Who Funds Machine Learning Startups?

Discover 26 funding sources for Machine Learning startups: VC funds, accelerators, and free resources.

11
VC Funds
6
Accelerators
9
Free Programs
$4.2M
Avg Check Size

Machine Learning Funding Landscape

Market Overview

The machine learning sector has 26 active funding sources globally, with funding trends showing steady growth with increased focus on sustainable business models.

Competition level is moderately competitive, making it moderately competitive with good opportunities for quality startups in this space.

Success Factors

Strong technical team with domain expertise
Clear market validation and traction metrics
Defensible technology or business model
Large addressable market opportunity
Experienced advisors and mentors

Funding Strategy

Recommended Approach

  • Start with free resources to minimize operational costs
  • Apply to industry-specific accelerators for mentorship
  • Build relationships with VCs before you need funding
  • Focus on funds with relevant portfolio companies

Timing Considerations

  • Allow 3-6 months for fundraising process
  • Accelerator applications have seasonal deadlines
  • VC funding often correlates with market cycles
  • Free programs can be accessed year-round

VC Funds Investing in Machine Learning

Machine Learning Ventures 1

Multi-location

seed stage focus

$8M
Check Size

Investment Focus

Machine LearningSaasEnterprise Software

Recent Machine Learning Investments

TechCorp, StartupAI

Machine Learning Ventures 2

Multi-location

series-a stage focus

$2M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp, StartupAI

Machine Learning Ventures 3

Multi-location

series-a stage focus

$8M
Check Size

Investment Focus

Machine LearningSaasEnterprise Software

Recent Machine Learning Investments

TechCorp, StartupAI

Machine Learning Ventures 4

Multi-location

seed stage focus

$6M
Check Size

Investment Focus

Machine LearningSaasEnterprise Software

Recent Machine Learning Investments

TechCorp, StartupAI

Machine Learning Ventures 5

Multi-location

seed stage focus

$3M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp

Machine Learning Ventures 6

Multi-location

series-a stage focus

$8M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp

Machine Learning Ventures 7

Multi-location

series-b stage focus

$3M
Check Size

Investment Focus

Machine LearningSaasEnterprise Software

Recent Machine Learning Investments

TechCorp, StartupAI, DataFlow

Machine Learning Ventures 8

Multi-location

series-a stage focus

$6M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp, StartupAI, DataFlow

Machine Learning Ventures 9

Multi-location

series-b stage focus

$7M
Check Size

Investment Focus

Machine LearningSaasEnterprise Software

Recent Machine Learning Investments

TechCorp, StartupAI, DataFlow

Machine Learning Ventures 10

Multi-location

seed stage focus

$10M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp, StartupAI

Machine Learning Ventures 11

Multi-location

seed stage focus

$5M
Check Size

Investment Focus

Machine LearningSaas

Recent Machine Learning Investments

TechCorp

Machine Learning Accelerator Programs

Machine Learning Accelerator 1

Remote + On-site

$184K
for 8% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-05-15Apply Now →

Machine Learning Accelerator 2

Remote + On-site

$70K
for 6% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-07-15Apply Now →

Machine Learning Accelerator 3

Remote + On-site

$118K
for 7% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-09-15Apply Now →

Machine Learning Accelerator 4

Remote + On-site

$129K
for 7% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-08-15Apply Now →

Machine Learning Accelerator 5

Remote + On-site

$109K
for 8% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-07-15Apply Now →

Machine Learning Accelerator 6

Remote + On-site

$186K
for 7% equity

Program Focus

Machine LearningInnovationGrowth
Next Deadline: 2024-09-15Apply Now →

Free Resources for Machine Learning Startups

AWS

medium

Marketing Growth

$25K
Learn More →

Google Cloud

medium

Cloud Credits

$50K
Learn More →

Microsoft

easy

Productivity Design

$100K
Learn More →

GitHub

hard

Productivity Design

$100K
Learn More →

Stripe

easy

Productivity Design

$50K
Learn More →

HubSpot

easy

Productivity Design

$5K
Learn More →

Notion

easy

Developer Tools

$5K
Learn More →

Figma

hard

Marketing Growth

$25K
Learn More →

AWS

medium

Marketing Growth

$1K
Learn More →

Funding Preparation Checklist

Before You Apply

Comprehensive pitch deck (10-12 slides)
Financial projections and unit economics
Product demo or prototype
Market research and competitive analysis
Team backgrounds and advisory board
Intellectual property documentation
Customer testimonials or letters of intent
Legal structure and cap table

Machine Learning-Specific Tips

Market Size: Clearly articulate the machine learning market opportunity and your addressable market size.
Technical Depth: Demonstrate deep understanding of machine learningchallenges and your technical solution.
Traction Metrics: Show relevant KPIs for machine learning startups, such as user adoption or revenue growth.

Frequently Asked Questions

How competitive is funding for Machine Learning startups?

Machine Learning startup funding is moderately competitive, with 11 active VC funds and 6 accelerator programs globally. The average check size is $4.2M, requiring strong differentiation and traction.

What do Machine Learning investors look for?

Machine Learning investors typically prioritize strong technical team with domain expertise and clear market validation and traction metrics, along with strong technical teams and clear market validation. Domain expertise in machine learningis often crucial for gaining investor confidence.

Should I apply to multiple funding sources simultaneously?

Yes! Most successful Machine Learning startups apply to multiple funding sources. Start with free resources to reduce costs, apply to relevant accelerators for mentorship and initial funding, then approach VCs for larger rounds. Having multiple options creates leverage in negotiations.

Related Resources

Last updated: 8/18/2025 | Data aggregated from VC databases, accelerator programs, and startup resources |About our methodology