B

AI Investment Dealflow Dashboard

3.40

Derivation Chain

Step 1 Surge in AI-dedicated venture funds
→
Step 2 Deal sourcing and pipeline management overload for AI-focused VCs
→
Step 3 Automated AI startup dealflow collection and organization SaaS

Problem

Small VC firms (3-10 people) managing AI-focused funds ($7.5M-$60M) receive 50-100 AI startup pitch decks per month, but manually classifying and prioritizing them takes a single analyst 10-15 hours per week. Generic CRM tools lack the ability to filter by AI tech stack criteria (model type, training data, GPU usage, etc.).

Solution

Automatically parses IR emails and pitch deck PDFs, converting them into structured deal cards with AI tech stack, team composition, and traction metrics. Includes automatic AI domain tagging (NLP, CV, robotics, etc.), auto-scoring based on fund investment criteria, and analyst comments and status management — an AI-specialized dealflow CRM.

Target: Analysts and partners at AI-focused VCs and accelerators with 3-10 team members
Revenue Model: SaaS monthly subscription at $292/team (up to 5 analysts, 100 deals/month included), additional analysts at $37/person/month
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
4.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (67%)

Tech Complexity
24.0/40
Data Availability
23.1/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (56/100)

Competition
8.0/20
Market Demand
3.8/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] AI/ML [medium] Frontend [medium]
Dashboard