Insider Brief:
- Sift has secured $17.5 million in a Series A funding round led by GV, raising the company’s total capital to $25 million.
- Companies like K2 Space, Astranis, True Anomaly, Astrolab, Mach Industries, and Parallel Systems already use Sift’s unified observability platform to support their mission-critical projects.
- With the new funding, Sift plans to scale infrastructure, develop a manufacturing automation suite, and integrate AI/ML capabilities for improved data management.
Sift has secured $17.5 million in a Series A funding round led by GV, previously known as Google Ventures. This investment raises Sift’s total capital to $25 million. GV’s backing will support Sift’s mission to empower teams developing advanced machines.
GV General Partner, Crystal Huang, noted Sift’s crucial role in the hardware innovation sector. She discussed Sift’s unified observability platform and how it provides essential tools for engineers, helping them transform large amounts of sensor data into actionable insights. This capability is vital for accelerating the development of innovative hardware such as spacecraft, autonomous vehicles, and advanced robotics.
Sift offers the first unified observability platform designed specifically for hardware sensor data. This platform provides real-time insights, streamlining the development process and enhancing the reliability of complex machines. Companies like K2 Space, Astranis, True Anomaly, Astrolab, Mach Industries, and Parallel Systems already use Sift to support their mission-critical projects.
Jeff Dexter, Senior Director of Software at Astranis Space, highlighted the impact of Sift’s platform on their data review process. Kevin Limburg from Parallel Systems also noted how Sift’s modern solution helped them move forward by eliminating the need for outdated telemetry systems.
With the new funding, Sift plans to enhance its product offerings and expand its customer base. The roadmap includes scaling infrastructure, developing a manufacturing automation suite, and integrating AI/ML capabilities for improved data management. Sift also aims to grow its team across various departments to better support customers and advance its mission.
Sift’s goal is to reduce the barriers to hardware innovation by simplifying data management, allowing engineers to focus on groundbreaking developments. This funding round is a step towards that vision, reinforcing Sift’s commitment to building robust software for hardware companies and enabling advancements in machine technology.
Image credit: Sift
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