獅子座的資本

2022年11月21日

共享支撐,一個開源連續機器學習(ML)平台,宣布關閉了一個300萬美元的種子資金輪由種族資本在Y Combinator的參與下,Soma資本,獅子座的資本,先鋒基金和布蘭登·達·芬奇等知名天使投資人Instacart創始人之一;奧利弗·卡梅倫在郵輪產品副總裁;前副總裁和傑裏米·斯坦利數據科學Instacart Anomalo創始人之一。支撐,由Emmanuel Turlay克魯斯的毫升基礎設施團隊的創始成員,是第一個也是唯一一個平台提供端到端連續自動化機器學習毫升工程師。支撐,機器學習工程師可以自動化,時間表,和克隆管道每當新的標簽數據是可用的。公司可以使用語義擴大他們的機器學習團隊,專注於培訓新模式而不是擔心維護自動化所需的必要的基礎設施。平台提供了一個輕量級開源毫升和數據科學管道發展和執行框架提供一個簡單的新員工培訓經驗。機器學習工程師可以簡單地使用本機Python開發和運行任意端到端管道跟蹤和版本的所有資產和工件(模型、數據集、陰謀、指標、代碼等),和可視化直觀和全麵的用戶界麵。據Gartner AI-derived業務價值預計將達到3.9萬億年的2022美元。盡管增加的使用人工智能和機器學習在財富500強企業,機器學習往往未得到充分利用,甚至是濫用,沒有行業標準持續部署,自動化和集成。 According to VentureBeat, 87% of AI projects will never make it into production. “At Cruise, in order to deploy more ML models to autonomous cars, we had to grow the Infrastructure teams linearly with the number of ML Engineers and models to support. This costly organizational strain led me to realize that making ML pipelines automated and ML engineers autonomous is not just a nice-to-have, but a requirement in order to ship more, better, and safer models,” said Mr. Turlay, CEO of Sematic. “Once we put the right ML platform in place, the productivity of Cruise’s ML teams exploded, enabling them to reach launch goals.” Turlay and his team were Tech Leads of the ML Infrastructure team at Cruise. Related Posts “I want to democratize access to continuous machine learning. Not all businesses can afford to hire dozens of ML Infrastructure engineers like we did at Cruise. My team and I are building Sematic as the go-to open-source ML platform for companies of all sizes. Safety and accuracy of machine learning models and empowering ML teams to move much faster is our mission,” said Turlay. Since its launch in August 2022, Sematic has already closed commercial customers such as Voxel, an AI-powered workplace safety platform, and has gained significant adoption from the open-source community. “Sematic is exactly the kind of machine learning platform we want at Voxel. It gives my ML team unparalleled visibility into our ML pipelines and just the right level of abstraction for us to focus on business logic and leverage cloud resources without requiring infrastructure skills,” said Anurag Kanungo , CTO and Co-founder of Voxel. “Data is the new oil and Sematic is building the new oil rig for the ML engineer team,” said Alfred Chuang, Partner at Race Capital. “Today, ML engineers heavily rely on their infrastructure team for testing, automation, and deployment of ML models. This inefficiency leads to more than 80% of all trained ML models never making it to production. We are proud to partner with Emmanuel and his team to empower the next million data scientists and ML engineers and beyond. This is a crucial problem whose solution will push the entire data and machine learning industry forward.”