# 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.
> For founders: get instant, honest VC-grade feedback on your pitch deck — the exact signals investors judge you on, made transparent — then meet the investors most likely to fund you and out-research every one before the meeting. See where you stand and take control of your raise, odds up and warm intros intact.
> 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.

## Why NUVC — the judgement layer, validated on real outcomes
NUVC is the AI judgement layer for venture: a verified call on a startup or a fund, grounded in real outcomes, not opinion. Why the judgement holds up:
- **Calibrated on real funding outcomes — founders who raised and founders who didn't.** NuScore is validated at 98% accuracy across 201 real funding outcomes (funded vs. not, at the 6.5 decision threshold) and calibrated on 1,400+ labeled examples from 4 independent sources. Funded-rate rises monotonically with score — 0% at 0–3, 88% at 8.5+ — so the score tracks what actually moves investors, not a rubric.
- **Live sector-momentum signal.** Continuously tracks how theses are shifting across VC media and podcasts — which sectors are heating up, which are cooling — so the judgement reflects the market as it moves today, not a static rubric.
- **The deepest read on Australian, New Zealand & APAC investors.** 9,000+ investor theses across 82+ countries with an AU/NZ/APAC core — 700+ regional startup-support organisations, per-city investor event calendars, and scoring benchmarked against Australian medians (not US ones). Melbourne-built, for the region generalist US tools overlook.
- **Built for family offices, not retrofitted.** LP-grade 6-dimension fund scoring, ESVCLP tax-structure awareness for Australian allocators, Monte Carlo allocation modelling, and IC-ready fund memos — venture-screening depth that generalist wealth tools skip.

## 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. ~2-minute 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
- Explainability shows exactly which dimensions cost you the most points — so you know what to fix before the deck goes out, not after
- Score 7.0+ unlocks full investor contacts
- Price: Free preview → $99 AUD Founder Pro (unlimited)
- Link: [nuvc.ai](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
- Link: [nuvc.ai/academy](https://nuvc.ai/academy)

### Investor Matching — meet the investors most likely to fund you
NUVC matches a founder to the few investors most likely to back them — ranked by thesis, stage, cheque size, sector, geography, and activity — from a database of 9,000+ investors with thesis data across 82+ countries. It is a targeted shortlist, not a list to spray: a well-matched few beats a mass email to hundreds. Every match carries a reason and an investor brief (thesis, recent deals, why you fit, likely questions) so a founder can out-research the room and walk in prepared. Includes 10X Potential detection — a research-validated categorical signal that predicts fundraising success better than continuous scores alone.
- 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) / $499/mo AUD (Professional, 3 seats, 500 screens) / $1,499/mo AUD (Team, 10 seats, 2,000 screens). Annual plans save 17%.
- Link: [nuvc.ai/investor/pricing](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
- Link: [nuvc.ai/familyoffice/fund-library](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 minutes: 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)
- Link: [nuvc.ai/familyoffice/pricing](https://nuvc.ai/familyoffice/pricing)

## API & Developer

### NUVC API — the judgement layer for VC deal flow
A verified VC judgement on every startup opportunity, returned as JSON or via MCP. Buyers set their fund's mandate once (sector focus, stage, check size, thesis, anti-thesis) and every API call returns a stage-aware, mandate-aware ConvictionScore (NuScore × ThesisFit) plus an IC-ready deal memo — red flags, financial sanity, team signal, market read, traction signal, plus matched co-investors. Outcomes-calibrated on 1,400+ labeled examples across 4 independent sources — including real VC deal memos and decks with verified funding outcomes. Used by emerging VCs, accelerators, wealth platforms, and fund admins to evaluate the engine before subscribing to the full VC product.
- Built for emerging VCs who want to test NUVC's judgement on their own deal flow first, without a $499/mo subscription commitment.
- Channels: REST API (one curl), MCP server (one-line install for Claude Desktop, Cursor, Windsurf), and the web app — all share one credit balance.
- Pricing: Free (2 verified judgements on signup, one-time, to evaluate against real inbound). Starter Pack $99 AUD one-time = 50 judgements ($1.98 effective per deal). Credits never expire. Top up another $99 anytime.
- Always free (no credit cost): fund library searches, investor profile lookups, mandate edits.
- Link: [nuvc.ai/api-platform](https://nuvc.ai/api-platform)

### NUVC MCP Server
Model Context Protocol server so Claude Desktop, Cursor, Windsurf, ChatGPT, and any MCP-compatible AI client can call the NUVC judgement layer directly. Ask Claude to score the deck someone just emailed you — it returns the IC-ready memo, mandate fit, and red flags inline. Credit-consuming tools: nuvc_score, nuvc_screen_fund, nuvc_match_investors. Free tools: library reads, fund/investor lookups, mandate edits. Same credit balance as the REST API.
- Install: npx nuvc-mcp
- Pricing: same PAYG credits as the REST API (2 free on signup, then $99 AUD = 50 credits, one-time)
- npm: [nuvc-mcp](https://npmjs.com/package/nuvc-mcp)
- Smithery: [smithery.ai/server/nuvc](https://smithery.ai/server/nuvc)

## Key Pages
- [Home / 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)
- [Family Office Pricing](https://nuvc.ai/familyoffice/pricing)
- [About](https://nuvc.ai/about)
- [How It Works](https://nuvc.ai/how-it-works) — how a NuScore is built and why to trust it: multi-signal fusion, claim verification, outcome calibration
- [Blog](https://nuvc.ai/blog) — 60 articles on fundraising, pitch decks, VC insights, power law, AI adoption, disruption
- [How Much to Raise at Pre-Seed / Seed / Series A (2026)](https://nuvc.ai/blog/how-much-to-raise-pre-seed-seed-series-a-2026)
- [What Traction Do You Need to Raise Seed / Series A (2026)](https://nuvc.ai/blog/traction-needed-seed-round-series-a-2026)
- [AI Academy](https://nuvc.ai/academy)
- [FAQ](https://nuvc.ai/faq)
- [Events](https://nuvc.ai/events) — 60+ upcoming Australian, NZ & APAC startup and VC events: pitch nights, accelerator demo days, investor networking, workshops
- Events by city: [Melbourne](https://nuvc.ai/events/melbourne) · [Sydney](https://nuvc.ai/events/sydney) · [Brisbane](https://nuvc.ai/events/brisbane) · [Perth](https://nuvc.ai/events/perth) · [Adelaide](https://nuvc.ai/events/adelaide) · [Online](https://nuvc.ai/events/online) — per-city calendars with free [.ics calendar sync](https://nuvc.ai/api/events/calendar.ics?city=melbourne)
- [Ecosystem](https://nuvc.ai/ecosystem) — 700+ startup support organisations: accelerators, incubators, venture studios, mentors, and service providers across Australia, New Zealand, and APAC
- [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
- 60 blog articles on fundraising, pitch decks, VC intelligence, and research
- Last updated: 2026-07-22
- ~2-minute 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)
- AI pipeline with specialised agents for extraction, scoring, integrity, enrichment, matching, benchmarking, intelligence, and feedback
- Investor intelligence system with layers for thesis matching, portfolio fit, macro context, fund screening, document extraction, deal memos, score explainability, and AI governance
- Founded 2024 by Tick Jiang, Melbourne, Australia
- Built with: Next.js, FastAPI, Supabase PostgreSQL, OpenAI + Anthropic (dual-LLM), Fly.io, Vercel