Decide Which Startup Deserves Best Pitch Honors and Top Prize Worth $1M at Microsoft Build 2019
Microsoft Build 2019 (May 6-8th ) is right around the corner. Over the course of three days, developers from around the world will descend upon Seattle to experience the latest technologies and imagine new ways to deliver innovative solutions.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Through Microsoft for Startups and M12, we extend this mission to founders around the world as they build and scale their companies. To that end, we’re bringing some of our best startups to Build 2019.
Announcing Startups at Microsoft Build: Attendee Choice Award
For those attending the conference, we invite you to visit the startup gallery, where we have assembled eight innovative startups across a range of technologies to determine the “Startups at Microsoft Build: Attendee Choice Award.” Attendees are invited to vote on which startup they feel has the most compelling pitch. To turbo-charge their growth, the winning startup will be awarded a complimentary set of comarketing benefits (estimated value $1M.)
So, if you are attending Build this year, stop by startup alley, meet these incredible startup teams and cast your vote for “best pitch.” For those of you who have not registered, don’t miss out on this opportunity to come join us as we celebrate with innovators and entrepreneurs from around the world. Register here.
Here are our competitors:
Aqua's Container Security Platform provides full visibility into container activity, allowing organizations to detect and prevent suspicious activity and attacks, providing transparent, automated security while helping to enforce policy and simplify regulatory compliance.
Founded in 2014, Codefresh is the first Kubernetes-native CI/CD. After GA in 2017, Codefresh has already gained over 20,000 users. Unlike legacy solutions, Codefresh pipelines are uniquely designed for cloud-native technologies like Kubernetes and Helm.
Discover and connect to thousands of APIs in the world's largest API Hub. There are millions of software programs out there and they’re reshaping every aspect of our lives. We believe that they can get exponentially better by sharing data and functionality with each other. APIs are the language that software uses to communicate and connect.
WhiteSource secures and manages open source software, allowing developers to focus on building great products. It automates component detection; security vulnerability alerts and fixes; license risk and compliance analysis plus policy enforcement; quality review, and new version alerts.
CrateDB for Azure IoT is a SQL database for Industrial time series, which is orders of magnitude larger & more complex than ordinary time series. With 10x faster performance, unlimited scaling, and plug & play Azure IoT integration, CrateDB is the real-time alternative to Azure Time Series Insights for large-scale IoT.
Logz.io provides an intelligent and scalable machine data analytics platform built on ELK and Grafana. Designed for monitoring modern applications, Logz.io combines cloud-native simplicity and scalability with crowdsourced artificial intelligence to help engineers identify critical issues before they occur and empower them to monitor, troubleshoot and secure mission-critical applications using one unified platform.
Founded by creators of Apache Kylin, Kyligence is on a mission to accelerate the productivity of its customers by automating data management, discovery, interaction, and insight generation – all without barriers. Kyligence is providing the augmented data management and analytics platform for analysts and data engineers to build and manage their data services from on-premises to multi-cloud, using machine learning to automate both data preparation and insight discovery at massive scale.
AI startup in Voice: DefinedCrowd offers an intelligent data infrastructure for AI that provides high-quality training data to help machine learning oriented products reach market quicker and with better quality. It offers efficient data workflows that enable data scientists to collect, synthesize, enrich and structure training data by combining human intelligence and machine learning capabilities to accelerate enterprise AI initiatives.