Startup-Provided Information: Uploaded financials (e.g., revenue, growth rates, cost structure), team backgrounds, pitch decks, and roadmap milestones.

Platform-Generated Metrics: Community engagement metrics (e.g., how many investors are following or watching a startup), trading activity on the startup’s tokens, and user ratings or reviews.

External Data (If Feasible at MVP): Publicly available data such as market size estimates, relevant industry news, or macroeconomic indicators.

Document Parsing & Basic NLP: The MVP can leverage natural language processing to analyze text-based data (pitch decks, descriptions, annual reports, etc.) and extract key phrases (e.g., “annual revenue,” “growth,” “partnerships”) for quick investor reference.

Scoring Algorithms: A simple scoring model, using weighted factors (e.g., revenue growth rate, founder track record, social media buzz), can present a “Dealflow Score” or “Risk Level” for each startup. Investors can quickly see which opportunities might be most appealing.

Trending Startups: The system can highlight startups experiencing above-average token trading volume or spikes in investor watchlists, indicating heightened interest.

Dealflow Dashboard: Within the investor portal, users see a list of startups ranked by a basic AI-generated score.

Contextual Insights: Clicking on a startup reveals key highlights (e.g., top 3 reasons to invest, summarized financials) pulled from the AI analysis.

Basic Alerts: Investors can set simple preferences (e.g., “Notify me when a startup’s dealflow score crosses X threshold” or “Alert me if monthly revenue exceeds Y”).

Predictive Analytics: Machine learning models trained on historical data to predict potential growth or future fundraising needs.

Sentiment Analysis: Monitoring social media, press releases, or public blockchain data for real-time sentiment around each startup or sector.

Advanced Portfolio Suggestions: Personalized investment recommendations based on each investor’s risk profile and past investment history.

Standard Agreements: The MVP will include a library of basic contracts (e.g., share transfer agreements, NDAs, founder vesting contracts) that can be auto-filled using startup-specific data, and are used with the coin as well. Charlie will help in depth on this creation.

Clause Selection & Explanations: The AI helps founders choose relevant clauses, providing plain-language explanations of each section. This reduces the complexity of legal jargon and ensures the final document aligns reasonably with their needs.

Modular Templates: The system will store different document templates to accommodate region-specific requirements where possible, though complete legal compliance remains subject to final human/legal review.

Financial Statement Templates: The AI guides startups in properly formatting financial data, generating standardized P&L statements, balance sheets, and cash flow statements.

Error Checking & Basic Analysis: Automated checks detect glaring inconsistencies or missing data (e.g., unreconciled expenses or out-of-range revenue figures), then prompt the founder to correct them.

Preliminary KPI Calculation: Simple metrics (burn rate, gross margin, etc.) can be automatically calculated and displayed for clarity—useful both for the startup’s management and for investor evaluations.

Step-by-Step Onboarding: A wizard-like interface walks founders through entering data, selecting relevant templates, and customizing contract clauses.

Dashboard Summaries: Startups can quickly view AI-generated financial summaries, crucial business metrics, and recommended next steps.

Export & Preview: Users can download or preview final documents (e.g., in PDF) to share with their legal counsel, ensuring the AI output can be easily reviewed by professionals.

Advanced Compliance Checks: Deeper integration with region-specific regulatory frameworks to flag non-compliant document wording or missing legal disclaimers.

Tax Calculation & Filing: Expanded accounting functionality that addresses tax forms, allowable deductions, or multi-currency transactions.

Adaptive Learning: The AI refines its suggestions over time as more startups use the system, helping produce increasingly accurate and industry-specific documents.