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Vision AI investors: 30 Computer vision VCs (2025)

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BlogVision AI investors: 30 Computer vision VCs (2025)
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Computer vision funding reached new heights in 2025. Edge AI chips enable real-time processing. Privacy laws create new opportunities.

Netradyne secured the largest computer vision funding round in 2025 with $90 million Series D led by Point72 Private Investments and Qualcomm Ventures. LearnStart VC

Vertical solutions win. Healthcare diagnostics, manufacturing QA, and fleet safety dominate. General-purpose platforms struggle.

This guide maps active computer vision investors. Their portfolios, check sizes, and contact details.


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30 computer vision investors

1. LDV Capital

The only VC fund focused exclusively on visual technologies.

Investment focus: Computer vision, machine learning for visual data, AR/VR
Investment range: Seed to Series A, $500K-$5M
Notable investments: Clarifai, Synthesia, VitVio, CIONIC
Contact: ldv.co

2. Andreessen Horowitz (a16z)

Leading generalist with strong computer vision portfolio.

Investment focus: Applied computer vision, visual AI infrastructure
Investment range: Seed to growth, flexible sizing
Notable investments: Ambient.ai ($50M+), Labelbox, vision startups
Contact: a16z.com

3. Google Ventures (GV)

Alphabet's venture arm backing visual AI.

Investment focus: Computer vision applications, ML for imaging
Investment range: Seed to growth
Notable investments: HOVER, Clarifai, vision AI companies
Contact: gv.com

4. Intel Capital

Strategic investor in vision processing technology.

Investment focus: Edge vision AI, vision chips, automotive vision
Investment range: Series A+, $5M-$50M
Notable investments: Mobileye (pre-acquisition), vision semiconductors
Contact: intelcapital.com

5. Qualcomm Ventures

Mobile and edge vision specialist.

Investment focus: On-device vision AI, mobile computer vision
Investment range: Series A-C, $3M-$20M
Notable investments: Netradyne, Clarifai, mobile vision companies
Contact: qualcommventures.com

6. SoftBank Vision Fund

Mega-fund backing computer vision at scale.

Investment focus: Late-stage vision AI, proven applications
Investment range: $100M+, growth rounds
Notable investments: SenseTime, vision unicorns
Contact: visionfund.com

7. NEA (New Enterprise Associates)

Multi-stage investor with vision AI expertise.

Investment focus: Healthcare imaging, industrial vision
Investment range: Series A+, up to $100M
Notable investments: Synthesia, Clarifai, medical imaging
Contact: nea.com


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8. Menlo Ventures

Growth investor in applied computer vision.

Investment focus: Enterprise vision applications
Investment range: Series B+, $10M-$50M
Notable investments: HOVER, Clarifai, vision platforms
Contact: menlovc.com

9. Union Square Ventures

Early-stage investor in vision innovation.

Investment focus: Consumer vision apps, creative tools
Investment range: Seed to Series A
Notable investments: Clarifai, vision startups
Contact: usv.com

10. Lux Capital

Deep tech investor backing vision breakthroughs.

Investment focus: Scientific imaging, advanced vision systems
Investment range: Seed to Series B
Notable investments: Clarifai, scientific vision companies
Contact: luxcapital.com

11. Y Combinator

Leading accelerator with strong vision portfolio.

Investment focus: Early-stage computer vision across verticals
Investment range: $500K for 7%
Notable investments: Ambient.ai, MarqVision, Caper, Tenyks
Contact: ycombinator.com

12. Gradient Ventures

Google's AI fund focusing on vision.

Investment focus: ML-first vision companies
Investment range: Seed to Series A, $1M-$10M
Notable investments: Labelbox, vision ML startups
Contact: gradient.com

13. B Capital Group

Growth investor in vision infrastructure.

Investment focus: Enterprise vision AI, Asian markets
Investment range: Series A+, $10M-$50M
Notable investments: Labelbox, vision platforms
Contact: bcapgroup.com

14. Accel

Global VC with computer vision practice.

Investment focus: Applied vision AI, European vision startups
Investment range: Seed to growth
Notable investments: Viso.ai, Synthesia, vision companies
Contact: accel.com

15. Kleiner Perkins

Silicon Valley firm investing in vision transformation.

Investment focus: Healthcare vision, autonomous systems
Investment range: Series A to growth
Notable investments: Synthesia, medical imaging companies
Contact: kleinerperkins.com

16. NVIDIA Ventures

GPU giant's strategic vision investments.

Investment focus: Vision AI infrastructure, 3D vision
Investment range: Strategic investments
Notable investments: Synthesia, Clarifai, vision compute
Contact: nvidia.com/ventures

17. Point72 Ventures

Hedge fund's venture arm active in vision.

Investment focus: Applied vision AI with clear ROI
Investment range: Series B+, $10M+
Notable investments: Netradyne lead investor
Contact: point72ventures.com

18. Spark Capital

Early-stage investor in vision applications.

Investment focus: Consumer vision, creative tools
Investment range: Seed to Series B
Notable investments: Vision AI startups
Contact: sparkcapital.com

19. FirstMark Capital

NYC-based investor in vision tech.

