Sync Computing, a cloud infrastructure optimization company, announced its $15.5M Series A funding, led by Costanoa Ventures, with support from existing investors The Engine, Moore Strategic Ventures, and National Grid Partners. As part of this latest fundraise, Sync has received a vote of confidence and funding support from angel investors Satyen Sangani, CEO and co-founder of Alation; Ron Avnur, formerly with Google, MongoDB, and Dremio; and Rebecca Li, formerly with Databricks.
Harnessing the power of mathematical optimization, Sync orchestrates and provisions cloud infrastructure to achieve cost and runtime goals with one click. This transforms the way developers navigate and control their cloud footprint for data and machine learning workloads.
Alongside its Series A, Sync also announced the API launch for its Apache Spark Autotuner, which enables data engineers to apply optimization solutions across all of their data jobs. Field-tested with large enterprise customers, the language learning platform serving more than 40 million monthly active users, the Autotuner has gotten traction across engineering teams at global leaders Disney and multiple other Fortune 500 companies.
Initially launched as a self-serve product for Amazon EMR and Databricks on AWS infrastructure, the Sync Autotuner for Apache Spark has been expanded with the release of the public API. It enables data engineering teams to programmatically apply Autotuner’s intelligence to all of their jobs, and it allows users to enable continuous monitoring and alerts through custom integration with AWS EMR or Databricks.
“Amid fears of an impending economic recession, now more than ever, cloud computing costs are under the microscope. Companies are in urgent need to curb cloud spend and quickly increase their efficiency without hiring new people or driving the burden upon their team,” said Jeff Chou, co-founder and CEO of Sync Computing. “Sync empowers data-driven companies to do more on the cloud with less. We could not be more thrilled about our latest round of investment and the continued confidence in our team to drive innovation in the cloud ecosystem.”
Spun out of MIT Lincoln Laboratory by Chou and Suraj Bramhavar, Activate Fellows (Cohort 2020) supported by DARPA’s Microsystems Technology Office, and MIT Startup Exchange Accelerator veterans, Sync’s technology empowers organizations that run thousands of data pipelines daily to optimize low-level compute resources automatically to make running the cloud easier, faster and cheaper.
For more information, visit https://www.synccomputing.com/
