Marcus Eagan
CEO / Co-Founder
Trace Machina
NativeLink is an open-source simulation infrastructure platform designed to manage large objects and complex systems across various programming languages. It utilizes remote build execution, efficient caching, and native cloud support to enhance engineering productivity. This infrastructure delivers significant cost reductions for compute resources used in simulation workflows.
- Autonomous Vehicles
- Developer Tools
- Robotics
- Software Only
Updated 21 months ago
Funding
Raised to date
$4.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Developing and testing safety-critical systems, such as those used in robotics and autonomous vehicles, requires extensive and costly simulations. Existing simulation infrastructure often struggles to handle the complexity and scale of these systems, leading to bottlenecks in development and increased computational expenses.
Solution
Trace Machina's NativeLink is an open-source simulation infrastructure platform designed to optimize the simulation of large objects and intricate systems. NativeLink leverages remote build execution, efficient caching mechanisms, and native cloud support to enhance engineering productivity and significantly reduce compute resource costs. The platform is designed to work across both native and interpreted programming languages, providing flexibility for diverse development environments. By streamlining the simulation process, NativeLink enables developers to iterate more quickly and efficiently on safety-critical system designs.
Target Audience
The primary target audience includes engineers and developers working on robotics, autonomous mobility, and other safety-critical systems that rely on extensive simulation for design and validation.
Features
- Open-source platform under the MIT license, promoting community-driven development and customization
- Remote build execution to distribute simulation workloads across available resources
- Efficient caching strategies to minimize redundant computations and accelerate simulation cycles
- Native cloud support for scalable and cost-effective simulation deployments
- Support for both native and interpreted programming languages, enabling integration with existing toolchains