01 10
Series A · 2026

NovaSpark

The AI-native platform that turns raw enterprise data
into real-time revenue intelligence.

Confidential · Not for Distribution · June 2026
NOVASPARK
01 — Problem

Revenue teams are
flying blind.

Enterprise sales and revenue operations teams spend more time wrestling with fragmented data than acting on it. The result: missed opportunities, slow decisions, and revenue left on the table.

⏱
73% of sales reps spend over 5 hours per week manually compiling reports instead of selling.
🔀
Average enterprise uses 12+ disconnected data tools — CRM, ERP, BI, spreadsheets — none talking to each other.
💸
$1.8T lost annually in global enterprise revenue due to poor data visibility and delayed decision-making.
02 — Solution

One intelligent layer.
Infinite clarity.

NovaSpark connects every data source in your stack and surfaces the exact insights your revenue team needs — in plain language, in real time.

01
⚡

Unified Data Mesh

Connect CRM, ERP, marketing, and finance data in under 30 minutes via 200+ native integrations.

02
🧠

AI Revenue Brain

Proprietary LLM trained on $500B+ in enterprise transaction data surfaces anomalies and opportunities instantly.

03
🎯

Action Intelligence

Not just dashboards — NovaSpark tells your team exactly what to do next and why, with one-click execution.

03 — Market Opportunity

A massive,
underserved
market.

The convergence of AI and revenue operations is creating a new category. We are positioned at the center of it.

0% CAGR through 2030
TAM 0 B
SAM 0 B
SOM 0 B

Revenue Intelligence + AI Analytics + RevOps Automation

04 — Product

Built for the way
revenue teams work.

NovaSpark — Revenue Intelligence
📊 Overview
🎯 Pipeline
⚡ Signals
🤖 AI Advisor
📈 Forecast
$4.2M Pipeline Value ↑ 18%
68% Win Rate ↑ 12%
24d Avg. Cycle ↓ 8d
Jan
Feb
Mar
Apr
May
Jun
🧠 AI Insight Deal #A-2847 at risk — no activity in 12 days. Recommend executive outreach by Friday.
05 — Traction

The numbers
speak clearly.

0
Enterprise Customers
0
ARR
0
YoY Growth
0
Net Revenue Retention
Trusted by teams at
06 — Business Model

Simple pricing.
Compounding value.

Annual SaaS subscriptions with usage-based expansion. Customers grow with us — average contract value increases 2.4× in year two.

Gross Margin 82%
CAC Payback 7 months
LTV : CAC 14 : 1
Avg. Contract Value $38K / yr
Growth
$1,500/mo
Up to 25 seats · 5 integrations · Standard AI
Most Popular
Scale
$4,200/mo
Unlimited seats · 50+ integrations · Full AI Suite
Enterprise
Custom
Dedicated infra · Custom models · SLA guarantee
07 — Team

Built by people who've
done this before.

AK
Alexandra Kim
CEO & Co-Founder
Former VP Revenue at Salesforce. Built $200M ARR business unit. Stanford MBA.
MR
Marcus Reid
CTO & Co-Founder
Ex-Google Brain. Led ML infrastructure for Google Ads ($40B revenue). MIT PhD, CS.
SP
Sofia Patel
Chief Revenue Officer
Scaled Gong from $10M to $100M ARR. 3× enterprise SaaS exits. 15 years RevOps.
JL
James Liu
VP Engineering
Former Staff Engineer at Snowflake. Architected data pipelines processing 10PB/day.
Advisors: Former CRO, HubSpot · Partner, Sequoia Capital · Chief Data Officer, JPMorgan
08 — Financial Projections

A clear path
to $50M ARR.

Conservative projections based on current pipeline, expansion revenue, and new market entry. Profitability targeted by Q3 2027.

Current ARR$4.8M
Projected ARR (2027)$22M
Projected ARR (2028)$51M
Burn Rate$420K/mo
Runway (current)18 months
ARR Growth ($M)
$4.8M
2026
$11M
2026E
$22M
2027E
$51M
2028E
09 — The Ask

We're raising
$12M Series A

40%
Product & Engineering
35%
Sales & Marketing
15%
Customer Success
10%
Operations & G&A
This round gets us to $22M ARR, cash-flow positive, and positioned for a $60M Series B in 18 months.
Alexandra Kim · CEO · alex@novaspark.ai · novaspark.ai