Viam Launchpad Accelerates Robotics Commercial Deployment
Viam's six-month Launchpad program accelerates robotics startups by prioritizing physical deployment in real environments, supported by a hardware-agnostic software layer and a dedicated robotics lab.

Viam Launchpad is accelerating robotics commercialization through a six-month program that provides startups with a hardware-agnostic software abstraction layer, engineering support, and office space in New York City. The initiative culminates in an installation day where teams deploy physical robots after immersive training, moving beyond traditional demo days. Viam operates a dedicated Northeast robotics lab featuring robot arm farms, giving founders critical hardware access to test and refine their systems.
This hardware-first approach allows participants to change robot arms or sensors without rewriting their core architecture. Teams can test real work cycles, measure operational times, and detect failures before committing to production investments. The program also provides usage credits to avoid awkward conversations about lab bills, though the exact scope of engineering support for resolving specific technical issues remains undefined.
Real-world validation through partner deployments
Startups are proving the program's viability by deploying hardware in actual commercial settings. Gambit, a computer vision-based cooking guidance platform, developed a fully automated kitchen with two robot arms as a case study to validate its hardware and business model rapidly. Another graduate, indoor construction robotics firm RoboBuilt, is now preparing for its commercial deployment using seed funding. These deployments demonstrate the program's core goal of transitioning startups from prototypes to revenue-generating operations.
Industry context and software gaps
The push for faster commercialization comes amid significant investment in automation but a relative shortage of enabling software. Recent analysis noted that automation investments exceeded $60 billion in a nine-month period, with only $1.3 billion invested in software to speed up robotics deployment. The enabling systems market is projected to grow to over $23 billion by 2031, forming part of a larger $78 billion robotics software sector.
This gap highlights the industry's need for abstraction layers to bridge widespread software fragmentation. The open-source framework ROS, with an estimated 1.3 million monthly users, remains the most widely adopted platform and will celebrate its 20th anniversary next year. Viam aims to provide an alternative layer that lets founders focus on customer-facing problems rather than underlying drivers and integrations. The company has demonstrated connectivity with NVIDIA's Isaac Sim robotics simulation platform, which has seen over 1 million cumulative downloads, to link synthetic data generation with real-world applications. This contrasts with the limited traction seen by other platforms, such as AWS RoboMaker, which was shuttered last year after seven years.
Founded in 2020 by former MongoDB CTO Eliot Horowitz, Viam was created to build a universal software abstraction layer for hardware systems. The imminent commercial deployment by RoboBuilt, backed by seed funding, demonstrates the program's concrete path to market validation.





