Sync Computing, a Boston, MA-based deep tech, cloud infrastructure optimization company, announced that it raised $15.5 million in Series A funding, bringing the company’s total raised to $21.6 million.
The round was led by Costanoa Ventures, with participation from existing investors The Engine, Moore Strategic Ventures, and National Grid Partners, as well as Satyen Sangani, Ron Avnur, and Rebecca Li.
The funds will be used for customer acquisition, marketing and sales, product development, and R&D, including integrations with existing engineering procedures.
Alongside its Series A, Sync also announced today the public API launch for its Apache Spark Autotuner.
Company: Sync Computing Corp.
Raised: $15.5M
Round: Series A
Funding Month: Aug 2022
Lead Investors: Costanoa Ventures
Additional Investors: The Engine, Moore Strategic Ventures, National Grid Partners, Satyen Sangani, Ron Avnur, and Rebecca Li
Company Website: https://synccomputing.com/
Software Category: Cloud Infrastructure Optimization
About the Company: Founded in 2019 by Jeff Chou and Suraj Bramhavar, Sync Computing is the first company to harness the power of mathematical optimization to radically enhance the way developers control cloud infrastructure to achieve business goals for data and machine learning workloads. Spun out of the MIT Lincoln Lab, Sync was founded on the vision of a future of computing no longer dictated by single chips, but by the orchestration of thousands. Sync recently released an API and “autotuner” for Spark on AWS EMR, Amazon’s cloud big data platform, and Databricks on AWS. Self-service support for Databricks on Azure is in the works. The company's mission is to radically transform the way developers control cloud infrastructure for data and machine learning workloads. Sync Computing's headquarter is in Cambridge, Massachusetts, and currently has 14 employees.
Source: https://www.globenewswire.com/news-release/2022/08/16/2499310/0/en/Infrastructure-Optimization-Innovator-Sync-Computing-Raises-15-5M-to-Transform-How-Developers-Control-Data-and-Machine-Learning-Cloud-Infrastructure.html https://techcrunch.com/2022/08/16/sync-computing-rakes-in-15-5m-to-automatically-optimize-cloud-resources/