VectoIQ LLC
VC Fund
New York, United States
VectoIQ LLC is a VC fund in New York focused on Software and Automotive. VectoIQ is an advisory firm helping new companies in the smart transportation space. Reverse merger with Nikola Motor in June 2020.
- Total investments:
- 8
- Last investment:
- Lead investor:
- 25%
Last updated:
For AI agents: llms.txt
Industries VectoIQ LLC invests in
Stages VectoIQ LLC invests in
Countries VectoIQ LLC invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
2 more contacts available
Round size
- Series B
- $55M–$55M
Investment Focus
Industry
- Software 4 (50%)
- Automotive 4 (50%)
- Autonomous Vehicles 4 (50%)
- Machine Learning 3 (38%)
- Sensor 2 (25%)
Stage
- Seed 2 (25%)
- Series A 1 (13%)
- Series B 1 (13%)
- Series E 1 (13%)
- Funding Round 1 (13%)
Country
- United States 4 (50%)
- Israel 2 (25%)
- Slovenia 1 (13%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Mary Chan
Managing Partner
|
Managing Partner | Total investments: 1 | Find email | |
|
Mindy Luxenberg- Grant
Founder and CFO
|
Founder and CFO | Total investments: 0 | Find email | |
|
Steve Girsky
CEO and Managing Partner
|
CEO and Managing Partner | Total investments: 3 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
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Azumo front light is here to light the way to the new era of high efficiency, durable displays that don’t fight the environment but work in tandem with it. The time has come for all of us to reflect on what displays can do for devices. | $30M / Venture - Series Unknown / May 10, 2022 | |
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Oculii is creating a next-generation AI software platform for radars that’s exponentially higher resolution, longer range, more accurate, and less expensive than conventional solutions – increasing safety and reliability. The promise of autonomous vehicles depends on high-performance, all-weather, low-cost and scalable perception technology, andOculii is bringing it to the world. Oculii's AI software amplifies the resolution of any radar platform, enabling high performance perception for the next generation of autonomous systems. Traditional phased array radars have been used for decades and follow a strict size for performance tradeoff - the larger the sensor aperture, the higher the angular resolution. Oculii’s Virtual Aperture Imaging radar technology fundamentally breaks this tradeoff - enabling its sensors to trade increased compute/processing for angular resolution enhancement with the same physical aperture. Leveraging this technique enables Oculii sensors to extract unprecedented accuracy, range, and 4D positioning information from commodity off the shelf low-cost radar elements, bringing high resolution radar imaging to the next frontier. Oculii is backed by some of the top investors and corporations from Silicon Valley, and is working with the leaders in Self Driving Vehicles, Robotics, and Drones - helping them deliver on an autonomous future with an advanced, robust, affordable perception platform. | $55M / Series B / May 06, 2021 | |
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Oculii is creating a next-generation AI software platform for radars that’s exponentially higher resolution, longer range, more accurate, and less expensive than conventional solutions – increasing safety and reliability. The promise of autonomous vehicles depends on high-performance, all-weather, low-cost and scalable perception technology, andOculii is bringing it to the world. Oculii's AI software amplifies the resolution of any radar platform, enabling high performance perception for the next generation of autonomous systems. Traditional phased array radars have been used for decades and follow a strict size for performance tradeoff - the larger the sensor aperture, the higher the angular resolution. Oculii’s Virtual Aperture Imaging radar technology fundamentally breaks this tradeoff - enabling its sensors to trade increased compute/processing for angular resolution enhancement with the same physical aperture. Leveraging this technique enables Oculii sensors to extract unprecedented accuracy, range, and 4D positioning information from commodity off the shelf low-cost radar elements, bringing high resolution radar imaging to the next frontier. Oculii is backed by some of the top investors and corporations from Silicon Valley, and is working with the leaders in Self Driving Vehicles, Robotics, and Drones - helping them deliver on an autonomous future with an advanced, robust, affordable perception platform. | $55M / Series B / May 06, 2021 | |
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TuSimple is a self-driving truck company developing a technology that allows driving from depot-to-depot without human intervention.The company's trucks are capable of self-driving from depot-to-depot and do so every day for its customers. It develops a commercial-ready Level 4 (SAE) fully autonomous driving solution for the logisticsindustry. The company is driven by a mission to increase safety, decrease transportation costs, and reduce carbon emissions. In 2015, Jianan Hao, Mo Chen, and Xiaodi Hou headquartered the company in San Diego, California. | $350M / Series E / Nov 30, 2020 | |
