{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_dealight","slug":"dealight","name":"Dealight","type":"product","url":"https://www.dealight.ai","page_url":"https://unfragile.ai/dealight","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_dealight__cap_0","uri":"capability://data.processing.analysis.pitch.deck.structural.analysis.and.optimization.scoring","name":"pitch deck structural analysis and optimization scoring","description":"Analyzes uploaded pitch decks against a learned model of successful funding patterns, scoring structure, narrative flow, slide sequencing, and key metrics presentation. The system likely uses computer vision (PDF/image parsing) combined with NLP to extract text content, then applies a trained classifier or regression model to identify gaps against historical successful decks. Provides actionable feedback on specific slides and overall deck composition rather than generic suggestions.","intents":["I need to know if my pitch deck structure matches what investors expect to see","I want specific feedback on which slides are weak and why, not just a general score","I need to understand how my narrative flow compares to successful funding rounds in my space","I want to optimize my metrics presentation to highlight the most compelling data points"],"best_for":["Series A-ready founders with existing pitch decks seeking data-driven refinement","Founders who have already iterated on messaging and need structural optimization","Teams preparing for investor roadshows with limited time for multiple feedback cycles"],"limitations":["Optimization recommendations may homogenize deck design toward algorithmic preferences rather than preserving authentic founder voice","Effectiveness depends on training data recency — successful patterns from 2022 may not reflect current investor preferences in 2024","Cannot assess founder delivery quality, charisma, or live presentation skills that heavily influence investor decisions","May not account for industry-specific norms (e.g., hardware vs SaaS vs biotech have different expected structures)"],"requires":["PDF or image format pitch deck (minimum 5 slides, maximum likely 20-30 slides)","Text-extractable deck (not image-only or heavily design-obfuscated)","Active Dealight account with API access or web interface"],"input_types":["PDF","PowerPoint/PPTX","image files (PNG, JPG)","Google Slides (via export)"],"output_types":["structured JSON with slide-by-slide scores","narrative flow analysis report","comparative metrics against successful decks","prioritized list of recommended changes"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_1","uri":"capability://search.retrieval.investor.preference.matching.and.discovery","name":"investor preference matching and discovery","description":"Matches founder profiles and pitch decks against a curated database of investors using behavioral, portfolio, and investment thesis data. The system likely ingests investor data (portfolio companies, check sizes, stage focus, sector preferences, geographic focus) and applies collaborative filtering, content-based similarity matching, or learned ranking models to surface the most relevant investor targets. Ranks matches by likelihood of fit rather than returning generic lists.","intents":["I need to identify which investors are actually likely to fund my company, not just any VC in my region","I want to understand why a specific investor is a good match so I can personalize my outreach","I need to find investors who have backed similar companies or have relevant sector expertise","I want to prioritize my outreach list by probability of interest rather than spray-and-pray"],"best_for":["Series A founders with clear product-market fit signals ready to target specific investors","Founders in niche sectors (biotech, climate, fintech) where investor specialization matters","Teams with limited network who need systematic investor discovery beyond warm intros"],"limitations":["Matching quality depends entirely on the completeness and recency of the investor database — missing or outdated investor data produces poor recommendations","Cannot capture informal investor preferences or recent strategy shifts not yet reflected in portfolio data","May over-weight recent portfolio companies and miss investors actively seeking new sectors","Behavioral data (response rates, follow-up patterns) may not be available for all investors, reducing ranking precision","Does not account for founder-investor personality fit or communication style compatibility"],"requires":["Founder profile with company details (stage, sector, geography, funding target)","Pitch deck or company description for content-based matching","Access to Dealight's investor database (scope and update frequency unknown)","Active Dealight account"],"input_types":["structured founder/company profile","pitch deck or narrative description","optional: previous investor interactions or warm intro data"],"output_types":["ranked list of investor matches with confidence scores","match rationale (e.g., 'backed 3 similar companies', 'invests in your stage and sector')","investor contact information and portfolio summary","suggested personalization angles for