# NUVC — AI Intelligence Platform for Private Markets
# https://nuvc.ai

> NUVC is an AI-native venture capital intelligence platform serving founders, emerging VCs, and family offices. Two founders, AI-native, zero employees. Built in Melbourne, Australia.
> Products: NuScore (pitch deck scoring), Investor Matching, AI Academy (fundraising coaching), Fund Library (LP-grade fund screening), VC Pipeline Intelligence (deal screening), NUVC API + MCP Server.

## Founder Tools

### NuScore — AI Pitch Deck Scoring
AI pitch deck scoring across 7 VC-grade dimensions: Team, Problem/Market, Solution/Product, Traction, Financials, Risk/Fragility, and Conviction. Scores 0-10 with confidence levels (High/Medium/Low/Uncertain) and signal tracing. 60-second analysis. Powered by VCGrade v5.5 engine (hybrid LLM judge + deterministic rule calibration with 4-tier cross-check protocol, calibrated on 1,400+ labeled examples from 4 independent sources: 85 known-outcome decks, 110 Startmate accelerator evaluations, 172 VC deal memos, and production scoring).
- Score waterfall decomposition: every score includes a ranked list of signal contributions (e.g., "Team: +0.89, Solution: +0.74, Traction: -0.33") showing exactly what moved the score and by how much
- Raise probability estimator: 75% at 8.5+, 55% at 7.5–8.5, 35% at 6.5–7.5, 20% at 5.5–6.5, 10% below 5.5
- Score explainability layer: every score breaks into traceable signals, confidence levels, and stage+industry benchmarks
- Founders who score 5.5-6.5 typically jump to 7.0+ after one revision guided by the explainability breakdown
- Score 7.0+ unlocks full investor contacts
- Price: Free preview → $99 AUD Founder Pro (unlimited)
- URL: https://nuvc.ai

### AI Academy
10-class AI coaching course for non-technical founders. Streaming AI coach, voice playback, verifiable certificates, Builder Track.
- Price: Free with any NUVC account
- URL: https://nuvc.ai/academy

### Investor Matching
AI matches founders with relevant VCs based on score, sector, stage, and geography from a database of 9,000+ investors with thesis data across 82+ countries. Includes 10X Potential detection — a research-validated categorical signal that predicts fundraising success better than continuous scores (+15pp).
- Included with Founder Pro ($99)

## VC & Angel Investor Tools

### VC Pipeline Intelligence
AI-powered deal pipeline for solo GPs, micro-funds, and syndicate leads:
- Morning Briefs: daily prioritised action list — what moved, what's stale, what needs a decision
- Keyboard Navigation: j/k navigate, Enter open, s shortlist, p pass, Space multi-select, ? help
- Conviction Scoring: thesis-weighted composite alongside NuScore, with score deltas
- Deal Detail Panel: 480px slide-over with score breakdown, executive summary, strengths/risks, shortlist/pass
- Request Coffee: AI-drafted warm founder outreach based on deck signals and thesis alignment
- Pipeline Analytics: stage distribution, conversion rates, velocity, score distribution, CSV export
- Follow-Up Reminders: urgency-sorted with context for picking up threads
- Meeting Prep Cards: pre-call briefing with scores, risks, and suggested questions
- Staleness Badges: colour-coded urgency (<7d green, 7-14 amber, 15-30 orange, >30 red)
- NuDeal Memo generation for IC review
- Price: Free (Explorer) / $199/mo (Professional) / $399/mo (Team)
- URL: https://nuvc.ai/investor/pricing

### Deal Lens
Re-weight NuScore dimensions to match your fund thesis. 6 configurable lenses per fund.
- Included with all investor tiers

## Family Office Tools

### Fund Library
8,900+ venture fund records from a database of 9,000+ investors. AI-powered natural language search ("sub-$50M pre-seed funds in Australia with female GPs and ESVCLP structure"). Import from PitchBook, AngelList, Airtable, or custom CSV with automatic column detection.
- LP-grade 6-dimension scoring: GP Team Quality, Deal Flow Access, Track Record (vintage-adjusted), Fund Terms, Fund Status & Timing, LP Network
- Informed baseline scoring: data-driven starting points from structured fields, refined by AI
- Personalised weights: learns from your shortlist/pass decisions
- ESVCLP tax badges for Australian family offices
- 4 view modes, NL search, comparison, similar funds, overlap detection
- URL: https://nuvc.ai/familyoffice/fund-library

