrix interfaces
  • Features intelligent semantic search across documents
  • Pre-indexes company filings and research
  • Supports uploads of private company data
  • Offers a full suite of collaborative tools and access controls
  • Features end-to-end encryption and enterprise-grade security

Hebbia Cons

  • Not full end-to-end diligence workflow platform
  • Relatively new in the market; product is still developing and learning
  • Only able to access public content; limited industry expertise
  • Must import data from external sources; does not come with pre-built domain data or curated content sets
  • Does not have access to proprietary content sources, such as broker research or expert calls
  • Lacks sentiment analysis features
  • LLM outputs can occasionally be inconsistent or require validation, especially with numerical or compliance-sensitive data

Pricing

Hebbia does not publicly disclose its pricing, but they offer custom quotes based on team size and planned usage. Contact Hebbia directly for more details.

PitchBook

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

PitchBook is a powerful financial data and market intelligence platform, primarily focused on private and public capital markets. It’s mainly used by venture capitalists, M&A advisors, investment banks, hedge funds, and private equity firms to research companies, track deals, source investments, and conduct due diligence.

Related Reading: PitchBook vs CB Insights

PitchBook vs Crunchbase

PitchBook vs AlphaSense

PitchBook Alternatives

PitchBook incorporates the following key features in its platform:

Extensive Company and Deal Coverage

PitchBook has profiles on 4.8M companies globally. 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.

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.

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.

Earnings Call Transcripts and Equity Research

PitchBook provides access to earnings call transcripts for public companies indexed in the platform, as well as institutional broker research from providers such as Morningstar, HSBC, Guggenheim, and Piper Sandler.

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 an array of 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.

Emerging Spaces

Pitchbook uses the Emerging Spaces feature to introduce investors and financial experts to new and emerging spaces. That helps investors 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
  • Deep private markets data
  • 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
  • Lacks qualitative insights 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

Pricing

PitchBook does not publicly disclose its pricing, but they offer custom quotes based on number of users and planned usage. Contact PitchBook directly for more details.

CB Insights

Best for: Due diligence on early-stage/non-traditional targets, particularly in the tech space

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’
  • Limited genAI and smart search functionality
  • Leans toward technology market use cases; lack of breadth and depth in other markets

Pricing

CB Insights does not publicly disclose its pricing. Custom quotes will depend on the number of users, types of use cases, contract length, and other factors. Contact CB Insights directly for more details.

Fiscal.ai

Best for: AI-generated charts and models, as well as limited financial data, for financial analysis

Fiscal.ai is an investment research platform that combines institutional-grade financial data, analytics, and conversational AI to support stock, ETF, and fund analysis. The platform supports due diligence on global public companies, but it may not provide enough coverage on private markets.

Fiscal.ai only offers access to filings, earnings transcripts, and quantitative financial data. It does not provide access to premium or proprietary sources such as broker research and expert call transcripts, which are crucial for comprehensive market research and due diligence. Additionally, its AI is not purpose-built for answering broad thematic questions and is likely to hallucinate in those cases. Because of these factors, the platform is not well-suited for in-depth industry analysis or macroeconomic research.

Fiscal.ai incorporates the following key features:

Global Financial Data

Fiscal.ai provides access to standardized financials for over 100,000 securities. This is key for due diligence, as it enables users to evaluate targets’ historical performance, trends in revenue/EBITDA, cashflow, and more.

Natural Language Querying

Fiscal.ai allows users to input queries in natural language, making it easy to search for specific financial data, company information, or market trends. This feature eliminates the need for complex financial databases or coding knowledge, enabling users to extract relevant information quickly and efficiently.

Real-Time Market Insights

Fiscal.ai provides real-time market insights by processing the latest news, earnings reports, and market movements. Users can get up-to-date information on stock prices, market trends, and economic indicators, helping them make timely investment decisions.

Document Analysis

One of Fiscal.ai’s key capabilities is its ability to analyze financial documents such as SEC filings, annual reports, and earnings call transcripts. It extracts key insights, summarizes critical points, and highlights important information, allowing users to digest large amounts of data without spending hours reading through documents.

Integration with Financial Data Sources

The tool integrates with various financial data sources, ensuring that users have access to a comprehensive range of information. This includes data from stock exchanges, financial news outlets, and regulatory bodies, providing a holistic view of the market landscape. However, this does not include access to broker research or expert calls — which are key to an effective and differentiated market research strategy.

Customizable Dashboards

Fiscal.ai offers customizable dashboards where users can monitor their preferred data feed, news, and market updates. This feature allows users to personalize their interface according to their specific needs and interests, ensuring they have quick access to the most relevant information.

Sentiment Analysis

Fiscal.ai includes sentiment analysis tools that evaluate the tone and sentiment of financial news, reports, and social media discussions. This helps users gauge market sentiment, identify potential market-moving events, and understand the broader impact of news on stock prices and investor behavior.