outreach"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_2","uri":"capability://data.processing.analysis.pitch.deck.content.extraction.and.structured.representation","name":"pitch deck content extraction and structured representation","description":"Parses uploaded pitch decks to extract and structure key content (company name, problem statement, solution, market size, financial metrics, team bios, funding ask) into a machine-readable format. Uses OCR, PDF text extraction, and NLP entity recognition to identify and classify content by slide type and semantic meaning. This structured representation enables downstream analysis and matching without requiring manual data entry.","intents":["I want to avoid manually entering company details — extract them from my deck automatically","I need my pitch deck data in a structured format that can feed into investor matching algorithms","I want to ensure all critical information is captured consistently across my deck"],"best_for":["Founders who want to minimize manual data entry during the fundraising process","Teams integrating Dealight with other fundraising tools via API"],"limitations":["Extraction accuracy depends on deck design clarity — heavily stylized or image-heavy decks may have poor text extraction","Cannot reliably extract financial metrics from charts or graphs without explicit text labels","May misclassify slide content if narrative structure deviates from standard pitch deck templates","Requires human review to validate extracted data before using in investor matching"],"requires":["Text-extractable pitch deck (PDF or image format)","Reasonably clear slide structure and labeling"],"input_types":["PDF","PowerPoint/PPTX","image files"],"output_types":["JSON with extracted fields (company name, problem, solution, metrics, team, ask)","slide-by-slide content classification","confidence scores for each extracted field"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_3","uri":"capability://data.processing.analysis.comparative.deck.benchmarking.against.successful.funding.patterns","name":"comparative deck benchmarking against successful funding patterns","description":"Compares a founder's pitch deck against aggregated patterns from successful funding rounds in the same sector, stage, and geography. Analyzes metrics (burn rate, runway, growth rates), narrative structure (problem-solution-market-team sequencing), and slide composition (number of slides, content density) to identify where the deck diverges from successful patterns. Provides percentile rankings (e.g., 'your market size slide is in the 65th percentile of successful Series A decks').","intents":["I want to know how my metrics compare to other companies that successfully raised at my stage","I need to understand if my narrative structure matches what investors expect to see","I want to see concrete examples of how successful decks in my space present similar information"],"best_for":["Founders seeking data-driven validation that their deck is competitive","Teams in competitive sectors (SaaS, fintech) where benchmarking against peers is critical"],"limitations":["Benchmarking data is only as good as the historical dataset — may be biased toward well-known successful companies or specific investor networks","Survivorship bias: only analyzes successful decks, not the many failed decks that had similar structures","Metrics benchmarks may not account for market timing, macro conditions, or founder background differences","Cannot explain WHY certain patterns are successful — only that they correlate with funding"],"requires":["Pitch deck with extractable metrics and structure","Sector and stage classification for the company","Access to Dealight's historical successful deck dataset"],"input_types":["pitch deck","company metadata (sector, stage, geography)"],"output_types":["percentile rankings for key metrics","comparative narrative structure analysis","example decks from successful companies in the same cohort","gap analysis highlighting areas where deck diverges from successful patterns"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_4","uri":"capability://text.generation.language.investor.outreach.personalization.and.messaging.generation","name":"investor outreach personalization and messaging generation","description":"Generates personalized outreach messaging for each matched investor by analyzing the investor's portfolio, investment thesis, and recent activity, then crafting a custom pitch angle that highlights relevant company attributes. Uses NLP and template-based generation to create subject lines, email openings, and talking points that reference specific portfolio companies or investor interests rather than generic cold outreach.","intents":["I want to personalize my investor outreach without spending hours researching each investor","I need to craft a compelling reason why this specific investor should care about my company","I want to reference their portfolio companies or investment thesis in my outreach"],"best_for":["Founders managing large investor lists who need to personalize at scale","Teams with limited fundraising experience who need guidance on outreach messaging"],"limitations":["Generated messaging may feel templated or inauthentic if not heavily customized by the