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AI fund intelligence for family offices managing $50M–$2B. Screen 5,800+ funds against your mandate. Track GP relationships across vintages. Know when to commit — and when to wait.
Private pilot program for APAC family offices — limited to 5 partners per quarter
5,800+
Funds in library
6
LP-grade score dimensions
3-tier
Mandate filtering (binary + fuzzy + AI)
13
Intelligence layers
You manage GP relationships across decades. Most tools are built for daily deal flow, not quarterly deployment cycles.
Your fund research lives in 12 different exports, a shared drive, and someone's inbox. There is no single view of your vintage coverage — and no consistent way to compare GPs across fund cycles.
Family offices follow fund managers for 2-3 years before committing. But there is no systematic way to track last contact, warmth decay, or when a GP is likely to raise their next vehicle.
PitchBook, Preqin, and institutional research platforms charge enterprise rates. LP-grade fund analysis with vintage-adjusted benchmarks and AI narrative was out of reach — until now.
From raw fund list to IC-ready allocation plan in three steps.
Drop an unfiltered PitchBook CSV — 2,200+ funds, any columns. AI auto-maps columns, normalises GP names, and infers fund numbers. No pre-filtering needed.
Your saved mandate runs automatically. Binary gates eliminate non-matches. Fuzzy fit scores edge cases. AI generates one-line reasoning for the 40-70% zone. See the full funnel: 2,200 → 400 → Top 50.
LP-grade AI scores every surviving fund across 6 dimensions with spider chart, strengths, red flags, and confidence level. Ask the Intelligence Panel to compare, explain, or draft an IC memo.
GP Tracker monitors fund managers across vintages with automatic warmth decay. AI drafts contextual outreach. Morning Brief surfaces what changed. Export results to your own tools.
Not a CRM. Not a deal flow tool. The AI scoring layer that evaluates GPs the way a sophisticated LP actually does.
Drop an unfiltered PitchBook CSV — 2,200 funds, any columns, no pre-filtering. AI auto-maps columns, normalises GP names, infers fund numbers from Roman numerals. Your data pipe in, our intelligence out.
Save multiple named mandates (Climate, Health, Frontier Tech) and switch between them. Each import runs through three AI tiers — not just pass/fail.
Every fund gets a spider chart showing exactly which LP dimension drove the score. GP Team Quality, Deal Flow Access, Track Record, Fund Terms, Timing, LP Network — each scored 0-10 with confidence level, strengths, and red flags.
Ask questions about your portfolio in natural language. Not a generic chatbot — it reads your entire fund library, knows every score dimension, and routes to real AI services.
Side-by-side analysis across all 6 LP dimensions with markdown tables, narrative summary, per-fund verdict, and a clear recommendation. Powered by a dedicated comparison engine, not freeform prompting.
Every fund scored against YOUR mandate — hard gates + semantic similarity + portfolio fit overlay. Tolerance bands catch the $52M fund when your cap is $50M. Prior fund experience counts when evaluating Fund I GPs.
Not retrofitted from a VC deal-flow tool. Designed from the ground up for how family offices track GPs, analyse vintages, and deploy capital.
Portfolio timing, vintage coverage map, recommendation queue, deployment pulse — one view. See gaps before you have them.
Rolling 7-year vintage coverage chart with deployment bracket overlay. Vintage-adjusted benchmarks: a 2024 fund with 1.2x TVPI reads very differently from a 2018 fund.
8-section IC-ready memo in seconds. Rule-based structure, no hallucinated numbers.
Save named mandates — Climate $20-50M, Health Seed-A, Frontier ANZ. Switch per screening run. Three-tier funnel preview before you spend a single LLM call.
Track fund managers 2-3 years ahead of commitment. Auto-computed warmth decay — know when relationships are going cold. AI-drafted outreach emails.
Daily AI briefing — new funds imported, GPs going cold, top unreviewed fund by score, active pipeline count. Opens your Monday morning for you.
One-click contextual email drafts for GP outreach. Differentiates initial contact from re-engagement. References your fund library scores and thesis alignment.