Fiscal.ai Pros:

  • User-friendly interface, similar to ChatGPT’s
  • Able to generate models and charts in-platform via natural language prompts
  • Cost-effective for smaller businesses or individual users
  • Employs guardrails against genAI hallucination and verifies accuracy of information to ensure reliable results
  • Provides paragraph-level citations and multiple sources for each snippet of a response
  • Robust compliance and SOC2 Type II accreditation

Fiscal.ai Cons:

  • Only includes filings, earnings transcripts, and financial data (from S&P Capital IQ)
  • No expert calls
  • Limited private markets data
  • Customized for investor workflows but lacks deep, domain-specific training of a fully verticalized LLM
  • Cannot upload documents and data at scale, which is crucial for enterprise organizations
  • Lack of transparency around how the LLM model interprets and handles queries

Pricing

Fiscal.ai offers several pricing tiers, depending on use case:

  • Free – includes limited access to historical financials and KPIs, dashboards, and events
  • Pro – $39/month; expanded version of the free plan with more years of financials and KPIs, more dashboards and events, as well as curated news and equity research
  • Enterprise – $199/month; everything in pro plan, as well as unlimited dashboards and events and additional features for full-time investing
  • API – custom quote; allows teams to get programmatic access to Fiscal.ai’s institutional-quality financial and business data

HudsonLabs Co-Analyst

Best for: Institutional-grade financial due diligence for public companies

Co-Analyst by Hudson Labs is a purpose-built AI research assistant designed for analysts and institutional investors working with public companies. Using AI, the tool helps with multi-document analysis, guidance detection, and auditability. The AI sources its answers from SEC filings, earnings call transcripts, investor presentations, and press releases — and it draws connections between the narrative commentary and quantitative insights.

This tool is well-suited for financial due diligence for public companies, as it is built for deep document and disclosure analysis. The platform was specifically designed for institutional-grade accuracy — the LLM employs guardrails against hallucination, and all AI-sourced insights have citations for easy verification. However, Co-Analyst has certain key limitations. It only covers U.S. public companies and ADRs, and there are no workflow management tools for diligence processes. Also, the tool is not suitable for any diligence other than financial and disclosure.

Co-Analyst incorporates the following features:

Source-Verified Document Analysis

Co-Analyst sources all its answers from qualitative data within its content library — SEC filings, earnings transcripts, investor presentations, and press releases. The tool occasionally also sources answers from the public web, depending on the user’s query. Each answer has an attribution for easy verification. However, the platform does not aggregate any premium or proprietary content that is integral for holistic market intelligence or due diligence.

Multi-Document, Multi-Period Synthesis

This tool allows queries across multiple documents and over time, and then it consolidates all results into tables or structured outputs.

Guidance and Soft Commentary Extraction

Co-Analyst extracts guidance, hedges, and soft commentary linked to numbers. This allows users to get more context for the story beneath the numbers, which can be highly useful for risk detection and comparative tracking.

Forensic Risk Assessment

Co-Analyst flags potential risks found in documents, which could include internal control weaknesses, auditor changes, SEC enforcement risk, and bankruptcy warnings. These are core components of risk-based financial due diligence and can help users identify potential accounting manipulation or governance risks early.

Workflow Features

To support streamlined workflows and collaboration, Co-Analyst incorporates the ability to save queries, create projects, execute custom queries, export results, share links, and more.

Co-Analyst Pros:

  • Well-suited for granular document analysis and metric extraction
  • Institutional-grade AI with source verification
  • Well-suited for financial and disclosure due diligence
  • Produces structured outputs, such as tables and numeric summaries
  • Highly useful for extracting guidance, red flags, forward-looking statements, and changes in language in financial documents

Co-Analyst Cons:

  • Not suitable for holistic thematic or macro-industry research
  • Coverage is limited to U.S. public companies and ADRs
  • Not suited for M&A due diligence on private targets
  • Limited workflow tools beyond financial due diligence
  • Not suitable for operational, legal, or compliance diligence
  • Platform content is limited to U.S. filings and investor communications
  • No premium or proprietary content sets

Pricing

Co-Analyst offers two pricing tiers:

  • Core – $100/month; limited queries and features; meant for individual users
  • Institutional – custom pricing; includes all features listed above

Contact Co-Analyst directly to receive a custom quote for the institutional plan.

Datasite Diligence

Best for: M&A due diligence and document management

Datasite Diligence is a subset of the larger Datasite company, which is specifically focused on M&A due diligence. In contrast to most of the other tools on this list, Datasite Diligence is primarily designed for deal execution, rather than insight discovery or holistic market intelligence. It supports multiple due diligence workflows, including document Q&A, redaction, folder management, and deal tracking. It also incorporates AI to support the operational side of diligence, though the AI is incapable of helping with insight generation or broad market research.

