NeuralFlow AI

Intelligent Workflow Automation for the Enterprise

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1

The Problem

Why enterprises struggle

2

Our Solution

3

Market Opportunity

4

Traction

5

Business Model

6

Team

7

The Ask

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Enterprise Workflows Are Broken

Manual Processes

80% of enterprise workflows still require manual intervention

Data Silos

Average enterprise uses 187 SaaS apps with no integration

Cost Inefficiency

$4.3T lost annually to workflow inefficiencies globally
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02

Our Solution

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1

Connect

Plug into your existing tools via API

2

Learn

AI observes and maps your workflows

3

Automate

Intelligent automation with human-in-the-loop

4

Optimize

Continuous improvement through feedback

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$2.4M
ARR+340%
47
Enterprise Clients+12
99.9%
Uptime SLA
4.8/5
NPS Score+0.3
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Market Opportunity ($B)

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Competitive Landscape

FeatureNeuralFlowZapierUIPathCustom Dev
AI-Native
No-Code Setup
Enterprise SSO
Self-Learning
On-Premise Option
Avg. Setup Time2 days1 week3 months6 months
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TEAM

Leadership Team

S

Sarah Chen

CEO & Co-founder

  • Ex-Google AI
  • Stanford CS PhD
M

Marcus Johnson

CTO & Co-founder

  • Ex-Stripe
  • 15yr distributed systems
A

Aisha Patel

VP Engineering

  • Ex-Meta
  • built Instagram's ML pipeline
D

David Kim

VP Sales

  • Ex-Salesforce
  • $50M+ enterprise deals
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NeuralFlow reduced our invoice processing time by 87% and eliminated data entry errors completely.
James MorrisonCFO, Fortune 500 Retailer
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Q1 2025

Seed Round

$3M raised

Q3 2025

Product Launch

GA release

Q1 2026

Series A

$15M target

Q3 2026

Platform V2

AI agents marketplace

Q1 2027

International

EU & APAC expansion

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Join Us in Automating the Future

Series A: $15M at $75M pre-money valuation

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