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Machine learning platform Hugging Face announced May 9 that they had raised $100M in Series C funding. Lux Capital led the round, with participation from Addition, AIX Ventures, a_capital, Betaworks, Coatue, Sequoia, SV Angel, and individual angel investors. Hugging Face will use the funding on R+D, product development, and education.
Predibase, a low-code machine learning platform, came out of stealth this week and announced $16.25M in Series A and seed funding. Greylock led both rounds, with participation from The Factory and angel investors. The funding will go towards hiring additional engineering and ML talent, as well as the go-to-market strategy and bringing Predibase into general availability.
Pyramid Analytics, a decision intelligence and augmented analytics platform, announced on May 9 that they had closed $120M in Series E financing. HIG Growth Partners led the round, with participation from existing investors Clal Insurance Enterprises Holdings, General Oriental Investments, and Kingfisher Capital, and new investors JVP, Maor Investments, Sequoia Capital, and Viola Growth. Pyramid will use the money on product development, continued R+D, expanding partnerships globally, and hiring to support all of these efforts.
Launches and Updates
On May 10, Databricks announced a pay-as-you-go lakehouse offering on AWS, available now. Customers will be able to launch a lakehouse from the AWS Marketplace whether or not they’ve used Databricks before; they can set up a Databricks account from within AWS, and even consolidate their Databricks usage bills into their AWS billing.
At Google I/O, Google unveiled its new Language Model for Dialog Applications (LaMDA) 2 conversational AI model, along with AI Test Kitchen, an app to demonstrate use cases for LaMDA 2. LaMDA is a generative text model, aiming to produce relevant textual responses based on patterns it recognizes from linguistic input. While no date has been announced for general availability, Google plans to open up LaMDA access to small groups of people.
Mindtech Global, a synthetic data creation platform, has announced updates to its Chameleon platform. Chameleon 22.1 lets users automatically generate millions of “actors” in virtual worlds, creating privacy-compliant synthetic visual data for training computer vision systems. To address known bias issues, the Chameleon actors now have a range of configuration options, including height, build, age, skin tone, and clothing and hairstyle options.
Privacera, a data access governance company, announced the release of the latest version of Privacera Platform 6.3 and PrivaceraCloud 4.3. New features include extending Attribute Based Access Control across all supported data and analytical sources, supplementing existing role-based and tag-based access control mechanisms; along with enhanced support for Google BigQuery, Starburst Enterprise, Databricks, and Snowflake.
At their Beyond 2022 event this week, ThoughtSpot announced numerous new capabilities for their cloud analytics platform. Key updates include integrations and connectors for Amazon Redshift Serverless, Snowflake Data Marketplace, Databricks Partner Connect, Dremio, and Starburst Galaxy; templates, code samples, and ThoughtSpot Blocks to accelerate the development process; and automation capabilities to trigger actions based on analytics.
On June 7 and 8, DataRobot will host DataRobot AIX 22, a free virtual event to explore innovation in AI, analytics, and data science. Featured speakers include DataRobot executives Dan Wright, Debanjan Saha, Nenshad Bardoliwalla, and Michael Schmidt. Register for the event at the DataRobot AIX 22 website.