N

Nexus AI

Enterprise AI infrastructure for the next generation

AI/MLSeries B$100M - $500M
Final Score
86
Tier 1: High Conviction

Immediate due diligence

Investment Decision

Tier 1: High Conviction

Efficient growth and deep moats

Recommended Action

Immediate due diligence

Headquarters

San Francisco, CA

Founded

2021

Employees

150-200

About

Nexus AI provides cutting-edge machine learning infrastructure that enables enterprises to deploy, scale, and manage AI models with unprecedented efficiency. Our platform reduces deployment time by 90% and operational costs by 60%.

Weighted Scoring Breakdown
Execution Power

Weight: 30%

90.0

Founder-Market Fit + Revenue Velocity

Capital Efficiency

Weight: 30%

85.0

Burn Multiple + LTV/CAC

Durable Moat

Weight: 25%

85.0

Proprietary Data + Integration Depth

Growth Potential

Weight: 15%

80.0

NRR + K-Factor

Evaluation Metrics (1-100 Scale)
Founder-Market FitTarget: 10+ yrs domain + serial exit

12 yrs domain exp + serial exit

Revenue VelocityTarget: >200% YoY Growth

185% YoY ARR Growth

Burn MultipleTarget: <1.0x

1.20x (Net Burn / Net New ARR)

LTV/CAC RatioTarget: >5x

11.6x ($145K / $12.5K)

Proprietary DataTarget: >80%

85% private data

Integration DepthTarget: >5 active hooks

6.2 avg APIs per user

Net Revenue RetentionTarget: >120%

135% NRR

K-FactorTarget: >1.0

0.88 (2.1 invites x 42% conv)

Key Employees
SC

Sarah Chen

CEO & Co-Founder

Former Google Brain, Stanford PhD

MW

Marcus Williams

CTO & Co-Founder

Former DeepMind, 15 patents

ER

Emily Rodriguez

VP Engineering

Former OpenAI, MIT

Financial Metrics

Revenue (ARR)

$18.5M ARR

+185% YoY

Gross Margin

78%

Burn Rate

$1.2M/month

Runway

24 months

LTV

$145,000

CAC

$12,500

Investment Details
Total Raised$65M
Last Round$45M Series B
Last Round DateMarch 2025
Target Raise$100M Series C
Minimum Investment$250,000

Lead Investors

Sequoia Capitala16z
Key Highlights
  • 3x revenue growth in last 12 months
  • Fortune 500 client base including Microsoft, Google, Meta
  • Patent-pending proprietary optimization algorithms
  • Team from Google Brain, DeepMind, OpenAI
Risk Factors
  • Highly competitive market with well-funded players
  • Dependent on GPU availability and pricing
  • Regulatory uncertainty around AI deployment