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Manish Patel, Founder and General Partner at Nava Ventures

Manish Patel

Founder and General Partner @ Nava Ventures

San Francisco, United States

Manish Patel is a Series A investor at Nava Ventures in San Francisco focused on Artificial Intelligence and Mobile. Manish’s passion for building began when he was a kid. Whether it was on his brother’s Commodore 128 or with a bucket of Legos, he loved to create experiences that stretched the imagination. Today, that same excitement drives his involvement in the startup community. Manish helps teams realize their potential as they evolve from an insight, to anexperience, to a business.At Highland, Manish works with students of human behavior. He invests in Consumer Internet, Mobile and Digital Media companies that observe patterns in our everyday lives and use technology to solve problems at a human scale. Manish is responsible for Highland's investment in Aviate, Disconnect, Leap Motion and Syntellia, among others. He is active on the boards of Game Closure, Impermium and Leap Motion.

Total investments:
10
Last investment:
Lead investor:
60%

Last updated:

Industries Manish Patel invests in

Artificial IntelligenceMobileInternetSoftwareMachine Learning

Stages Manish Patel invests in

Series ASeries BSeries C

Countries Manish Patel invests in

United StatesSpain

Round sizes

Series A $7M–$19MSeries B $25M–$40M

Contacts

TypeContactValidation
Work email
Personal email
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Socials

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Round size

Series A
$7M–$19M
Series B
$25M–$40M

Investment Focus

Industry

  • Artificial Intelligence 3 (30%)
  • Mobile 2 (20%)
  • Internet 2 (20%)
  • Software 2 (20%)
  • Machine Learning 2 (20%)
See all 25 industries →

Stage

  • Series A 5 (50%)
  • Series B 2 (20%)
  • Series C 1 (10%)

Country

  • United States 5 (50%)
  • Spain 1 (10%)

Investments

CompanyDescriptionRoundLinks
Union.ai Union.ai
Union.ai is a Kubernetes-native workflow orchestration platform for data and machine learning at scale. Union.ai provides software users with the tools they need to move their ideas from concept to high-quality production. Union's aim is to organize the numerous processes required to train and grow the most sophisticated and dynamic machinelearning and data products. $19M / Series A / Feb 25, 2026
Hydrolix Hydrolix
Hydrolix is an early-stage startup with an ambition to change the economics of high density data. The company develops a query service technology intended to process petabyte-scale time series data.Hydrolix's cloud-based query service utilizes proprietary compression and indexing technology, allowing customers to process sub-secondinteractive queries at a fraction of the cost of other existing services. $80M / Series C / Apr 03, 2025
Legion Intelligence Inc Legion Intelligence Inc
Legion is a Generative AI platform that is enterprise-ready. Its mission is to help individuals connect with their finest work. The company is revolutionizing knowledge management and enterprise processes at scale by combining Large Language Models (LLMs) and the practical power of GenAI applications. $40M / Series B / Dec 03, 2024
Legion Intelligence Inc Legion Intelligence Inc
Legion is a Generative AI platform that is enterprise-ready. Its mission is to help individuals connect with their finest work. The company is revolutionizing knowledge management and enterprise processes at scale by combining Large Language Models (LLMs) and the practical power of GenAI applications. $16M / Series A / Sep 19, 2023
Union.ai Union.ai
Union.ai is a Kubernetes-native workflow orchestration platform for data and machine learning at scale. Union.ai provides software users with the tools they need to move their ideas from concept to high-quality production. Union's aim is to organize the numerous processes required to train and grow the most sophisticated and dynamic machinelearning and data products. $19.1M / Series A / May 17, 2023
Lang.ai Lang.ai
Lang.ai is a language understanding platform that automates tagging and repetitive actions for every support conversation. With the user's own data language, Lang will help users auto-tag and categorize customer interactions to find new patterns in their data. $10.5M / Series A / May 12, 2022
Lang.ai Lang.ai
Lang.ai is a language understanding platform that automates tagging and repetitive actions for every support conversation. With the user's own data language, Lang will help users auto-tag and categorize customer interactions to find new patterns in their data. $10.5M / Series A / May 12, 2022
Omni Omni
Omni provides access to the things you need through its rentals platform. By partnering with local businesses, Omni is bringing rentals to communities so everyone can have access to more items — from bikes and surfboards to camping equipment and air purifiers. Customers can reserve items from local businesses and pick up them instantly, or bookrentals in advance.The company is headquartered in San Francisco, California, United States. $25M / Series B / Jan 16, 2018
Omni Omni
Omni provides access to the things you need through its rentals platform. By partnering with local businesses, Omni is bringing rentals to communities so everyone can have access to more items — from bikes and surfboards to camping equipment and air purifiers. Customers can reserve items from local businesses and pick up them instantly, or bookrentals in advance.The company is headquartered in San Francisco, California, United States. $7M / Series A / May 06, 2016
SmartThings SmartThings
SmartThings provides wireless cloud based software.It offers a smartphone app that allows its users to monitor and control their domestic affairs even when they are out of their home. They do this by creating a variety of easy-to-use sensors to be placed at home, office, and car. SmartThings lets these sensors communicate with each other, andwith the users–unlocking a new world of possibilities and resulting in the world’s most accessible and advanced open platform for the Internet of Things.SmartThings is based in Mountain View, California and operates independently as a wholly owned subsidiary of Samsung Electronics. $12.5M / Series A / Nov 12, 2013

Co-Investors

Nava Ventures

About Nava Ventures

VC Fund · San Francisco, United States

Nava Ventures is a venture capital company that works with companies that endeavor to create new markets and change industries. It was founded in 2021 and is located in San Francisco, California.

Nava Ventures Contacts

NameEmailPhoneSocials
Freddie Martignetti
Freddie Martignetti Founder and General Partner
Chris Cross
Chris Cross CFO and Head of Operations
Manish Patel
Manish Patel Founder and General Partner

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FAQ

What does Manish Patel invest in?

Manish Patel invests primarily in Artificial Intelligence, Mobile and Internet startups, most often at Series A and Series B stage. Most of the 10 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 Manish Patel's check size?

Manish Patel typically joins rounds of $7M–$19M at Series A and $25M–$40M at Series B. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Manish Patel participates in.

How do I contact Manish Patel?

Public channels for Manish Patel include LinkedIn. 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.

When did Manish Patel last invest?

The most recent investment recorded for Manish Patel closed in Feb 2026. Shizune tracks 10 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

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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