founder","Cannot capture investor personality or communication preferences that affect response rates","Relies on public portfolio data which may not reflect current investor priorities or recent strategy shifts","Risk of over-personalization that comes across as superficial name-dropping rather than genuine fit"],"requires":["Matched investor list from Dealight's matching engine","Investor portfolio and thesis data in Dealight's database","Founder pitch deck or company narrative"],"input_types":["investor profile","company pitch deck","founder background/narrative"],"output_types":["personalized email templates","subject line suggestions","talking points referencing investor portfolio","suggested conversation starters"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_5","uri":"capability://search.retrieval.investor.database.search.and.filtering","name":"investor database search and filtering","description":"Provides structured search and filtering across Dealight's investor database using multiple dimensions: stage focus (seed, Series A/B/C, growth), sector/vertical, geography, check size range, and investment thesis keywords. Enables founders to manually browse and filter investors beyond algorithmic recommendations, supporting exploratory discovery and validation of matched recommendations.","intents":["I want to manually search for investors in my specific sector and stage","I need to filter investors by check size to find those aligned with my funding target","I want to explore investors in a specific geography or with specific thesis focus"],"best_for":["Founders who prefer manual discovery and want to validate algorithmic recommendations","Teams with specific investor targeting criteria (e.g., 'only female-led funds' or 'climate-focused')"],"limitations":["Search results depend on database completeness — missing investors or outdated information produces incomplete results","Filter combinations may return too many results (e.g., 'Series A investors in US') or too few (overly specific filters)","Cannot search by informal criteria like 'founder-friendly' or 'responsive' without explicit data"],"requires":["Access to Dealight's investor database","Active Dealight account"],"input_types":["filter parameters (stage, sector, geography, check size, thesis keywords)"],"output_types":["filtered investor list with contact info","investor profile summaries","portfolio company examples","investment thesis descriptions"],"categories":["search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_6","uri":"capability://planning.reasoning.funding.readiness.assessment.and.milestone.tracking","name":"funding readiness assessment and milestone tracking","description":"Evaluates whether a founder's company and pitch deck meet minimum readiness criteria for fundraising at a specific stage (seed, Series A, Series B). Assesses metrics (runway, burn rate, growth rate), team composition, product maturity, and market validation signals. Provides a readiness score and identifies specific gaps (e.g., 'need 18 months of runway', 'need to demonstrate 10% MoM growth') that must be addressed before approaching investors.","intents":["I want to know if my company is actually ready to fundraise or if I should wait","I need to understand what specific metrics or milestones I'm missing for Series A","I want a realistic assessment of my fundraising timeline based on my current position"],"best_for":["Early-stage founders uncertain about fundraising timing","Teams wanting objective validation before investing time in investor outreach","Founders who want to identify specific gaps to close before fundraising"],"limitations":["Readiness criteria are based on historical patterns and may not apply to all sectors (e.g., biotech has different timelines than SaaS)","Cannot assess qualitative factors like founder credibility, market timing, or macro conditions","May be overly conservative or aggressive depending on the training data and sector assumptions","Founder may disagree with readiness assessment if their company follows non-traditional path"],"requires":["Company metrics (burn rate, runway, growth rate, user/revenue data)","Team composition and background information","Product maturity assessment","Market validation signals (customer count, revenue, partnerships)"],"input_types":["structured company metrics","team information","product/market validation data"],"output_types":["readiness score (0-100 or similar scale)","stage-specific readiness assessment","list of gaps to address","estimated timeline to readiness","recommended milestones to hit"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_7","uri":"capability://automation.workflow.pitch.deck.version.control.and.iteration.tracking","name":"pitch deck version control and iteration tracking","description":"Maintains version history of uploaded pitch decks, tracking changes across iterations and comparing metrics/feedback across versions. Enables founders to see how their deck has evolved, revert to previous versions if needed, and understand which changes had the most impact on investor feedback or matching scores. Provides diff-style comparison showing what changed between versions.","intents":["I want to track how my pitch deck has evolved