Investment focus: Enterprise vision, vertical solutions
Investment range: Seed to Series B
Notable investments: Vision platforms
Contact: firstmarkcap.com

20. True Ventures

Early believer in computer vision.

Investment focus: Applied vision, B2B solutions
Investment range: Seed to Series A
Notable investments: Vision startups
Contact: trueventures.com

21. Eniac Ventures

Seed specialist in technical vision companies.

Investment focus: Vision infrastructure, developer tools
Investment range: Pre-seed to seed, $500K-$2M
Notable investments: Early vision companies
Contact: eniac.vc

22. Costanoa Ventures

Data-driven investor in vision AI.

Investment focus: B2B vision applications
Investment range: Seed to Series A
Notable investments: Computer vision platforms
Contact: costanoavc.com

23. CRV (Charles River Ventures)

40+ year firm investing in vision tech.

Investment focus: Enterprise vision, vertical applications
Investment range: Seed to Series B
Notable investments: Vision AI companies
Contact: crv.com

24. Two Sigma Ventures

Quant fund's venture arm in vision.

Investment focus: Data-heavy vision applications
Investment range: Seed to Series A
Notable investments: Computer vision for analytics
Contact: twosigmaventures.com

25. IVP (Institutional Venture Partners)

Late-stage investor in proven vision companies.

Investment focus: Vision companies with revenue
Investment range: Series C+, $50M+
Notable investments: AnyVision, enterprise vision
Contact: ivp.com

26. Lightspeed Venture Partners

Multi-stage investor across vision verticals.

Investment focus: Global vision companies
Investment range: Seed to growth
Notable investments: AnyVision, People.ai
Contact: lsvp.com

27. Playground Global

Deep tech incubator for vision hardware.

Investment focus: Vision sensors, edge devices
Investment range: Seed, $500K-$5M
Notable investments: Vision hardware startups
Contact: playground.global

28. General Catalyst

Healthcare and enterprise vision investor.

Investment focus: Medical imaging, industrial vision
Investment range: Seed to growth
Notable investments: Healthcare vision companies
Contact: generalcatalyst.com

29. Bessemer Venture Partners

Cloud-first vision investor.

Investment focus: Vision SaaS, cloud processing
Investment range: Series A to growth
Notable investments: Cloud vision platforms
Contact: bvp.com

30. DST Global

International growth investor in vision.

Investment focus: Proven vision companies scaling globally
Investment range: Series C+, $50M+
Notable investments: MarqVision, global vision leaders
Contact: dst-global.com


What computer vision investors actually need

What Matters

Everyone claims 99% accuracy. Nobody cares about lab results.

Real-world performance wins:

  • Production metrics on messy data
  • Edge deployment benchmarks
  • Cost per inference
  • Customer case studies with ROI

The Pitch

Live demo first. Let them break it. Show it recovering from edge cases.

Include:

  • Latency numbers
  • Hardware requirements
  • Data pipeline architecture
  • Privacy compliance strategy

Common Rejections

"Just a wrapper around YOLO" - Show proprietary improvements

"Too much compute cost" - Demonstrate edge optimization

"No moat" - Highlight unique data or domain expertise


Alternative funding for vision startups

Corporate Programs

NVIDIA Inception: Free GPUs + potential investment
Intel Ignite: Accelerator + hardware access
Microsoft for Startups: Azure credits + vision APIs
AWS Activate: Rekognition credits + compute

Government Grants

SBIR/STTR: Up to $3M for vision R&D
NSF: Computer vision research funding
DoD: Defense vision applications
NIH: Medical imaging grants

Industry-Specific

Automotive: OEM venture arms for ADAS
Healthcare: Medical device funds
Retail: Corporate VCs for vision analytics
Manufacturing: Quality control vision funding


Success stories

The Unicorns

Mobileye: $15.3B Intel acquisition. Dominated automotive vision.

SenseTime: Multi-billion valuation. China's vision AI leader.

Megvii: IPO'd successfully. Facial recognition at scale.

The Builders

Scale AI: Vision data labeling empire. $7.3B valuation.

Clarifai: Early mover advantage. Multiple funding rounds.

HOVER: Property measurement via photos. Strong PMF.

Recent Wins

Synthesia: $180M Series D. AI avatars from Nvidia-backed team.

V7: $33M for vision model training. Solving trust issues.

Netradyne: $90M for fleet safety. Clear ROI drives funding.


Track your vision AI pitch deck with Ellty

Ellty analytics

Computer vision investors spend 2x longer on architecture diagrams. They share benchmark slides most frequently.

Ellty shows you:

  • Which technical slides get deep attention
  • When they forward to domain experts
  • Time spent on different sections

Vision AI founders using Ellty see 4x higher response rates.

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FAQs

Q: Edge or cloud processing?
Edge wins for real-time. Cloud for batch processing.

Q: Build on foundation models or from scratch?
Fine-tune first. Custom only if needed.

Q: Patent computer vision algorithms?
Rarely valuable. Trade secrets better.

Q: Minimum accuracy for funding?
Depends on use case. 95%+ for safety critical.

Q: How to price vision AI?
Per image/video processed or monthly SaaS.

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