AI Market Watch is a comprehensive intelligence platform that tracks thousands of global AI startups across 25+ categories. We provide institutional-grade VC analysis, real-time funding data, and AI-powered discovery tools to help investors, researchers, and industry professionals navigate the rapidly evolving AI ecosystem.

Our platform serves venture capitalists and angel investors evaluating AI investment opportunities, corporate development teams scouting for partnerships or acquisitions, researchers and analysts studying the AI landscape, entrepreneurs benchmarking against competitors, and journalists covering AI industry developments.

We specialize exclusively in AI and machine learning companies, providing depth over breadth. Our key differentiators include: (1) LLM-evaluated VC scores across 6 investment dimensions for every company, (2) Patent-pending DNA Matching technology for finding similar startups, (3) Real-time early signals detection from Product Hunt, GitHub, and funding announcements, (4) Comprehensive investor database with portfolio information, and (5) Export capabilities for external analysis.

We currently track thousands of AI startups across 25+ specialized categories including Generative AI, Healthcare AI, Fintech AI, AI Agents, Developer Tools, Cybersecurity AI, Computer Vision, NLP, Robotics, and more. Our database is continuously updated with new companies and funding information.

Each company profile includes 100+ data points: company overview, CEO and team information with LinkedIn profiles, complete funding history (rounds, amounts, investors, valuations), VC analysis scores across 6 dimensions, product descriptions, value propositions, key partnerships, customer information, patents/IP, geographic focus, growth metrics, and media assets including demo videos and screenshots.

Our data refresh varies by type: Company profiles and funding data are updated continuously with 10-30 minute cache intervals. News content revalidates every 5 minutes. Early signals (Product Hunt, GitHub activity) are detected in real-time. Dashboard statistics refresh every 10 minutes. We track timestamps for all data points so you can see when information was last verified.

We implement a confidence scoring system (0-100) for all funding data. Each funding round includes source attribution, validation status, and freshness indicators. We aggregate data from multiple sources including public filings, press releases, and verified databases. Users can also report corrections through our data quality system, which are reviewed by our team.

Yes! Our Investors Database includes hundreds of AI-focused investors including venture capital firms, angel investors, and corporate VCs. Each investor profile shows their investment stage focus, sector expertise, geographic regions, portfolio companies, and investment history. You can filter investors by stage, category focus, and location.

AI Market Watch uses a hybrid search system combining three approaches: (1) Text-based fuzzy matching for company names and descriptions, (2) Semantic/vector search using AI embeddings for meaning-based discovery, and (3) Intent detection that understands if you're searching for business models, technology, or organizational aspects. You can search in natural language like "AI companies helping hospitals reduce costs" and get relevant results.

You can filter companies by: 25+ AI categories (Generative AI, Healthcare AI, etc.), geographic location (by country or city), funding stage (Seed, Series A through F+), and custom date ranges. All filters work in combination, and you can see active filter counts. The Data Table view offers additional column-specific filtering and sorting.

DNA Matching is our patent-pending technology that finds startups with similar "genetic profiles" across 6 VC dimensions. When you find a company you're interested in, DNA Match reveals similar companies based on business models, technology stacks, market positioning, funding patterns, and growth trajectories. The results include similarity scores, explanation of why companies match, key differentiators, and strategic recommendations.

Early Signals is our real-time detection system that identifies emerging AI startups before they hit mainstream. We track Product Hunt launches, GitHub activity, funding announcements, team growth indicators, and technology releases. This helps you discover promising companies at their earliest stages and spot market opportunities ahead of the crowd.

Yes! Registered users can bookmark companies for quick reference. Your saved companies are organized in a personal collection accessible from the Bookmarks page. This feature requires a free account to keep your selections private and synced across devices.

Our VC Score evaluates startups across 6 key dimensions using LLM-powered analysis: Team (25% default weight) - CEO experience, team composition, CTO presence; Market (20%) - category attractiveness, geographic reach, competition; Technology (20%) - AI/ML innovation, patents, value proposition; Funding (15%) - total raised, velocity, investor quality; Growth (10%) - valuation milestones, revenue metrics; Differentiation (10%) - competitive moats, market positioning. Each dimension scores 1-10, with an overall grade from A+ to F.

Yes! Our Methodology page allows you to adjust scoring weights based on your investment criteria. You can change category-level weights (Team, Market, Technology, etc.) and detail-level weights within each category. We also provide stage-specific presets for Early Stage, Growth Stage, and Late Stage companies, as different stages warrant different evaluation emphases.

Based on VC scores, we generate investment signals: Strong Buy (exceptional across all dimensions), Buy (solid fundamentals with growth potential), Hold (mixed signals requiring further diligence), Weak (significant concerns in key areas), and Pass (fundamental issues or red flags detected). These are algorithmic signals meant to inform, not replace, your investment judgment.

Yes, our analysis system flags potential concerns such as inconsistent funding data, unusual team composition patterns, market positioning issues, and other factors that might warrant additional due diligence. Red flags are displayed on company profiles with explanations, though they should be verified with your own research.

Yes! The Data Table page offers export functionality in two formats: CSV for spreadsheet analysis (Excel, Google Sheets) and JSON for programmatic use. You can export the full dataset or apply filters first to export only relevant companies. Exported data includes all 100+ fields available per company.

We provide API endpoints for various data access needs including company search with filters, dashboard statistics, investor data, and more. API access is available for enterprise users. Contact us for API documentation and access credentials.

The platform fully supports English and Korean with hreflang tags for SEO. Our search system includes automatic language detection and translation, so you can search in either language and find relevant results. The interface, metadata, and content are available in both languages.

Yes, AI Market Watch offers free access to our core features including the company database, search functionality, filtering, VC scores, and company profiles. Some advanced features like bookmarks require a free account. We may introduce premium tiers for additional features like API access and enhanced export options in the future.

No account is required to browse companies, search, filter, and view VC analysis. However, a free account unlocks personal features like saving bookmarks, customizing methodology weights, and receiving our newsletter with market insights and new company alerts.

Subscribe to our newsletter for regular updates on newly added AI startups, significant funding rounds, market trend analysis, and exclusive insights from our research team. You can manage your subscription preferences from your account settings or unsubscribe at any time.