Parallel Domain | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Email & Communication
Keywords & Focus Areas
Parallel Domain
Overview
Founded in 2017, this synthetic data generation platform is headquartered in San Francisco, California, with roots in Palo Alto and an additional office in Vancouver, British Columbia. The organization specializes in autonomous systems, graphics, simulation, and software development, serving a global client base focused on advanced perception technologies.
The platform equips machine learning, computer vision, and perception teams with tools such as APIs and SDKs for testing perception systems. It offers user-friendly web tools for managing virtual environments and a generative AI-powered Data Lab API for simulating diverse scenarios. High-quality labeled sensor data generation and high-fidelity simulation capabilities make it ideal for sectors including autonomous vehicles and delivery drones.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2017 |
| Revenue | $5M |
| Headquarters | 44 Montgomery Street, San Francisco, California 94104, United States |
Contact Details
- Phone: +1 585-943-8571
- Website: paralleldomain.com
- LinkedIn: linkedin.com/company/parallel-domain
Key Focus Areas & Initiatives
- Machine learning
- AI
- Artificial intelligence
- Autonomous systems
- Autonomous vehicles
- Self-driving cars
- Delivery drones
- Computer vision
- Simulation
- API
- Testing AI
- Validating AI
- Testing & validation
- Regression testing
- Sensor simulation
- Software-in-the-loop simulation
- Digital twins
- eVTOL
- Machine perception
- SIL
- Pattern recognition
- Software development
- Perception safety
- Multi-sensor fusion testing
- Environment variability
- Sensor data generation
- Synthetic data generation
- Model robustness
- Automotive perception testing
- Simulation for autonomous vehicles
- Services
- Sim-to-real gap
- Drone perception testing
- Perception model generalization
- Digital twin for safety
- Open-loop simulation
- Sensor data annotation
- Real-world scan integration
- AI testing
- Sensor configuration testing
- Regulatory testing simulation
- Perception model validation
- Drone
- Perception system testing
- Simulation API
- Computer systems design and related services
- Automotive
- Perception system performance
- Edge case testing
- Sensor noise modeling
- Simulation for drone perception
- B2B
- Simulation environment
- Regulatory compliance testing
- Perception model benchmarking
- Simulation scalability
- Digital twin environments
- Closed-loop simulation
- Perception edge cases
- Perception validation
- Aerial robotics
- High-fidelity sensor simulation
- High-fidelity simulation
- Transportation & logistics
- Information technology & services
Technologies Used
- AI
- Amazon AWS
- Construct
- Gmail
- Google Apps
- Mode
- Netlify
- Python
- Remote
- Slack