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Luminar is an autonomous vehicle sensor and software company with the vision to make autonomy safe and ubiquitous by delivering the only lidar and associated software that meets the industry’s stringent performance, safety, and economic requirements. Luminar has rapidly gained over 50 industry partners, including 8 of the top 10 global automotiveOEMs. In 2020, Luminar signed the industry’s first production deal for autonomous consumer vehicles with Volvo Cars, while also recently striking deals with Daimler Truck AG and Intel’s Mobileye. Luminar has also received minority investments from the world’s largest commercial vehicle manufacturer, Daimler Truck AG, and Volvo Cars, a global leader in automotive safety, to accelerate the introduction of autonomous trucks and cars at highway speed. Founded in 2012, Luminar is a nearly 400-person team with offices in Palo Alto, Orlando, Colorado Springs, Detroit, and Munich. | $170M / Aug 24, 2020 | |
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GuardKnox is a technology and engineering company specializing in E/E products and solutions for the automotive market. GuardKnox is the automotive industry’s first Cybertech Tier supplier empowering OEMs, Tier 1 suppliers, and the aftermarket to deliver the next generation of software-defined and service-oriented vehicles. GuardKnox’sflexible and scalable solutions enable added connectivity, Zonal E/E Architecture, hosted applications, high-speed routing (including network recovery and service discovery functionalities), vehicle personalization, and security.The company’s pioneering approach to automotive innovation is inspired by technology from the aviation industry, providing GuardKnox with the experience needed to develop secure, high-performance computing solutions using a patented Service-Oriented Architecture (SOA).Founded in 2016, GuardKnox is based in Israel, with subsidiary locations in Stuttgart, Germany, and Detroit, Michigan. | $21M / Series A / Jun 04, 2019 | |
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AI-based solutions to plan, manage and optimize fleets of smart mobility services and autonomous vehicles. | $3M / Seed / Sep 05, 2018 | |
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Nervtech is a high-tech R&D company specializing in vehicle simulator technologies in the fields of biometric and cognitive driver evaluation, machine learning and data integration. Nervtech’s patented 4DOF-motion compact driving simulator offers a real-life driving experience for simulator analytics and driver evaluation and training. Thesimulation can run on a configuration with three big external screens or with VR headset (Oculus Rift or HTC Vive). It can be easily transported to any location and set-up in a very short time. The simulation platform includes a variety of driving environments, from country side roads, snowy mountains, different highways and complex city centres. Unusual and dangerous behaviour can also be created providing critical and highly demanding driving situations and events. The platform provides also a set of ADAS elements (lane assist, emergency braking, adaptive cruise control, etc.) or fully autonomous driving.The cockpit of the driven vehicle is displayed on the screens and can be changed/modified freely to add new dashboard or IVIS elements (head-up display, dashboard display, different types of lights and indicators). External HW components can also be integrated into the system providing new types of input modalities. The platform includes also a set of physiological and biometrical medical grade sensors for measuring driver’s signals such as HR, GSR, body temperature, pupil diameter, gaze position, etc. Proprietary algorithms for detection of distraction, stress or cognitive workload are also provided.Nervtech’s main R&D goal is to develop techniques and procedures for the transfer of knowledge from human driver to self-driving machine. Consequentially autonomous vehicles will be able more efficiently handle complex and unpredictable driving situations by taking into account also human cognition and intuition-based decision-making. | Seed / Mar 28, 2018 |
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FAQ
What does VectoIQ LLC invest in?
VectoIQ LLC invests primarily in Software, Automotive and Autonomous Vehicles startups, most often at Seed and Series A stage. Most of the 8 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 VectoIQ LLC's check size?
VectoIQ LLC typically joins rounds of $55M–$55M 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 VectoIQ LLC participates in.
How do I contact VectoIQ LLC?
Public channels for VectoIQ LLC include LinkedIn 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 VectoIQ LLC?
The team at VectoIQ LLC includes Mary Chan (Managing Partner), Mindy Luxenberg- Grant (Founder and CFO) and Steve Girsky (CEO 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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