Conversational AI sidebar on every page. Ask about any fund, compare GPs, check pipeline health. Remembers your conversation across sessions.
Auto-detected tax structure on every fund. Filter for ESVCLP/VCLP eligibility. Know the CGT impact before you commit.
NL search, 4 view modes (cards, pipeline, table, GPs), smart sorting, PitchBook + CSV import. 96% AI-scored, 99.9% thesis-aligned.
Stop screening funds in spreadsheets. Start screening with AI.
Three panels. One decision. See what to commit, what to watch, and what to pass.
Import your PitchBook export. AI scores every fund against your mandate. Shortlist the best GPs — before your next IC.
| Fund | Score | Decision | |
|---|---|---|---|
Blackbird Ventures Fund IVBlackbird | 8.2 | Shortlist | |
AirTree Partners Fund IIIAirTree | 7.6 | Shortlist | |
Square Peg Fund VSquare Peg | 7.1 | Review | |
Airtree Explorer IIAirTree | 6.8 | Review | |
Climate Capital Fund IIClimate Capital | 6.3 | Pass |
Prove the value with your actual data before committing annually.
Accepting pilot partners
$3,000/mo for 3 months
Full Allocator-tier AI — fund screening, GP views, thesis matching, custom setup. Converts to Allocator annual ($32,400/yr).
Pilot investment credited toward your annual plan
Apply for Allocator Pilot$3,500/mo for 3 months
Full Intelligence-tier AI — custom benchmarks, API access, dedicated CSM. Converts to Intelligence annual (pricing TBA).
Pilot investment credited toward your annual plan
Apply for Intelligence PilotNot a database — an AI intelligence layer built for allocation teams.
| Tool | Cost | AI Scoring | Fund Library | IC Memos | Multi-Asset |
|---|---|---|---|---|---|
| NUVC AllocatorUs | From $3,000/mo | ||||
| PitchBook | $20,000+/yr | ||||
| Zapflow | $24,000/yr | ||||
| Spreadsheets | Free (+ your time) |
3-month private pilot with your actual fund data. Dedicated onboarding. Weekly strategy calls. Your identity and data stay confidential — we never disclose FO clients.
Accepting pilot partners
No new data subscriptions. NUVC layers AI intelligence on top of data you already have.
Export your fund search results and upload directly. Fund numbers, GP names, and tax structures auto-detected.
Any spreadsheet format works. AI maps your custom columns to our data model automatically.
Upload fund decks, DDQs, and track records. AI extracts structured data and populates your fund library.
ESVCLP tax intelligence for Australian funds. Multi-currency display. Geographic hub awareness.
Your fund research is private. End-to-end encryption at rest and in transit. We never share your data.
No implementation project. No IT team required. Upload your first fund list and start screening the same day.
We never disclose our family office clients. Your participation stays completely private.
Export everything, anytime. Fund scores, GP notes, IC memos — all yours if you leave.
Get Started
Join family offices who are replacing the analyst bottleneck with institutional-grade AI. Your first fund list, screened in minutes.
Insights
Not all VCs evaluate startups the same way. We mapped 4,988 investors with detailed thesis statements (of 7,800+ total active) to 9 distinct archetypes — each linked to a philosophical tradition — based on how they weight team, product, traction, and financials. The Oracle bets on people. The Empiricist demands data. The Stoic guards against risk. Find out which archetype your target investor is.
We mapped 4,988 investor thesis statements (from 7,800+ total active investors) by sector and stage to reveal where VC capital concentrates — and where the white space is. SaaS and fintech are the most crowded. Climate and deep tech have the highest capital-per-investor ratio. Interactive heatmap inside.
Every VC has a thesis. Most also have an anti-thesis — sectors, stages, and business models they will not touch. We analyzed 7,800+ investor thesis statements to map the explicit rejection patterns that founders rarely see.
AI-powered insights on deal screening, portfolio construction, and what separates fundable startups from the rest. No spam, unsubscribe anytime.