# Pull Systems

- **Website:** <https://pull.systems>
- **Primary alias:** `pull.systems`
- **Founded:** 2023
- **Employees:** 11+
- **Location:** Palo Alto, California, United States
- **Company kind:** PRIVATELY HELD

## Description

Pull Systems is a brand that aims to lead the charge towards a zero-carbon future by empowering electric vehicles to manage themselves. They achieve this through their powerful machine learning library, which enables manufacturers and suppliers to create electric propulsion systems that have the capability to go the distance. By harmonizing data science with top-notch hardware engineering, Pull Systems accelerates the development of zero-carbon confidence and transforms possibilities into realities. Their software is built on a vast and diverse dataset, comprising millions of vehicle scenarios. This allows their machine learning library to generate microservices and automation workflows that are tailored to each specific vehicle. Over time, the car itself will start to define its own requirements as it gains a deeper understanding of how, when, and where it is driven. Pull Systems offers a range of software-enabled services, including the Data Studio, which provides high-priority insights with just a few clicks. They also offer vehicle-specific products like battery certificates and extended warranties through their microservices. Additionally, they allow the creation of automation workflows that can charge, discharge, and maintain electric vehicles based on their unique mechanical, geographical, and driver characteristics. Highlighted as one of the most innovative companies in 2023, Pull Systems is the first mobility startup born from a partnership between Porsche and UP.Labs. This startup leverages machine learning to manage and automate electrification, helping companies transition to a sustainable electric fleet. With Pull Systems, vehicle manufacturers, suppliers, and third-party providers can benefit from improved data quality, ultimately shaping a cleaner and more efficient future.

## Industries

- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- 🖥 Computers Electronics and Technology

## Links

- [twitter](https://twitter.com/pull_systems)
- [linkedin](https://linkedin.com/company/pull-systems)

## Logos & icons

- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idWUORc_i_/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1772324001337)
- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idWUORc_i_/w/600/h/600/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1772324001256)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Black | #000000 | dark |
| Honeysuckle | #f4fc7b | accent |
| White | #ffffff | light |

## Fonts

- Arial — asset _(custom)_
- Helvetica Neue — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idWUORc_i_/w/1500/h/499/idHCMSuKk1.jpeg?c=1bxid64Mup7aczewSAYMX&t=1772324001494)

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_Source: <https://brandfetch.com/pull.systems>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._