Work Here?
About Parallel Domain
Industries
Robotics & Automation
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series B
Total Funding
$42.7M
Headquarters
Palo Alto, California
Founded
2017
Overview
Parallel Domain provides synthetic data solutions designed to speed up the development of autonomous systems, such as self-driving cars and delivery drones. The company generates synthetic labeled datasets, simulation environments, and controllable sensor feeds, which help teams working on perception, machine learning, and data operations to develop, train, and test their algorithms in a safe and efficient manner. Unlike many competitors, Parallel Domain offers a user-friendly API that allows clients to easily integrate their services, reducing the need for extensive real-world testing. The company's goal is to streamline the development process for autonomous technologies by providing high-quality synthetic data, ultimately making it easier and faster for companies to bring their products to market.
Simplify's Take
What believers are saying
- Increased demand for synthetic data in autonomous vehicle testing.
- Growing interest in generative AI technologies for synthetic datasets.
- Recent $30 million Series B funding boosts financial stability.
What critics are saying
- Increased competition from companies like DataMesh in digital twin offerings.
- Rapid advancement of generative AI could introduce new market entrants.
- Reliance on synthetic data may face scrutiny if real-world testing becomes feasible.
What makes Parallel Domain unique
- Parallel Domain offers a robust API for synthetic data generation.
- PD Replica creates high-fidelity digital twins for autonomous vehicle testing.
- Reactor engine uses generative AI for diverse, high-quality synthetic datasets.
Help us improve and share your feedback! Did you find this helpful?
Funding
Total Funding
$42.7M
Below
Industry Average
Funded Over
3 Rounds
Industry standards
Benefits
Health Insurance
Paid Vacation
Paid Parental Leave
Hybrid Work Options
Professional Development Budget
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↑ 4%2 year growth
↑ 2%As innovative technologies become more commonplace, the opportunity to unlock value becomes more accessible. And with the news Friday (June 14) that industrial metaverse company DataMesh raised a new funding round to develop its enterprise metaverse platform, tapping into the potential that digital ecosystems offer is top of mind for forward-thinking firms, particularly those in manufacturing and industry. That’s because a new wave of innovations that use extended reality (XR) and metaverse-native digital twins are being positioned to help businesses digitize the management of factories, optimize production, improve efficiency, and introduce new workflows
Parallel Domain, a pioneer in synthetic data generation and simulation for autonomous systems, today unveiled PD Replica, a groundbreaking product that generates high-fidelity digital twins from real-world photos, videos, and 3D scans, transforming the way autonomous vehicles are developed and tested.
Parallel Domain, a synthetic data platform that enhances perception performance for autonomy and robotics companies, today announced Data Lab, a new API to generate high-fidelity synthetic data for training and testing of perception systems.
Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. Synthetic data platform Parallel Domain today announced the launch of Reactor, a state-of-the-art synthetic data generation engine that integrates advanced generative AI technologies with proprietary 3D simulation capabilities. The platform aims to provide machine learning (ML) developers with control and scalability, enabling them to generate fully annotated data that enhances AI performance and fosters the creation of safer and more resilient AI systems for real-world applications.According to the company, Reactor enhances AI performance across various industries, such as autonomous vehicles and drones, by generating high-quality images. In addition, the tool harnesses the power of generative AI to produce annotated data, which is a crucial requirement for ML tasks.By generating both bounding boxes (for object detection) and panoptic segmentation annotations (which provide comprehensive/panoramic views), Reactor ensures that AI models can effectively utilize visual data, resulting in more accurate and reliable outcomes.“Our proprietary generative AI technology allows users to create and manipulate synthetic data using intuitive natural language prompts while also generating the corresponding labels required for training and testing ML models,” Kevin McNamara, CEO and founder of Parallel Domain, told VentureBeat. “Reactor’s ability to generate diverse synthetic examples has led to significant performance improvements in tasks like pedestrian segmentation and debris and baby stroller detection
Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now. Artificial intelligence (AI) may be eating the world as we know it, but experts say AI itself is also starving — and needs to change its diet. One company says synthetic data is the answer
Parallel Domain is Hiring for 0 Jobs on Simplify!
Find jobs on Simplify and start your career today
About Parallel Domain
Industries
Robotics & Automation
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series B
Total Funding
$42.7M
Headquarters
Palo Alto, California
Founded
2017
Parallel Domain is Hiring for 0 Jobs on Simplify!
Find jobs on Simplify and start your career today