Sync Computing, a deep tech distributed cloud infrastructure company, is emerging from stealth mode, revealing its initial products and $6.1 million funding.
Sync Computing is using the new capital to advance its leadership in the modern data infrastructure space and support further development of its accelerated data infrastructure engine and solution lines.
Moore Strategic Ventures and National Grid Partners led the round, joining existing investor The Engine. Alongside active pilots with both public and private enterprise customers in SaaS, finance, and data sectors, the company recently was awarded a $1 million contract from the Department of Defense for large, distributed workload optimization.
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 is harnessing the computational power of physics to find mathematically the best way to provision cloud infrastructure for data, machine learning, and scientific workloads.
Sync’s technology empowers organizations who run thousands of data pipelines daily to automatically optimize low level compute resources to make running the cloud easier, faster, and cheaper, according to the vendor.
“With today’s constantly expanding use of large-scale cloud computing, we’ve seen companies who have only a dozen engineers responsible for managing up to 10,000 data pipelines per day—it’s physically impossible to optimize cloud infrastructure at such large scales—until now,” said Chou, co-founder and CEO of Sync Computing. “We’ve essentially converted large scale cloud infrastructure into a math problem, and then solve it in seconds. We are also excited to do our part in reducing the wasteful use of cloud resources and its impact on global carbon footprint. We are bullish on what 2022 will bring for us, for our customers, and for the cloud space.”
As part of its public launch, Sync is debuting two solutions - the Sync Autotuner for Apache Spark, and the Sync Orchestrator - a major step in large-scale cloud multi-tenant orchestration of complex data pipelines.
The Sync Autotuner for Apache Spark eliminates provisioning friction for EMR and Databricks on AWS infrastructure, while reducing runtimes and job costs dramatically.
For more information about this news, visit www.synccomputing.com.