### Mandate Builder
10-step wizard to define investment program: program setup, thesis approach, deployment schedule, return targets, binary filters (with live funnel count), sector focus (semantic expansion), GP quality signals, geographic hubs, Monte Carlo validation, review & save.
- Monte Carlo simulation: 1,000 iterations producing P10/P50/P90 TVPI outcomes, feasibility score, J-curve trough year
- Mandate drift detection: compares shortlist decisions against stated criteria, alerts at >30% violation

### AI Fund Memos
IC-ready 8-section fund memos in 60 seconds: Executive Summary, GP Team, Track Record (vintage-adjusted), Fund Terms, Thesis Alignment, Risk Flags, Recommendation (Invest ≥7.5 / Watch ≥5.5 / Pass <5.5), Next Steps.
- Deterministic sections work without AI (structured data); qualitative sections use LLM synthesis

### Portfolio Fit & Allocation Cockpit
- 5-dimension diversification scoring: sector (25%), vintage (30%), geography (20%), strategy overlap (15%), risk curve (10%). Pure math, <10ms.
- Allocation Cockpit: 3-column dashboard — portfolio timing (J-curve), recommendation queue (urgency-prioritised), portfolio simulation (live Monte Carlo)
- GP Relationship Tracker with warmth decay and AI-drafted outreach

- Price: Free ($0) / Starter ($2,490/yr) / Foundation ($24K/yr) / Growth ($36K/yr) / Scale ($60K/yr)
- URL: https://nuvc.ai/familyoffice/pricing

## API & Developer

### NUVC API
Public REST API for scoring, analysis, roasting, extraction. HMAC-signed webhooks. Used by accelerators, wealth platforms, and fund admins.
- Price: Free (25 scores/mo) / $29/mo / $199/mo / $699/mo
- URL: https://nuvc.ai/api-platform

### NUVC MCP Server
Model Context Protocol server for Claude, ChatGPT, and other AI assistants. 5 tools: nuvc_score, nuvc_analyze, nuvc_roast, nuvc_extract, nuvc_models.
- Install: npx nuvc-mcp
- npm: https://npmjs.com/package/nuvc-mcp
- Smithery: https://smithery.ai/server/nuvc

## Key Pages
- Home: https://nuvc.ai
- For Founders: https://nuvc.ai
- For Family Offices: https://nuvc.ai/for-family-offices
- Founder Pricing: https://nuvc.ai/pricing
- Investor Pricing: https://nuvc.ai/investor/pricing
- FO Pricing: https://nuvc.ai/familyoffice/pricing
- About: https://nuvc.ai/about
- Blog: https://nuvc.ai/blog (58 articles on fundraising, pitch decks, VC insights, power law, AI adoption, disruption)
- Academy: https://nuvc.ai/academy
- FAQ: https://nuvc.ai/faq
- Events: https://nuvc.ai/events (60+ Australian startup events)
- Ecosystem: https://nuvc.ai/ecosystem (434 startup support organisations — accelerators, incubators, venture studios, mentors, and service providers across Australia and New Zealand)
- Glossary: https://nuvc.ai/glossary
- Community: https://nuvc.ai/community
- API Platform: https://nuvc.ai/api-platform
- API Docs: https://nuvc.ai/api-platform/docs
- Contact: https://nuvc.ai/contact