The platform does not offer any built-in content sets, but rather allows users to upload, manage, share, and review large volumes of documents securely. If your diligence requires sourcing broad external intelligence, you may need to supplement Datasite with another tool.

Datasite Diligence incorporates the following key features:

Content Management

Datasite Diligence makes it easy for users to bulk-upload whatever documents are required for diligence.

AI Capabilities and Automation

Datasite Diligence incorporates AI to automatically tag documents, redact personally identifiable information, and support document workflow automation. These AI capabilities are not meant for deep domain insight or large-scale thematic research.

Security and Auditability

The platform incorporates multiple data privacy features and security protocols to ensure all sensitive information is secure. Additionally, every action performed in the platform is logged down to page-level and user for streamlined compliance.

Workflow and Collaboration Tools

Datasite includes various workflow and collaboration tools that make it easy for teams to conduct due diligence processes securely and efficiently. These include an integrated Q&A module, project dashboards with real-time analytics, and centralized checklists for better organization and team alignment.

Datasite Diligence Pros:

  • Specifically intended to support due diligence processes
  • Enterprise-grade security and compliance
  • Strong document management, search, and collaboration tools
  • Strong AI capabilities that streamline and enhance diligence workflows

Datasite Diligence Cons:

  • Not built for holistic market research or external insight discovery
  • No built-in content sets
  • Limited private markets coverage
  • No AI capabilities for insight discovery

Pricing

Datasite Diligence offers custom pricing, depending on storage volume, number of users, project duration, and required features. Contact Datasite Diligence for a quote.

How to Choose the Right Due Diligence Tool for You

Due diligence tools are not all made equal. While each of the tools on this list is effective and reliable for certain use cases, that does not mean they will automatically be a worthwhile investment for your organization. Particularly if you are looking for a tool that will fit the needs of a fast-moving enterprise organization, you need to ensure that it has all the necessary features to support your due diligence end to end.

Here are the questions to answer when selecting an due diligence tool for your organization:

What are your business needs? Are you simply looking for a tool that will help you with a particular niche component of due diligence, or do you need a holistic comprehensive tool that will help you conduct due diligence while also providing a complete context of relevant market information? The tools on this list all have varying use cases, so consider which tool will check the most boxes for you in terms of streamlining and enhancing your everyday workflows.

What types of data are you evaluating? Some organizations may simply be looking for a tool that will help them centralize and analyze their own information but that offers no additional content. Other organizations need access to premium, proprietary data sources — in addition to their own internal data — for complete due diligence. The tools on this list have a wide range of content access, from no built-in content at all to only public web content to premium content. Consider what data will best support your complete due diligence.

How much customization and workflow automation do you need? Customization can be critical in due diligence because processes vary widely depending on industry, transaction type, regulatory environment, and organizational priorities. How customizable are dashboards, reports, and alerts that you can set up with the platform? And most importantly, is the tool intuitive and user-friendly, so that the various customizations you do actually streamline and accelerate your workflows, rather than add unnecessary complexity?

Does the tool incorporate AI to speed up manual workflows? Artificial intelligence can dramatically increase the speed and scale of diligence, while pulling out deeper insights and helping with pattern recognition. It’s important to choose a tool that not only incorporates AI, but takes measures to ensure each AI output is trust-worthy and accurate. Always ensure that the AI is sourcing insights only from trusted, premium sources — rather than the entire web — and that it provides citations for easy verifiability.

What level of data protection and compliance do you need? For organizations with sensitive data, it’s critical to select a tool that has robust compliance and end-to-end data security standards. For individual or consumer-grade usage, compliance and data privacy are less important.

Does it connect with internal data systems or APIs for automation? Particularly for enterprise-grade teams, it’s crucial to select a tool that integrates seamlessly with internal data systems and APIs. That way, you are not having to toggle between multiple platforms, but rather, you have all your knowledge in one centralized place where you can easily interrogate and discover it — resulting in greater efficiency and comprehensiveness.

Try AlphaSense for Free

AlphaSense is the only tool on this list that checks all the boxes, which is why it’s consistently the top choice for due diligence and overall market intelligence for the world’s top firms. 

By integrating qualitative and quantitative data along with market-leading AI technology that is purpose-built for business and finance use cases, AlphaSense enables smarter, faster workflows that cut hours of manual effort so you can focus on high-value strategy and analysis.

If you are part of a forward-thinking organization that is looking to accelerate and enhance your due diligence process with the power of premium content and AI, AlphaSense is the right tool for you.

Get Started for Free Today

About the Author
  • Nicole Sheynin - Content Marketing Specialist

    Fueled by empathy-driven storytelling and good coffee, Nicole is a content marketing specialist at AlphaSense. Previously, she has managed her own website/blog and has written guest posts for various other publications.

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