through multiple iterations","I need to compare my current deck against a previous version to see what changed","I want to understand which changes to my deck improved investor matching scores"],"best_for":["Founders iterating on pitch decks over weeks/months of fundraising","Teams wanting to measure impact of specific deck changes on investor response"],"limitations":["Version history is only useful if founder consistently uploads updated decks to Dealight","Cannot track offline changes or decks edited outside the platform","Diff comparison may be difficult to interpret for heavily redesigned slides"],"requires":["Multiple pitch deck uploads over time","Active Dealight account with version history enabled"],"input_types":["pitch deck uploads (multiple versions)"],"output_types":["version timeline with upload dates","side-by-side deck comparison","change summary (slides added/removed/modified)","metrics comparison across versions (optimization scores, investor match changes)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dealight__cap_8","uri":"capability://automation.workflow.investor.response.tracking.and.outreach.analytics","name":"investor response tracking and outreach analytics","description":"Tracks founder outreach to investors (emails sent, responses received, meeting requests, rejections) and provides analytics on response rates, time-to-response, and engagement patterns. Integrates with email or CRM systems to automatically log outreach activity, or allows manual logging. Provides insights like 'investors in this sector respond 2x faster' or 'personalized outreach has 35% response rate vs 8% generic'.","intents":["I want to track which investors I've contacted and their responses","I need to understand which outreach approaches are most effective","I want to see response rate trends to optimize my outreach strategy"],"best_for":["Founders managing large investor outreach campaigns","Teams wanting to measure and optimize their fundraising efficiency"],"limitations":["Requires manual logging or email integration to track outreach — incomplete data if founder doesn't consistently log activity","Cannot track warm introductions or investor-initiated inbound interest","Response rate analytics may be skewed by small sample sizes early in fundraising","Cannot measure quality of investor interest (e.g., serious vs polite rejection)"],"requires":["Email integration or manual outreach logging","Active Dealight account","Consistent outreach activity over time"],"input_types":["email logs (via integration)","manual outreach entries","response tracking (meetings scheduled, rejections, etc.)"],"output_types":["outreach activity log","response rate analytics by investor segment","time-to-response metrics","engagement trends and patterns","recommendations for outreach optimization"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["PDF or image format pitch deck (minimum 5 slides, maximum likely 20-30 slides)","Text-extractable deck (not image-only or heavily design-obfuscated)","Active Dealight account with API access or web interface","Founder profile with company details (stage, sector, geography, funding target)","Pitch deck or company description for content-based matching","Access to Dealight's investor database (scope and update frequency unknown)","Active Dealight account","Text-extractable pitch deck (PDF or image format)","Reasonably clear slide structure and labeling","Pitch deck with extractable metrics and structure"],"failure_modes":["Optimization recommendations may homogenize deck design toward algorithmic preferences rather than preserving authentic founder voice","Effectiveness depends on training data recency — successful patterns from 2022 may not reflect current investor preferences in 2024","Cannot assess founder delivery quality, charisma, or live presentation skills that heavily influence investor decisions","May not account for industry-specific norms (e.g., hardware vs SaaS vs biotech have different expected structures)","Matching quality depends entirely on the completeness and recency of the investor database — missing or outdated investor data produces poor recommendations","Cannot capture informal investor preferences or recent strategy shifts not yet reflected in portfolio data","May over-weight recent portfolio companies and miss investors actively seeking new sectors","Behavioral data (response rates, follow-up patterns) may not be available for all investors, reducing ranking precision","Does not account for founder-investor personality fit or communication style compatibility","Extraction accuracy depends on deck design clarity — heavily stylized or image-heavy decks may have poor text extraction","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.282Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=dealight","compare_url":"https://unfragile.ai/compare?artifact=dealight"}},"signature":"uKRZBVqsT1iGItr7+RYk766klHn95SNNFfiWMoBmsLvexs+ttqVdxRYuaI+JQflIu4/h337W0m52mDbQXPwFDQ==","signedAt":"2026-06-20T17:38:52.004Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/dealight","artifact":"https://unfragile.ai/dealight","verify":"https://unfragile.ai/api/v1/verify?slug=dealight","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}