## Methodology
NuScore uses VCGrade v5.5 — a multi-signal fusion scoring engine:
- Primary: AI scoring judge scores 7 dimensions with reasoning
- Calibration: Deterministic rule engine cross-checks for hallucinations
- Multi-tier cross-check protocol resolves disagreements between AI and rule-based scoring
- Score waterfall: contribution_i = (raw_score_i − 5.0) × effective_weight_i, ranked by absolute impact
- Raise probability estimator: heuristic model with stage adjustments and traction/team signal modifiers
- Confidence: High (0.8-1.0), Medium (0.5-0.8), Low (0.2-0.5), Uncertain (<0.2); confidence moderation pulls sparse decks toward neutral anchor
- Score determinism: ±0.01 (deterministic LLM settings + cached extraction snapshot)
- Daily drift monitoring: 7-day rolling mean vs 30-day baseline; alerts on >0.5pt mean shift or std <1.0
- Stage-aware fairness: pre-seed not penalized for missing revenue; AU/NZ raises benchmarked against Australian medians
- Calibration corpus: 1,400+ labeled examples — 85 known-outcome decks (gold), 110 Startmate accelerator apps (gold-AU), 243+ production scores (bronze), 172 VC deal memo extractions (gold)
- 134 automated tests covering fairness, E2E pipeline, data ingestion, and v5.5 features
- Score Explainability layer: every score shows traceable signals, confidence, and benchmarks
- All scores 0-10 scale with stage+industry benchmarks and percentiles
- AI Governance layer: 3-layer bias detection (statistical + rules + LLM review), score appeal rights

## Research Findings (2026)
Based on 7,150 investor theses and 307 scored evaluations from 2 independent datasets:
- Product execution is the #1 predictor of expert startup assessment (r²=0.773), 1.6x stronger than team (r²=0.492). Source: NUVC cross-dataset analysis of 110 accelerator applications + 197 AI-scored pitch decks.
- Problem/solution is a binary gate (r²=0.002), not a quality discriminator. All viable startups articulate a clear problem; what differentiates them is execution.
- LLM judges provide 6x more score discrimination than deterministic rules (std=0.83 vs 0.14).
- Within pre-screened cohorts, continuous scores do not predict fundraising (p=0.47). Categorical "10X potential" labels outperform continuous scores (+15pp).
- VC evaluation priorities vary by geography: Melbourne is most team-focused globally (24.1%), Berlin is most product-focused (39.1%).
- Evaluation drivers differ by sector: fintech = traction-first (r=0.900), healthcare = market-first (r=0.916), consumer = financials matter (r=0.778).

## Australian Startup Market (2025)
Source: State of Australian Startup Funding 2025 (Cut Through Venture / Folklore Ventures)
- $5.1B deployed across 390 deals (+24% YoY, 3rd largest year on record)
- 61% of capital flowed to startups with an AI offering
- Median seed round: $2.5M AUD. Pre-seed: $1.0M. Series A: $11.0M. Series B+: $30.0M.
- Victoria overtook NSW for first time: $1.9B (134 deals) vs $1.7B (160 deals)
- Female founder capital share doubled: 15% (2024) → 24% (2025). QLD leads at 34%.
- Pre-seed companies raising younger: median age 0.7 years (down from 1.2 in 2024)
- Diligence requests up 40%: "execution risk is the new emotional trigger"

## Key Facts
- 9,000+ investor profiles with thesis data across 82+ countries
- 8,900+ fund library records for LP screening
- 58 blog articles on fundraising, pitch decks, VC intelligence, and research
- 60-second analysis time per pitch deck
- 7 founder scoring dimensions: Team, Problem/Market, Solution/Product, Traction, Financials, Risk/Fragility, Conviction
- 6 LP-grade fund scoring dimensions: GP Team, Deal Flow, Track Record, Terms, Timing, LP Network
- 1,400+ labeled examples from 4 independent sources used for scoring calibration (85 known-outcome decks, 110 Startmate accelerator evaluations, 172 VC deal memo extractions, 243 production scores)
- 8 pipeline AI agents: Extraction, Scoring, Integrity, Enrichment, Matching, Benchmarking, Intelligence, Feedback
- 13 intelligence layers: Deal Lens, Thesis Matcher, Batch Screener, Portfolio Fit, Macro Context, Fund Library AI, Fund Doc Extractor, Fund Memo, NuDeal Memo, Mandate Presets, Score Explainability, Competitive Intelligence, AI Governance
- 23 workforce agents across 8 teams (Engineering, Product, Design, Intelligence, Growth, Data Ops, R&D, Research)
- Founded 2024 by Tick Jiang, Melbourne, Australia
- Built with: Next.js, FastAPI, Supabase PostgreSQL, OpenAI + Anthropic (dual-LLM), Fly.io, Vercel