About Parallel Domain
Parallel Domain provides synthetic data solutions aimed at speeding 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 in perception, machine learning, and data operations to develop, train, and test their algorithms in a safe and efficient manner. Unlike competitors, Parallel Domain offers a user-friendly API that allows clients to easily connect and access their synthetic data, reducing the need for extensive real-world testing. The goal of Parallel Domain is to streamline the development process for autonomous technologies, making it faster and more cost-effective.
Palo Alto, CaliforniaHeadquarters
2017Year Founded
$42.7MTotal Funding
SERIES_BCompany Stage
Robotics & Automation, Enterprise Software, AI & Machine LearningIndustries
11-50Employees
Benefits
Health Insurance
Paid Vacation
Paid Parental Leave
Hybrid Work Options
Professional Development Budget
Flexible Work Hours
Risks
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.
Differentiation
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.
Upsides
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.
Funding
Total raised$42.70 M
Latest valuation$150.00 M
StageSERIES_B
$30
$150.00 M$11
$55.00 M$3
$14.50 M