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Kindred Ventures, VC Fund

Kindred Ventures

VC Fund

San Francisco, United States

Kindred Ventures is a seed-stage venture capital fund that supports startup companies. The company prefers to invest in the software, healthcare, telecommunications, retail, climate technology, and consumer industries. It is based in San Francisco, California, and was founded in 2014 by Steve Jang and Kanyi Maqubela.

Total investments:
177
Last investment:
Lead investor:
44%
Last fund:

Last updated:

Industries Kindred Ventures invests in

SoftwareBlockchainArtificial IntelligenceCryptocurrencyInternet

Stages Kindred Ventures invests in

SeedSeries APre-SeedFunding RoundSeries B

Countries Kindred Ventures invests in

United StatesBrazilJapanFranceUnited Kingdom

Round sizes

Seed $2M–$9.2MPre-Seed $1M–$3.5MSeries A $10M–$32M

Contacts

NameEmailPhoneSocials

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Round size

Seed
$2M–$9.2M
Pre-Seed
$1M–$3.5M
Series A
$10M–$32M

Investment Focus

Industry

  • Software 30 (17%)
  • Blockchain 17 (10%)
  • Artificial Intelligence 17 (10%)
  • Cryptocurrency 15 (8%)
  • Internet 14 (8%)
See all 142 industries →

Stage

  • Seed 74 (42%)
  • Series A 35 (20%)
  • Pre-Seed 11 (6%)
  • Funding Round 9 (5%)
  • Series B 8 (5%)
See all 8 stages →

Country

  • United States 79 (45%)
  • Brazil 3 (2%)
  • Japan 2 (1%)
  • France 2 (1%)
  • United Kingdom 2 (1%)
See all 12 countries →

Team

NameTitleInvestmentsLinksEmail
Kanyi Maqubela
Kanyi Maqubela Managing Partner
Managing Partner Total investments: 28
Find email
Steve Jang
Steve Jang Founder and Managing Partner
Founder and Managing Partner Total investments: 35
Find email

Investments

CompanyDescriptionRoundLinks
Assured Health Assured Health
Assured Health provides a platform to automate healthcare credentialing, licensing, and payor enrollment for healthcare organizations. $19M / Series A / Jul 22, 2026
Kotoba Technologies Kotoba Technologies
Kotoba Technologies develops and supports technology tailored to business fields and applications. It supports the implementation of language models into corporate applications by communicating closely with companies in Japanese to accurately understand the needs and actual situation of each company, and then provide optimal technical support.++ $10M / Seed / Jun 24, 2026
Architect Architect
Architect provide frontier AI lab for chip design. $24M / Seed / Jun 18, 2026
Hydra Host Hydra Host
Hydra Host is a tool that provides cross-cloud capabilities to deploy and host apps across public cloud and private cloud providers. In addition to cross-cloud capabilities, Hydra offers high-level advisory, as well as expert implementation work with bespoke service engagements catered to client priorities. Whether security, resilience, orscale-focused. $100M / Series A / Jun 15, 2026
Fearn Fearn
Fearn is an AI-native patent drafting platform that lets inventors and companies prepare patent applications in minutes instead of 50+ hours, with flat-rate pricing and no third‑party AI models. $5.5M / Seed / Jun 10, 2026
Mecka AI Mecka AI
Mecka AI is a data infrastructure company that builds large scale human datasets and tools to train and deploy AI and robotics systems. $60M / Series A / Jun 01, 2026
Corgi Insurance Corgi Insurance
Corgi Insurance Services, Inc. ("Corgi") is an American technology company that operates an artificial intelligence (AI)-powered insurance carrier based in San Francisco, California. Corgi Insurance develops and operates a fully integrated insurance stack using AI agents to automate traditional carrier operations, becoming the world’sfirst “AI insurance company.” The company owns multiple subsidiaries operating under a dog-themed naming convention. $106M / Series B / May 28, 2026
District District
District is a commerce platform where anyone can create and grow their own brand. District allows anyone to develop personalized retail experiences, such as live selling and auctions, marketplaces, and paid communities, without the need for coding or engineering. $14.7M / Seed / May 06, 2026
Parasail Parasail
Parasail is an AI deployment networking company that provides AI products to builders and innovators for secure compute. $32M / Series A / Apr 15, 2026
Pomo Pomo
Pomo (pomohq) is a small, AI‑powered marketing‑tech startup that builds a unified platform of AI agents to plan, create, and optimize cross‑channel marketing campaigns for growth‑focused brands. It aims to replace fragmented tools and manual workflows with an integrated system that scales marketing operations and insights in one stack. $4.5M / Seed / Apr 08, 2026
See all 177 investments →

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FAQ

What does Kindred Ventures invest in?

Kindred Ventures invests primarily in Software, Blockchain and Artificial Intelligence startups, most often at Seed and Series A stage. Most of the 177 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.

What is Kindred Ventures's check size?

Kindred Ventures typically joins rounds of $2M–$9.2M at Seed, $1M–$3.5M at Pre-Seed and $10M–$32M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Kindred Ventures participates in.

How do I contact Kindred Ventures?

Public channels for Kindred Ventures include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

Who are the partners at Kindred Ventures?

The team at Kindred Ventures includes Kanyi Maqubela (Managing Partner) and Steve Jang (Founder and Managing Partner). The Team section lists each member with their title, investment count and links.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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