Sync Computing, a Boston, MA-based deep tech, cloud infrastructure optimization company, raised $15.5M in Series A funding.
The round was led by Costanoa Ventures, with participation from existing investors The Engine, Moore Strategic Ventures, National Grid Partners, Satyen Sangani, Ron Avnur, and Rebecca Li.
The company intends to use the funds to accelerate growth and expand operations.
Spun out of MIT Lincoln Laboratory by Jeff Chou and Suraj Bramhavar, Activate Fellows (Cohort 2020) supported by DARPA’s Microsystems Technology Office, and MIT Startup Exchange Accelerator veterans, Sync Computing harnesses mathematical optimization to enhance the way developers control cloud infrastructure to achieve business goals for data and machine learning workloads.
Alongside its Series A, Sync also announced today the public API launch for its Apache Spark Autotuner, which enables data engineers to automatically apply optimization solutions across all of their data jobs. Already field-tested with large enterprise customers such as Duolingo, a 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 not only enables data engineering teams to programmatically apply Autotuner’s intelligence to all of their jobs, but it also allows users to enable continuous monitoring and alerts through custom integration with AWS EMR or Databricks.
FinSMEs
16/08/2022