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Give your platform the scoring engine that VCs use. NuScore™ analyzes pitch decks across 5 investment lenses, generates IC-grade deal memos, and matches against 3,500+ verified investors — in under 60 seconds.
50 free calls/monthNo credit card required
8.2 / 10
NuScore™
47 investors
Matches
< 60 seconds
Analysis
5
Scoring dimensions
< 2s
Per score latency
3,500
Investor profiles
250+
VC memos calibrated
POST a pitch deck PDF. Returns a deck ID in milliseconds.
deck_id = nuvc.upload("deck.pdf")8 AI agents run in parallel — extract, enrich, score, flag, memo, match, benchmark, and advise.
result = nuvc.analyze(deck_id) # < 60sReceive NuScore™, IC deal memo, 5-lens breakdown, red flags, and thesis-matched investors.
investors = result.matches[:47]Every endpoint returns structured, confidence-aware data ready for your UI, pipeline, or AI agent.
Problem & Market, Differentiation & Moat, Execution & Leverage, Proof & Traction, Risk & Fragility. 0–10 scale, confidence-aware. Calibrated against 180+ real VC memos.
Red flags with exact fixes, fatal flaw detection, conviction archetypes, founder psychology, competitive moat, and unicorn probability — everything an IC would flag.
3,500+ verified investors across 35 countries. Thesis-aligned via semantic similarity + 180+ VC memo embeddings. Stage-aware matching based on demonstrated behaviour.
Interactive 5-axis radar chart, industry percentile rankings, cohort comparison across stage and industry, per-metric breakdown with trend indicators.
Plug NuScore™ into any LLM agent, AI workflow, or backend in minutes.
import anthropic, requests
NUVC_KEY = "nuvc_your_api_key"
BASE = "https://api.nuvc.ai"
# Define NuScore™ as a tool for your Claude agent
tools = [{
"name": "nuvc_score_deck",
"description": (
"Score a pitch deck with NuScore™. Returns 5-lens "
"VC-grade analysis, red flags, IC deal memo, "
"and matched investors."
),
"input_schema": {
"type": "object",
"properties": {
"text": {"type": "string", "description": "Pitch deck text content"}
},
"required": ["text"]
}
}]
# Handle the tool call
def handle_nuvc_tool(text: str) -> dict:
h = {
"Authorization": f"Bearer {NUVC_KEY}",
"Content-Type": "application/json",
}
result = requests.post(
f"{BASE}/api/v3/ai/score",
headers=h,
json={"text": text}).json()["data"]
return {
"nuscore": result.get("overall_score"),
"band": result.get("band"),
"red_flags": result.get("red_flags", []),
}Embed VC-grade intelligence into your product without building a scoring engine from scratch.
Score every applicant across 5 lenses, rank by readiness, surface the strongest cohort candidates automatically.
Embed VC-grade scoring into your product. Give founders structured feedback without building an engine from scratch.
Pre-screen inbound deal flow. Every deck gets a NuScore™, risk flags, and conviction archetype before it reaches your IC.
Give any AI agent VC-grade scoring, startup roasts, and market analysis via tool use. Zero dependencies, 50 free calls/month.
All plans include API key management, usage tracking, HMAC-signed webhooks, and full documentation. Prices in AUD.
$0
$29 /mo
$199 /mo
$699 /mo
Enterprise? Custom integrations, volume pricing, and SLA guarantees. Contact sales.
Start with 50 free calls/month. No credit card. Get your API key in 30 seconds.